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content="https://buildwithfern.com"/><link rel="canonical" href="https://elevenlabs.io/docs/models"/><meta property="og:title" content="Models | ElevenLabs Documentation"/><meta property="og:description" content="Learn about the models that power the ElevenLabs API."/><meta name="twitter:card" content="summary"/><meta name="twitter:title" content="Models | ElevenLabs Documentation"/><meta name="twitter:description" content="Learn about the models that power the ElevenLabs API."/><link rel="icon" href="https://files.buildwithfern.com/https://elevenlabs.docs.buildwithfern.com/docs/2025-04-02T16:08:21.960Z/assets/favicon.svg"/><link href="https://cdn.jsdelivr.net/npm/katex@0.16.8/dist/katex.min.css" rel="stylesheet" fetchPriority="low"/><meta id="fern-theme-color-preferred-light" name="theme-color" content="#fff" media="(prefers-color-scheme: light)"/><meta id="fern-theme-color-preferred-dark" name="theme-color" content="#1e1e1e" media="(prefers-color-scheme: dark)"/><meta 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--accent-5: #e0e0e0; --accent-6: #d3d3d3; --accent-7: #c4c4c4; --accent-8: #afafaf; --accent-9: #404040; --accent-10: #515151; --accent-11: #6c6c6c; --accent-12: #383838; --accent-a1: #00000002; --accent-a2: #00000005; --accent-a3: #0000000d; --accent-a4: #00000016; --accent-a5: #0000001f; --accent-a6: #0000002c; --accent-a7: #0000003b; --accent-a8: #00000050; --accent-a9: #000000bf; --accent-a10: #000000ae; --accent-a11: #00000093; --accent-a12: #000000c7; --accent-contrast: #fff; --accent-surface: #f9f9f9cc; --accent-indicator: #404040; --accent-track: #404040; } @supports (color: color(display-p3 1 1 1)) { @media (color-gamut: p3) { :root, .light { --accent-1: oklch(99.4% 0 none); --accent-2: oklch(98.5% 0 none); --accent-3: oklch(96.1% 0 none); --accent-4: oklch(93.5% 0 none); --accent-5: oklch(90.6% 0 none); --accent-6: oklch(86.8% 0 none); --accent-7: oklch(82.2% 0 none); --accent-8: oklch(75.3% 0 none); --accent-9: oklch(37.1% 0 none); --accent-10: oklch(43.5% 0 none); 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0.807 0.807 0.807); --grayscale-8: color(display-p3 0.732 0.732 0.732); --grayscale-9: color(display-p3 0.553 0.553 0.553); --grayscale-10: color(display-p3 0.512 0.512 0.512); --grayscale-11: color(display-p3 0.392 0.392 0.392); --grayscale-12: color(display-p3 0.125 0.125 0.125); --grayscale-a1: #00000003; --grayscale-a2: #00000006; --grayscale-a3: #0000000f; --grayscale-a4: #00000017; --grayscale-a5: #0000001f; --grayscale-a6: #00000026; --grayscale-a7: #00000031; --grayscale-a8: #00000044; --grayscale-a9: #00000072; --grayscale-a10: #0000007c; --grayscale-a11: #0000009b; --grayscale-a12: #000000df; --grayscale-contrast: #000; --grayscale-surface: color(display-p3 1 1 1 / 80%); --grayscale-indicator: color(display-p3 0.553 0.553 0.553); --grayscale-track: color(display-p3 0.553 0.553 0.553); } } } .dark { --accent-1: #1e1e1e; --accent-2: #252525; --accent-3: #2d2d2d; --accent-4: #343434; --accent-5: #3b3b3b; --accent-6: #454545; --accent-7: #525252; --accent-8: #686868; --accent-9: 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--accent-a2: color(display-p3 1 1 1 / 0.0311); --accent-a3: color(display-p3 1 1 1 / 0.0667); --accent-a4: color(display-p3 1 1 1 / 0.0978); --accent-a5: color(display-p3 1 1 1 / 0.1289); --accent-a6: color(display-p3 1 1 1 / 0.1733); --accent-a7: color(display-p3 1 1 1 / 0.2311); --accent-a8: color(display-p3 1 1 1 / 0.3289); --accent-a9: color(display-p3 1 1 1 / 0.8622); --accent-a10: color(display-p3 1 1 1 / 0.8178); --accent-a11: color(display-p3 1 1 1 / 0.6933); --accent-a12: color(display-p3 1 1 1 / 0.8933); --accent-contrast: #311921; --accent-surface: color(display-p3 0.1725 0.1725 0.1725 / 0.5); --accent-indicator: oklch(90.7% 0 none); --accent-track: oklch(90.7% 0 none); } } } .dark { --grayscale-1: #111111; --grayscale-2: #191919; --grayscale-3: #222222; --grayscale-4: #2a2a2a; --grayscale-5: #313131; --grayscale-6: #3a3a3a; --grayscale-7: #484848; --grayscale-8: #606060; --grayscale-9: #6e6e6e; --grayscale-10: #7b7b7b; --grayscale-11: #b4b4b4; --grayscale-12: #eeeeee; 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aria-controls="radix-«R9tra6j5etbnatb»-content-82c0586945b33705f2af2ce9ce0300bfc7e8bf121a45e06416a3f5ab1e2f5b99" data-state="inactive" id="radix-«R9tra6j5etbnatb»-trigger-82c0586945b33705f2af2ce9ce0300bfc7e8bf121a45e06416a3f5ab1e2f5b99" tabindex="-1" data-orientation="horizontal" data-radix-collection-item="" href="/docs/conversational-ai/overview"><span class="bg-card-background border-border-default rounded-3/2 shadow-card-grayscale mr-4 flex size-6 items-center justify-center border group-hover:group-data-[state=inactive]:bg-(color:--accent-a3) group-hover:group-data-[state=inactive]:border-(color:--accent-a8) group-hover:group-data-[state=inactive]:text-(color:--accent-a11) group-data-[state=active]:bg-(color:--accent-10) group-data-[state=active]:text-background group-data-[state=active]:border-transparent group-data-[state=active]:shadow-none"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fas" icon="book" role="img" viewBox="0 0 448 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><path fill="currentColor" d="M96 0C43 0 0 43 0 96V416c0 53 43 96 96 96H384h32c17.7 0 32-14.3 32-32s-14.3-32-32-32V384c17.7 0 32-14.3 32-32V32c0-17.7-14.3-32-32-32H384 96zm0 384H352v64H96c-17.7 0-32-14.3-32-32s14.3-32 32-32zm32-240c0-8.8 7.2-16 16-16H336c8.8 0 16 7.2 16 16s-7.2 16-16 16H144c-8.8 0-16-7.2-16-16zm16 48H336c8.8 0 16 7.2 16 16s-7.2 16-16 16H144c-8.8 0-16-7.2-16-16s7.2-16 16-16z" /></svg></span><span class="truncate font-medium group-data-[state=active]:font-semibold">Conversational AI</span></a><a class="min-h-8 lg:min-h-9 hover:text-(color:--accent) rounded-2 group flex min-w-0 flex-1 select-none items-center justify-start py-2 text-base lg:px-3 lg:text-sm data-[state=inactive]:text-(color:--grayscale-a11) data-[state=active]:text-(color:--accent-a11) [&_svg]:size-4" type="button" role="tab" aria-selected="false" aria-controls="radix-«R9tra6j5etbnatb»-content-da566601eefc545e7b55045aa766b68d136194805d7098f0ec17d4860f997d51" data-state="inactive" id="radix-«R9tra6j5etbnatb»-trigger-da566601eefc545e7b55045aa766b68d136194805d7098f0ec17d4860f997d51" tabindex="-1" data-orientation="horizontal" data-radix-collection-item="" href="/docs/api-reference/introduction"><span class="bg-card-background border-border-default rounded-3/2 shadow-card-grayscale mr-4 flex size-6 items-center justify-center border group-hover:group-data-[state=inactive]:bg-(color:--accent-a3) group-hover:group-data-[state=inactive]:border-(color:--accent-a8) group-hover:group-data-[state=inactive]:text-(color:--accent-a11) group-data-[state=active]:bg-(color:--accent-10) group-data-[state=active]:text-background group-data-[state=active]:border-transparent group-data-[state=active]:shadow-none"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fas" icon="book" role="img" viewBox="0 0 448 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><path fill="currentColor" d="M96 0C43 0 0 43 0 96V416c0 53 43 96 96 96H384h32c17.7 0 32-14.3 32-32s-14.3-32-32-32V384c17.7 0 32-14.3 32-32V32c0-17.7-14.3-32-32-32H384 96zm0 384H352v64H96c-17.7 0-32-14.3-32-32s14.3-32 32-32zm32-240c0-8.8 7.2-16 16-16H336c8.8 0 16 7.2 16 16s-7.2 16-16 16H144c-8.8 0-16-7.2-16-16zm16 48H336c8.8 0 16 7.2 16 16s-7.2 16-16 16H144c-8.8 0-16-7.2-16-16s7.2-16 16-16z" /></svg></span><span class="truncate font-medium group-data-[state=active]:font-semibold">API reference</span></a></div></div><ul class="fern-sidebar-group space-y-6 lg:px-1"><li><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">GET STARTED</span></div><ul class="fern-sidebar-group"><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/overview"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fad" icon="house" role="img" viewBox="0 0 576 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><g class="fa-duotone-group"><path class="fa-secondary" fill="currentColor" d="M64 270.5L64.1 472c0 22.1 17.9 40 40 40H184c22.1 0 40-17.9 40-40V383.7c0-17.7 14.3-32 32-32h64c17.7 0 32 14.3 32 32V472c0 22.1 17.9 40 40 40h80.5c22.1 0 40-18 40-40.1l-.4-201.3L288 74.5 64 270.5z" /><path class="fa-primary" fill="currentColor" d="M266.9 7.9C279-2.6 297-2.6 309.1 7.9l256 224c13.3 11.6 14.6 31.9 3 45.2s-31.9 14.6-45.2 3L288 74.5 53.1 280.1c-13.3 11.6-33.5 10.3-45.2-3s-10.3-33.5 3-45.2l256-224z" /></g></svg><span class="mr-auto w-full hyphens-auto break-words">Overview</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/quickstart"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fad" icon="book-sparkles" role="img" viewBox="0 0 448 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><g class="fa-duotone-group"><path class="fa-secondary" fill="currentColor" d="M64 416c0-17.7 14.3-32 32-32H416v64H96c-17.7 0-32-14.3-32-32z" /><path class="fa-primary" fill="currentColor" d="M0 96C0 43 43 0 96 0H384h32c17.7 0 32 14.3 32 32V352c0 17.7-14.3 32-32 32H352 256 96c-17.7 0-32 14.3-32 32s14.3 32 32 32H256h96 64c17.7 0 32 14.3 32 32s-14.3 32-32 32H384 96c-53 0-96-43-96-96V96zM264 200l-38.8 16.6c-6.5 2.8-6.5 11.9 0 14.7L264 248l16.6 38.8c2.8 6.5 11.9 6.5 14.7 0L312 248l38.8-16.6c6.5-2.8 6.5-11.9 0-14.7L312 200l-16.6-38.8c-2.8-6.5-11.9-6.5-14.7 0L264 200zM168.8 78.3L160 96l-17.7 8.8c-5.9 2.9-5.9 11.4 0 14.3L160 128l8.8 17.7c2.9 5.9 11.4 5.9 14.3 0L192 128l17.7-8.8c5.9-2.9 5.9-11.4 0-14.3L192 96l-8.8-17.7c-2.9-5.9-11.4-5.9-14.3 0z" /></g></svg><span class="mr-auto w-full hyphens-auto break-words">Quickstart</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/models"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fad" icon="waveform-lines" role="img" viewBox="0 0 640 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><g class="fa-duotone-group"><path class="fa-secondary" fill="currentColor" d="M320 0c17.7 0 32 14.3 32 32V480c0 17.7-14.3 32-32 32s-32-14.3-32-32V32c0-17.7 14.3-32 32-32zM512 64c17.7 0 32 14.3 32 32V416c0 17.7-14.3 32-32 32s-32-14.3-32-32V96c0-17.7 14.3-32 32-32zM128 192c17.7 0 32 14.3 32 32v64c0 17.7-14.3 32-32 32s-32-14.3-32-32V224c0-17.7 14.3-32 32-32z" /><path class="fa-primary" fill="currentColor" d="M256 128c0-17.7-14.3-32-32-32s-32 14.3-32 32V384c0 17.7 14.3 32 32 32s32-14.3 32-32V128zm192 32c0-17.7-14.3-32-32-32s-32 14.3-32 32V352c0 17.7 14.3 32 32 32s32-14.3 32-32V160zM0 256a32 32 0 1 0 64 0A32 32 0 1 0 0 256zm576 0a32 32 0 1 0 64 0 32 32 0 1 0 -64 0z" /></g></svg><span class="mr-auto w-full hyphens-auto break-words">Models</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/changelog"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fad" icon="rectangle-history" role="img" viewBox="0 0 512 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><g class="fa-duotone-group"><path class="fa-secondary" fill="currentColor" d="M464 104c0-13.3-10.7-24-24-24L72 80c-13.3 0-24 10.7-24 24s10.7 24 24 24l368 0c13.3 0 24-10.7 24-24zM416 24c0-13.3-10.7-24-24-24L120 0C106.7 0 96 10.7 96 24s10.7 24 24 24l272 0c13.3 0 24-10.7 24-24z" /><path class="fa-primary" fill="currentColor" d="M448 160c35.3 0 64 28.7 64 64l0 224c0 35.3-28.7 64-64 64L64 512c-35.3 0-64-28.7-64-64L0 224c0-35.3 28.7-64 64-64l384 0z" /></g></svg><span class="mr-auto w-full hyphens-auto break-words">Changelog</span></a></li></ul></li><li><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">CAPABILITIES</span></div><ul class="fern-sidebar-group"><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/text-to-speech"><span class="mr-auto w-full hyphens-auto break-words">Text to Speech</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/speech-to-text"><span class="mr-auto w-full hyphens-auto break-words">Speech to Text</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/voice-changer"><span class="mr-auto w-full hyphens-auto break-words">Voice Changer</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/voice-isolator"><span class="mr-auto w-full hyphens-auto break-words">Voice Isolator</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/dubbing"><span class="mr-auto w-full hyphens-auto break-words">Dubbing</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/sound-effects"><span class="mr-auto w-full hyphens-auto break-words">Sound Effects</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/voices"><span class="mr-auto w-full hyphens-auto break-words">Voices</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/capabilities/forced-alignment"><span class="mr-auto w-full hyphens-auto break-words">Forced Alignment</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/conversational-ai/overview"><span class="mr-auto w-full hyphens-auto break-words">Conversational AI</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-external-link"><path d="M15 3h6v6"></path><path d="M10 14 21 3"></path><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path></svg></a></li></ul></li><li><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">DEVELOPER GUIDES</span></div><ul class="fern-sidebar-group"><li><div data-state="closed"><button class="fern-sidebar-link" data-state="inactive"><span class="mr-auto">Tutorials</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down expand-indicator -rotate-90" data-state="inactive"><path d="m6 9 6 6 6-6"></path></svg></button></div></li><li><a target="_blank" rel="noreferrer" class="fern-sidebar-link" data-state="inactive" href="https://github.com/elevenlabs/elevenlabs-examples"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fab" icon="github" role="img" viewBox="0 0 496 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><path fill="currentColor" d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z" /></svg><span class="mr-auto w-full hyphens-auto break-words">Example projects</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-external-link"><path d="M15 3h6v6"></path><path d="M10 14 21 3"></path><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path></svg></a></li></ul></li><li><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">BEST PRACTICES</span></div><ul class="fern-sidebar-group"><li><div data-state="closed"><button class="fern-sidebar-link" data-state="inactive"><span class="mr-auto">Prompting</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down expand-indicator -rotate-90" data-state="inactive"><path d="m6 9 6 6 6-6"></path></svg></button></div></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/best-practices/latency-optimization"><span class="mr-auto w-full hyphens-auto break-words">Latency optimization</span></a></li></ul></li><li><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">PRODUCT GUIDES</span></div><ul class="fern-sidebar-group"><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/product-guides/overview"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fad" icon="book-user" role="img" viewBox="0 0 448 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><g class="fa-duotone-group"><path class="fa-secondary" fill="currentColor" d="M64 416c0-17.7 14.3-32 32-32H416v64H96c-17.7 0-32-14.3-32-32z" /><path class="fa-primary" fill="currentColor" d="M96 0C43 0 0 43 0 96V416c0 53 43 96 96 96H384h32c17.7 0 32-14.3 32-32s-14.3-32-32-32H352 256 96c-17.7 0-32-14.3-32-32s14.3-32 32-32H256h96 64c17.7 0 32-14.3 32-32V32c0-17.7-14.3-32-32-32H384 96zm80 128a64 64 0 1 1 128 0 64 64 0 1 1 -128 0zM128 304c0-44.2 35.8-80 80-80h64c44.2 0 80 35.8 80 80c0 8.8-7.2 16-16 16H144c-8.8 0-16-7.2-16-16z" /></g></svg><span class="mr-auto w-full hyphens-auto break-words">Overview</span></a></li><li><div data-state="closed"><button class="fern-sidebar-link" data-state="inactive"><span class="mr-auto">Playground</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down expand-indicator -rotate-90" data-state="inactive"><path d="m6 9 6 6 6-6"></path></svg></button></div></li><li><div data-state="closed"><button class="fern-sidebar-link" data-state="inactive"><span class="mr-auto">Products</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down expand-indicator -rotate-90" data-state="inactive"><path d="m6 9 6 6 6-6"></path></svg></button></div></li><li><div data-state="closed"><button class="fern-sidebar-link" data-state="inactive"><span class="mr-auto">Voices</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down expand-indicator -rotate-90" data-state="inactive"><path d="m6 9 6 6 6-6"></path></svg></button></div></li><li><div data-state="closed"><button class="fern-sidebar-link" data-state="inactive"><span class="mr-auto">Audio tools</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down expand-indicator -rotate-90" data-state="inactive"><path d="m6 9 6 6 6-6"></path></svg></button></div></li><li><div data-state="closed"><button class="fern-sidebar-link" data-state="inactive"><span class="mr-auto">Administration</span><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down expand-indicator -rotate-90" data-state="inactive"><path d="m6 9 6 6 6-6"></path></svg></button></div></li></ul></li><li><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">RESOURCES</span></div><ul class="fern-sidebar-group"><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/resources/libraries"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fad" icon="books" role="img" viewBox="0 0 512 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><g class="fa-duotone-group"><path class="fa-secondary" fill="currentColor" d="M0 32C0 14.3 14.3 0 32 0H96c17.7 0 32 14.3 32 32V96H0V32zm0 96H128V384H0V128zM0 416H128v64c0 17.7-14.3 32-32 32H32c-17.7 0-32-14.3-32-32V416zM160 32c0-17.7 14.3-32 32-32h64c17.7 0 32 14.3 32 32V96H160V32zm0 96H288V384H160V128zm0 288H288v64c0 17.7-14.3 32-32 32H192c-17.7 0-32-14.3-32-32V416zM289.4 117.8L412.2 85l8.2 30.9L297.6 148.8l-8.2-30.9zm74.2 278.3l122.8-32.9 8.2 30.9L371.8 427l-8.2-30.9z" /><path class="fa-primary" fill="currentColor" d="M288 112.6l1.4 5.2L412.2 85 395.8 23.7c-4.5-17-22-27.1-38.9-22.6L295.5 17.6c-2.7 .7-5.2 1.8-7.5 3.1L288 96H160v32H288l0-15.4zm132.4 3.2L297.6 148.8l66 247.4 122.8-32.9-66-247.4zM388.2 488.3c4.5 17 22 27.1 38.9 22.6l61.4-16.5c16.9-4.6 27-22.1 22.5-39.1l-16.3-61.1L371.8 427l16.3 61.3zM0 96v32H128V96H0zM128 384H0v32H128V384zm160 0H160v32H288V384z" /></g></svg><span class="mr-auto w-full hyphens-auto break-words">Libraries & SDKs</span></a></li><li><a class="fern-sidebar-link" data-state="inactive" href="/docs/resources/error-messages"><svg xmlns="http://www.w3.org/2000/svg" focusable="false" prefix="fad" icon="triangle-exclamation" role="img" viewBox="0 0 512 512" aria-hidden="true"><defs><style>.fa-secondary{opacity:.4}</style></defs><g class="fa-duotone-group"><path class="fa-secondary" fill="currentColor" d="M256 32c14.2 0 27.3 7.5 34.5 19.8l216 368c7.3 12.4 7.3 27.7 .2 40.1S486.3 480 472 480H40c-14.3 0-27.6-7.7-34.7-20.1s-7-27.8 .2-40.1l216-368C228.7 39.5 241.8 32 256 32zm0 128c-13.3 0-24 10.7-24 24V296c0 13.3 10.7 24 24 24s24-10.7 24-24V184c0-13.3-10.7-24-24-24zm32 224a32 32 0 1 0 -64 0 32 32 0 1 0 64 0z" /><path class="fa-primary" fill="currentColor" d="M280 184c0-13.3-10.7-24-24-24s-24 10.7-24 24V296c0 13.3 10.7 24 24 24s24-10.7 24-24V184zM256 416a32 32 0 1 0 0-64 32 32 0 1 0 0 64z" /></g></svg><span class="mr-auto w-full hyphens-auto break-words">Error 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hyphens-auto break-words text-sm transition-colors hover:transition-none text-(color:--grayscale-a11) hover:text-(color:--grayscale-a12)" style="padding-left:0px" href="/docs/models#models-overview">Models overview</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-(color:--grayscale-a11) hover:text-(color:--grayscale-a12)" style="padding-left:0px" href="/docs/models#multilingual-v2">Multilingual v2</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-(color:--grayscale-a11) hover:text-(color:--grayscale-a12)" style="padding-left:0px" href="/docs/models#flash-v25">Flash v2.5</a></li><li class="mb-2 last:mb-0" data-depth="1"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-(color:--grayscale-a11) hover:text-(color:--grayscale-a12)" style="padding-left:12px" href="/docs/models#considerations">Considerations</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-(color:--grayscale-a11) hover:text-(color:--grayscale-a12)" style="padding-left:0px" href="/docs/models#model-selection-guide">Model selection guide</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-(color:--grayscale-a11) hover:text-(color:--grayscale-a12)" style="padding-left:0px" href="/docs/models#character-limits">Character limits</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-(color:--grayscale-a11) hover:text-(color:--grayscale-a12)" style="padding-left:0px" href="/docs/models#scribe-v1">Scribe v1</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm 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class="fern-prose prose hyphens-auto break-words prose-h1:mt-[1.5em] first:prose-h1:mt-0 max-w-full"><h2 id="flagship-models" data-state="closed">Flagship models</h2> <div class="my-6 grid gap-4 first:mt-0 sm:gap-6 grid-cols-1 sm:grid-cols-2"><a class="fern-card interactive not-prose rounded-3 relative block border p-6 text-base" href="/docs/models#multilingual-v2"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Eleven Multilingual v2</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Our most lifelike, emotionally rich speech synthesis model</p><div class="mt-4 space-y-2"><div class="text-sm">Most natural-sounding output</div><div class="text-sm">29 languages supported</div><div class="text-sm">10,000 character limit</div><div class="text-sm">Rich emotional expression</div></div></div></div></div></a><a class="fern-card interactive not-prose rounded-3 relative block border p-6 text-base" href="/docs/models#flash-v25"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Eleven Flash v2.5</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Our fast, affordable speech synthesis model</p><div class="mt-4 space-y-2"><div class="text-sm">Ultra-low latency (~75ms†)</div><div class="text-sm">32 languages supported</div><div class="text-sm">40,000 character limit</div><div class="text-sm">Faster model, 50% lower price per character</div></div></div></div></div></a></div> <div class="my-6 grid gap-4 first:mt-0 sm:gap-6 grid-cols-1"><a class="fern-card interactive not-prose rounded-3 relative block border p-6 text-base" href="/docs/models#scribe-v1"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Scribe v1</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>State-of-the-art speech recognition model</p><div class="mt-4 space-y-2"><div class="text-sm">Accurate transcription in 99 languages</div><div class="text-sm">Precise word-level timestamps</div><div class="text-sm">Speaker diarization</div><div class="text-sm">Dynamic audio tagging</div></div></div></div></div></a></div> <div class="text-center"><div><a class="fern-mdx-link" href="https://elevenlabs.io/pricing/api">Pricing</a></div></div> <h2 id="models-overview" data-state="closed">Models overview</h2> <p>The ElevenLabs API offers a range of audio models optimized for different use cases, quality levels, and performance requirements.</p> <div class="fern-table-root not-prose" data-state="closed"><div dir="ltr" class="fern-scroll-area" style="position:relative;--radix-scroll-area-corner-width:0px;--radix-scroll-area-corner-height:0px"><style>[data-radix-scroll-area-viewport]{scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;}[data-radix-scroll-area-viewport]::-webkit-scrollbar{display:none}</style><div data-radix-scroll-area-viewport="" class="fern-scroll-area-viewport" data-scrollbars="both" style="overflow-x:hidden;overflow-y:hidden"><div style="min-width:100%;display:table"><table class="fern-table"><thead><tr><th>Model ID</th><th>Description</th><th>Languages</th></tr></thead><tbody><tr><td><code>eleven_multilingual_v2</code></td><td>Our most lifelike model with rich emotional expression</td><td><code>en</code>, <code>ja</code>, <code>zh</code>, <code>de</code>, <code>hi</code>, <code>fr</code>, <code>ko</code>, <code>pt</code>, <code>it</code>, <code>es</code>, <code>id</code>, <code>nl</code>, <code>tr</code>, <code>fil</code>, <code>pl</code>, <code>sv</code>, <code>bg</code>, <code>ro</code>, <code>ar</code>, <code>cs</code>, <code>el</code>, <code>fi</code>, <code>hr</code>, <code>ms</code>, <code>sk</code>, <code>da</code>, <code>ta</code>, <code>uk</code>, <code>ru</code></td></tr><tr><td><code>eleven_flash_v2_5</code></td><td>Ultra-fast model optimized for real-time use (~75ms†)</td><td>All <code>eleven_multilingual_v2</code> languages plus: <code>hu</code>, <code>no</code>, <code>vi</code></td></tr><tr><td><code>eleven_flash_v2</code></td><td>Ultra-fast model optimized for real-time use (~75ms†)</td><td><code>en</code></td></tr><tr><td><code>eleven_multilingual_sts_v2</code></td><td>State-of-the-art multilingual voice changer model (Speech to Speech)</td><td><code>en</code>, <code>ja</code>, <code>zh</code>, <code>de</code>, <code>hi</code>, <code>fr</code>, <code>ko</code>, <code>pt</code>, <code>it</code>, <code>es</code>, <code>id</code>, <code>nl</code>, <code>tr</code>, <code>fil</code>, <code>pl</code>, <code>sv</code>, <code>bg</code>, <code>ro</code>, <code>ar</code>, <code>cs</code>, <code>el</code>, <code>fi</code>, <code>hr</code>, <code>ms</code>, <code>sk</code>, <code>da</code>, <code>ta</code>, <code>uk</code>, <code>ru</code></td></tr><tr><td><code>eleven_english_sts_v2</code></td><td>English-only voice changer model (Speech to Speech)</td><td><code>en</code></td></tr><tr><td><code>scribe_v1</code></td><td>State-of-the-art speech recognition model</td><td><a class="fern-mdx-link" href="/docs/capabilities/speech-to-text#supported-languages">99 languages</a></td></tr></tbody></table></div></div></div></div> <small>† Excluding application & network latency</small> <div class="fern-accordion fern-card m-mdx" data-orientation="vertical"><details data-state="closed" data-orientation="vertical" class="fern-accordion-item" id="older-models"><summary type="button" aria-controls="radix-«R4hnjrd5etbnatb»" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-«Rhnjrd5etbnatb»" class="fern-accordion-trigger" data-radix-collection-item=""><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-right fern-accordion-trigger-arrow"><path d="m9 18 6-6-6-6"></path></svg><h6 class="fern-accordion-trigger-title">Older Models</h6></summary><div data-state="closed" id="radix-«R4hnjrd5etbnatb»" role="region" aria-labelledby="radix-«Rhnjrd5etbnatb»" data-orientation="vertical" class="fern-collapsible flex flex-col" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"><div class="px-5"><div data-intent="warning" class="fern-callout"><div class="flex items-start space-x-4"><div class="[&_svg]:size-icon-md mt-0.5 w-4"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-bell"><path d="M6 8a6 6 0 0 1 12 0c0 7 3 9 3 9H3s3-2 3-9"></path><path d="M10.3 21a1.94 1.94 0 0 0 3.4 0"></path></svg></div><div class="-my-4 flex-1 overflow-x-auto text-sm before:mb-4 before:block after:mt-4 after:block"><h5 class="leading-snug"></h5><p>These models are maintained for backward compatibility but are not recommended for new projects.</p></div></div></div><div class="fern-table-root not-prose" data-state="closed"><div dir="ltr" class="fern-scroll-area" style="position:relative;--radix-scroll-area-corner-width:0px;--radix-scroll-area-corner-height:0px"><style>[data-radix-scroll-area-viewport]{scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;}[data-radix-scroll-area-viewport]::-webkit-scrollbar{display:none}</style><div data-radix-scroll-area-viewport="" class="fern-scroll-area-viewport" data-scrollbars="both" style="overflow-x:hidden;overflow-y:hidden"><div style="min-width:100%;display:table"><table class="fern-table"><thead><tr><th>Model ID</th><th>Description</th><th>Languages</th></tr></thead><tbody><tr><td><code>eleven_monolingual_v1</code></td><td>First generation TTS model (outclassed by v2 models)</td><td><code>en</code></td></tr><tr><td><code>eleven_multilingual_v1</code></td><td>First multilingual model (outclassed by v2 models)</td><td><code>en</code>, <code>fr</code>, <code>de</code>, <code>hi</code>, <code>it</code>, <code>pl</code>, <code>pt</code>, <code>es</code></td></tr><tr><td><code>eleven_turbo_v2_5</code></td><td>High quality, low-latency model (~250ms-300ms) (outclassed by Flash models)</td><td><code>en</code>, <code>ja</code>, <code>zh</code>, <code>de</code>, <code>hi</code>, <code>fr</code>, <code>ko</code>, <code>pt</code>, <code>it</code>, <code>es</code>, <code>id</code>, <code>nl</code>, <code>tr</code>, <code>fil</code>, <code>pl</code>, <code>sv</code>, <code>bg</code>, <code>ro</code>, <code>ar</code>, <code>cs</code>, <code>el</code>, <code>fi</code>, <code>hr</code>, <code>ms</code>, <code>sk</code>, <code>da</code>, <code>ta</code>, <code>uk</code>, <code>ru</code>, <code>hu</code>, <code>no</code>, <code>vi</code></td></tr><tr><td><code>eleven_turbo_v2</code></td><td>High quality, low-latency model (~250ms-300ms) (outclassed by Flash models)</td><td><code>en</code></td></tr></tbody></table></div></div></div></div></div></div></details></div> <h2 id="multilingual-v2" data-state="closed">Multilingual v2</h2> <p>Eleven Multilingual v2 is our most advanced, emotionally-aware speech synthesis model. It produces natural, lifelike speech with high emotional range and contextual understanding across multiple languages.</p> <p>The model delivers consistent voice quality and personality across all supported languages while maintaining the speaker’s unique characteristics and accent.</p> <p>This model excels in scenarios requiring high-quality, emotionally nuanced speech:</p> <ul class="[&>li]:before:text-(color:--grayscale-a10) mb-3 list-none pl-3 [&>li]:pl-3 [&>li]:before:absolute [&>li]:before:ml-[-22px] [&>li]:before:mt-[-1px] [&>li]:before:content-['-']"> <li class=""><strong class="font-semibold">Audiobook Production</strong>: Perfect for long-form narration with complex emotional delivery</li> <li class=""><strong class="font-semibold">Character Voiceovers</strong>: Ideal for gaming and animation due to its emotional range</li> <li class=""><strong class="font-semibold">Professional Content</strong>: Well-suited for corporate videos and e-learning materials</li> <li class=""><strong class="font-semibold">Multilingual Projects</strong>: Maintains consistent voice quality across language switches</li> </ul> <p>While it has a higher latency & cost per character than Flash models, it delivers superior quality for projects where lifelike speech is important.</p> <p>Our v2 models support 29 languages:</p> <p><em>English (USA, UK, Australia, Canada), Japanese, Chinese, German, Hindi, French (France, Canada), Korean, Portuguese (Brazil, Portugal), Italian, Spanish (Spain, Mexico), Indonesian, Dutch, Turkish, Filipino, Polish, Swedish, Bulgarian, Romanian, Arabic (Saudi Arabia, UAE), Czech, Greek, Finnish, Croatian, Malay, Slovak, Danish, Tamil, Ukrainian & Russian.</em></p> <h2 id="flash-v25" data-state="closed">Flash v2.5</h2> <p>Eleven Flash v2.5 is our fastest speech synthesis model, designed for real-time applications and conversational AI. It delivers high-quality speech with ultra-low latency (~75ms†) across 32 languages.</p> <p>The model balances speed and quality, making it ideal for interactive applications while maintaining natural-sounding output and consistent voice characteristics across languages.</p> <p>This model is particularly well-suited for:</p> <ul class="[&>li]:before:text-(color:--grayscale-a10) mb-3 list-none pl-3 [&>li]:pl-3 [&>li]:before:absolute [&>li]:before:ml-[-22px] [&>li]:before:mt-[-1px] [&>li]:before:content-['-']"> <li class=""><strong class="font-semibold">Conversational AI</strong>: Perfect for real-time voice agents and chatbots</li> <li class=""><strong class="font-semibold">Interactive Applications</strong>: Ideal for games and applications requiring immediate response</li> <li class=""><strong class="font-semibold">Large-Scale Processing</strong>: Efficient for bulk text-to-speech conversion</li> </ul> <p>With its lower price point and 75ms latency, Flash v2.5 is the cost-effective option for anyone needing fast, reliable speech synthesis across multiple languages.</p> <p>Flash v2.5 supports 32 languages - all languages from v2 models plus:</p> <p><em>Hungarian, Norwegian & Vietnamese</em></p> <h3 id="considerations" data-state="closed">Considerations</h3> <div class="fern-accordion fern-card m-mdx" data-orientation="vertical"><details data-state="closed" data-orientation="vertical" class="fern-accordion-item" id="text-normalization-with-numbers"><summary type="button" aria-controls="radix-«R5lnjrd5etbnatb»" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-«R1lnjrd5etbnatb»" class="fern-accordion-trigger" data-radix-collection-item=""><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-right fern-accordion-trigger-arrow"><path d="m9 18 6-6-6-6"></path></svg><h6 class="fern-accordion-trigger-title">Text normalization with numbers</h6></summary><div data-state="closed" id="radix-«R5lnjrd5etbnatb»" role="region" aria-labelledby="radix-«R1lnjrd5etbnatb»" data-orientation="vertical" class="fern-collapsible flex flex-col" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"><div class="px-5"><p>When using Flash v2.5, numbers aren’t normalized in a way you might expect. For example, phone numbers might be read out in way that isn’t clear for the user. Dates and currencies are affected in a similar manner.</p><p>This is expected as normalization is disabled for Flash v2.5 to maintain the low latency.</p><p>The Multilingual v2 model does a better job of normalizing numbers, so we recommend using it for phone numbers and other cases where number normalization is important.</p><p>For low-latency or Conversational AI applications, best practice is to have your LLM <a class="fern-mdx-link" href="/docs/best-practices/prompting/normalization">normalize the text</a> before passing it to the TTS model.</p></div></div></details></div> <h2 id="model-selection-guide" data-state="closed">Model selection guide</h2> <div class="fern-accordion fern-card m-mdx" data-orientation="vertical"><details data-state="closed" data-orientation="vertical" class="fern-accordion-item" id="requirements"><summary type="button" aria-controls="radix-«Rlpnjrd5etbnatb»" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-«R5pnjrd5etbnatb»" class="fern-accordion-trigger" data-radix-collection-item=""><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-right fern-accordion-trigger-arrow"><path d="m9 18 6-6-6-6"></path></svg><h6 class="fern-accordion-trigger-title">Requirements</h6></summary><div data-state="closed" id="radix-«Rlpnjrd5etbnatb»" role="region" aria-labelledby="radix-«R5pnjrd5etbnatb»" data-orientation="vertical" class="fern-collapsible flex flex-col" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"><div class="px-5"><div class="my-6 grid gap-4 first:mt-0 sm:gap-6 grid-cols-1"><div class="fern-card not-prose rounded-3 relative block border p-6 text-base"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Quality</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Use <code>eleven_multilingual_v2</code></p><p>Best for high-fidelity audio output with rich emotional expression</p></div></div></div></div><div class="fern-card not-prose rounded-3 relative block border p-6 text-base"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Low-latency</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Use Flash models</p><p>Optimized for real-time applications (~75ms latency)</p></div></div></div></div><div class="fern-card not-prose rounded-3 relative block border p-6 text-base"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Multilingual</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Use either either <code>eleven_multilingual_v2</code> or <code>eleven_flash_v2_5</code></p><p>Both support up to 32 languages</p></div></div></div></div></div></div></div></details><details data-state="closed" data-orientation="vertical" class="fern-accordion-item" id="use-case"><summary type="button" aria-controls="radix-«Rppnjrd5etbnatb»" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-«R9pnjrd5etbnatb»" class="fern-accordion-trigger" data-radix-collection-item=""><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-right fern-accordion-trigger-arrow"><path d="m9 18 6-6-6-6"></path></svg><h6 class="fern-accordion-trigger-title">Use case</h6></summary><div data-state="closed" id="radix-«Rppnjrd5etbnatb»" role="region" aria-labelledby="radix-«R9pnjrd5etbnatb»" data-orientation="vertical" class="fern-collapsible flex flex-col" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"><div class="px-5"><div class="my-6 grid gap-4 first:mt-0 sm:gap-6 grid-cols-1"><div class="fern-card not-prose rounded-3 relative block border p-6 text-base"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Content creation</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Use <code>eleven_multilingual_v2</code></p><p>Ideal for professional content, audiobooks & video narration.</p></div></div></div></div><div class="fern-card not-prose rounded-3 relative block border p-6 text-base"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Conversational AI</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Use <code>eleven_flash_v2_5</code>, <code>eleven_flash_v2</code> or <code>eleven_multilingual_v2</code></p><p>Perfect for real-time conversational applications</p></div></div></div></div><div class="fern-card not-prose rounded-3 relative block border p-6 text-base"><div class="jsx-2127281583 flex items-start flex-col space-y-3"><div class="jsx-2127281583 w-full space-y-1 overflow-hidden"><div class="jsx-2127281583 text-body text-base font-semibold">Voice changer</div><div class="jsx-2127281583 text-(color:--grayscale-a11)"><p>Use <code>eleven_multilingual_sts_v2</code></p><p>Specialized for Speech-to-Speech conversion</p></div></div></div></div></div></div></div></details></div> <h2 id="character-limits" data-state="closed">Character limits</h2> <p>The maximum number of characters supported in a single text-to-speech request varies by model.</p> <div class="fern-table-root not-prose" data-state="closed"><div dir="ltr" class="fern-scroll-area" style="position:relative;--radix-scroll-area-corner-width:0px;--radix-scroll-area-corner-height:0px"><style>[data-radix-scroll-area-viewport]{scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;}[data-radix-scroll-area-viewport]::-webkit-scrollbar{display:none}</style><div data-radix-scroll-area-viewport="" class="fern-scroll-area-viewport" data-scrollbars="both" style="overflow-x:hidden;overflow-y:hidden"><div style="min-width:100%;display:table"><table class="fern-table"><thead><tr><th>Model ID</th><th>Character limit</th><th>Approximate audio duration</th></tr></thead><tbody><tr><td><code>eleven_flash_v2_5</code></td><td>40,000</td><td>~40 minutes</td></tr><tr><td><code>eleven_flash_v2</code></td><td>30,000</td><td>~30 minutes</td></tr><tr><td><code>eleven_multilingual_v2</code></td><td>10,000</td><td>~10 minutes</td></tr><tr><td><code>eleven_multilingual_v1</code></td><td>10,000</td><td>~10 minutes</td></tr><tr><td><code>eleven_english_sts_v2</code></td><td>10,000</td><td>~10 minutes</td></tr><tr><td><code>eleven_english_sts_v1</code></td><td>10,000</td><td>~10 minutes</td></tr></tbody></table></div></div></div></div> <div data-intent="note" class="fern-callout"><div class="flex items-start space-x-4"><div class="[&_svg]:size-icon-md mt-0.5 w-4"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-pin"><path d="M12 17v5"></path><path d="M9 10.76a2 2 0 0 1-1.11 1.79l-1.78.9A2 2 0 0 0 5 15.24V16a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-.76a2 2 0 0 0-1.11-1.79l-1.78-.9A2 2 0 0 1 15 10.76V7a1 1 0 0 1 1-1 2 2 0 0 0 0-4H8a2 2 0 0 0 0 4 1 1 0 0 1 1 1z"></path></svg></div><div class="-my-4 flex-1 overflow-x-auto text-sm before:mb-4 before:block after:mt-4 after:block"><h5 class="leading-snug"></h5>For longer content, consider splitting the input into multiple requests.</div></div></div> <h2 id="scribe-v1" data-state="closed">Scribe v1</h2> <p>Scribe v1 is our state-of-the-art speech recognition model designed for accurate transcription across 99 languages. It provides precise word-level timestamps and advanced features like speaker diarization and dynamic audio tagging.</p> <p>This model excels in scenarios requiring accurate speech-to-text conversion:</p> <ul class="[&>li]:before:text-(color:--grayscale-a10) mb-3 list-none pl-3 [&>li]:pl-3 [&>li]:before:absolute [&>li]:before:ml-[-22px] [&>li]:before:mt-[-1px] [&>li]:before:content-['-']"> <li class=""><strong class="font-semibold">Transcription Services</strong>: Perfect for converting audio/video content to text</li> <li class=""><strong class="font-semibold">Meeting Documentation</strong>: Ideal for capturing and documenting conversations</li> <li class=""><strong class="font-semibold">Content Analysis</strong>: Well-suited for audio content processing and analysis</li> <li class=""><strong class="font-semibold">Multilingual Recognition</strong>: Supports accurate transcription across 99 languages</li> </ul> <p>Key features:</p> <ul class="[&>li]:before:text-(color:--grayscale-a10) mb-3 list-none pl-3 [&>li]:pl-3 [&>li]:before:absolute [&>li]:before:ml-[-22px] [&>li]:before:mt-[-1px] [&>li]:before:content-['-']"> <li class="">Accurate transcription with word-level timestamps</li> <li class="">Speaker diarization for multi-speaker audio</li> <li class="">Dynamic audio tagging for enhanced context</li> <li class="">Support for 99 languages</li> </ul> <p>Read more about Scribe v1 <a class="fern-mdx-link" href="/docs/capabilities/speech-to-text">here</a>.</p> <h2 id="concurrency-and-priority" data-state="closed">Concurrency and priority</h2> <p>Your subscription plan determines how many requests can be processed simultaneously and the priority level of your requests in the queue. Speech to Text has an elevated concurrency limit. Once the concurrency limit is met, subsequent requests are processed in a queue alongside lower-priority requests. In practice this typically only adds ~50ms of latency.</p> <div class="fern-table-root not-prose" data-state="closed"><div dir="ltr" class="fern-scroll-area" style="position:relative;--radix-scroll-area-corner-width:0px;--radix-scroll-area-corner-height:0px"><style>[data-radix-scroll-area-viewport]{scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;}[data-radix-scroll-area-viewport]::-webkit-scrollbar{display:none}</style><div data-radix-scroll-area-viewport="" class="fern-scroll-area-viewport" data-scrollbars="both" style="overflow-x:hidden;overflow-y:hidden"><div style="min-width:100%;display:table"><table class="fern-table"><thead><tr><th>Plan</th><th>Concurrency Limit</th><th>STT Concurrency Limit</th><th>Priority level</th></tr></thead><tbody><tr><td>Free</td><td>4</td><td>8</td><td>3</td></tr><tr><td>Starter</td><td>6</td><td>12</td><td>4</td></tr><tr><td>Creator</td><td>10</td><td>20</td><td>5</td></tr><tr><td>Pro</td><td>20</td><td>40</td><td>5</td></tr><tr><td>Scale</td><td>30</td><td>60</td><td>5</td></tr><tr><td>Business</td><td>30</td><td>60</td><td>5</td></tr><tr><td>Enterprise</td><td>Elevated</td><td>Elevated</td><td>Highest</td></tr></tbody></table></div></div></div></div> <div data-intent="note" class="fern-callout"><div class="flex items-start space-x-4"><div class="[&_svg]:size-icon-md mt-0.5 w-4"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-pin"><path d="M12 17v5"></path><path d="M9 10.76a2 2 0 0 1-1.11 1.79l-1.78.9A2 2 0 0 0 5 15.24V16a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-.76a2 2 0 0 0-1.11-1.79l-1.78-.9A2 2 0 0 1 15 10.76V7a1 1 0 0 1 1-1 2 2 0 0 0 0-4H8a2 2 0 0 0 0 4 1 1 0 0 1 1 1z"></path></svg></div><div class="-my-4 flex-1 overflow-x-auto text-sm before:mb-4 before:block after:mt-4 after:block"><h5 class="leading-snug"></h5><p>To increase your concurrency limit & queue priority, <a class="fern-mdx-link" href="https://elevenlabs.io/pricing/api">upgrade your subscription plan</a>.</p><p>Enterprise customers can request a higher concurrency limit by contacting their account manager.</p></div></div></div> <p>The response headers include <code>current-concurrent-requests</code> and <code>maximum-concurrent-requests</code> which you can use to monitor your concurrency.</p></div><footer class="fern-layout-footer not-prose"><div class="fern-layout-footer-toolbar"><div><div><div class="flex flex-wrap items-center justify-start gap-4"><span class="text-(color:--grayscale-a11) text-sm font-medium">Was this page helpful?</span><div class="flex gap-2"><button class="focus-visible:ring-(color:--accent) rounded-2 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Models\ndescription: Learn about the models that power the ElevenLabs API.\n---\n\n## Flagship models\n\n\u003cCardGroup cols={2} rows={2}\u003e\n \u003cCard title=\"Eleven Multilingual v2\" href=\"/docs/models#multilingual-v2\"\u003e\n Our most lifelike, emotionally rich speech synthesis model\n \u003cdiv className=\"mt-4 space-y-2\"\u003e\n \u003cdiv className=\"text-sm\"\u003eMost natural-sounding output\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003e29 languages supported\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003e10,000 character limit\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003eRich emotional expression\u003c/div\u003e\n \u003c/div\u003e\n \u003c/Card\u003e\n \u003cCard title=\"Eleven Flash v2.5\" href=\"/docs/models#flash-v25\"\u003e\n Our fast, affordable speech synthesis model\n \u003cdiv className=\"mt-4 space-y-2\"\u003e\n \u003cdiv className=\"text-sm\"\u003eUltra-low latency (~75ms\u0026dagger;)\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003e32 languages supported\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003e40,000 character limit\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003eFaster model, 50% lower price per character\u003c/div\u003e\n \u003c/div\u003e\n \u003c/Card\u003e\n\u003c/CardGroup\u003e\n\n\u003cCardGroup cols={1} rows={1}\u003e\n \u003cCard title=\"Scribe v1\" href=\"/docs/models#scribe-v1\"\u003e\n State-of-the-art speech recognition model\n \u003cdiv className=\"mt-4 space-y-2\"\u003e\n \u003cdiv className=\"text-sm\"\u003eAccurate transcription in 99 languages\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003ePrecise word-level timestamps\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003eSpeaker diarization\u003c/div\u003e\n \u003cdiv className=\"text-sm\"\u003eDynamic audio tagging\u003c/div\u003e\n \u003c/div\u003e\n \u003c/Card\u003e\n\u003c/CardGroup\u003e\n\n\u003cdiv className=\"text-center\"\u003e\n \u003cdiv\u003e[Pricing](https://elevenlabs.io/pricing/api)\u003c/div\u003e\n\u003c/div\u003e\n\n## Models overview\n\nThe ElevenLabs API offers a range of audio models optimized for different use cases, quality levels, and performance requirements.\n\n| Model ID | Description | Languages |\n| ---------------------------- | -------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `eleven_multilingual_v2` | Our most lifelike model with rich emotional expression | `en`, `ja`, `zh`, `de`, `hi`, `fr`, `ko`, `pt`, `it`, `es`, `id`, `nl`, `tr`, `fil`, `pl`, `sv`, `bg`, `ro`, `ar`, `cs`, `el`, `fi`, `hr`, `ms`, `sk`, `da`, `ta`, `uk`, `ru` |\n| `eleven_flash_v2_5` | Ultra-fast model optimized for real-time use (~75ms\u0026dagger;) | All `eleven_multilingual_v2` languages plus: `hu`, `no`, `vi` |\n| `eleven_flash_v2` | Ultra-fast model optimized for real-time use (~75ms\u0026dagger;) | `en` |\n| `eleven_multilingual_sts_v2` | State-of-the-art multilingual voice changer model (Speech to Speech) | `en`, `ja`, `zh`, `de`, `hi`, `fr`, `ko`, `pt`, `it`, `es`, `id`, `nl`, `tr`, `fil`, `pl`, `sv`, `bg`, `ro`, `ar`, `cs`, `el`, `fi`, `hr`, `ms`, `sk`, `da`, `ta`, `uk`, `ru` |\n| `eleven_english_sts_v2` | English-only voice changer model (Speech to Speech) | `en` |\n| `scribe_v1` | State-of-the-art speech recognition model | [99 languages](/docs/capabilities/speech-to-text#supported-languages) |\n\n\u003csmall\u003e† Excluding application \u0026 network latency\u003c/small\u003e\n\n\u003cAccordion title=\"Older Models\"\u003e\n\n\u003cWarning\u003e\n\nThese models are maintained for backward compatibility but are not recommended for new projects.\n\n\u003c/Warning\u003e\n\n| Model ID | Description | Languages |\n| ------------------------ | --------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `eleven_monolingual_v1` | First generation TTS model (outclassed by v2 models) | `en` |\n| `eleven_multilingual_v1` | First multilingual model (outclassed by v2 models) | `en`, `fr`, `de`, `hi`, `it`, `pl`, `pt`, `es` |\n| `eleven_turbo_v2_5` | High quality, low-latency model (~250ms-300ms) (outclassed by Flash models) | `en`, `ja`, `zh`, `de`, `hi`, `fr`, `ko`, `pt`, `it`, `es`, `id`, `nl`, `tr`, `fil`, `pl`, `sv`, `bg`, `ro`, `ar`, `cs`, `el`, `fi`, `hr`, `ms`, `sk`, `da`, `ta`, `uk`, `ru`, `hu`, `no`, `vi` |\n| `eleven_turbo_v2` | High quality, low-latency model (~250ms-300ms) (outclassed by Flash models) | `en` |\n\n\u003c/Accordion\u003e\n\n## Multilingual v2\n\nEleven Multilingual v2 is our most advanced, emotionally-aware speech synthesis model. It produces natural, lifelike speech with high emotional range and contextual understanding across multiple languages.\n\nThe model delivers consistent voice quality and personality across all supported languages while maintaining the speaker's unique characteristics and accent.\n\nThis model excels in scenarios requiring high-quality, emotionally nuanced speech:\n\n- **Audiobook Production**: Perfect for long-form narration with complex emotional delivery\n- **Character Voiceovers**: Ideal for gaming and animation due to its emotional range\n- **Professional Content**: Well-suited for corporate videos and e-learning materials\n- **Multilingual Projects**: Maintains consistent voice quality across language switches\n\nWhile it has a higher latency \u0026 cost per character than Flash models, it delivers superior quality for projects where lifelike speech is important.\n\nOur v2 models support 29 languages:\n\n_English (USA, UK, Australia, Canada), Japanese, Chinese, German, Hindi, French (France, Canada), Korean, Portuguese (Brazil, Portugal), Italian, Spanish (Spain, Mexico), Indonesian, Dutch, Turkish, Filipino, Polish, Swedish, Bulgarian, Romanian, Arabic (Saudi Arabia, UAE), Czech, Greek, Finnish, Croatian, Malay, Slovak, Danish, Tamil, Ukrainian \u0026 Russian._\n\n\n## Flash v2.5\n\nEleven Flash v2.5 is our fastest speech synthesis model, designed for real-time applications and conversational AI. It delivers high-quality speech with ultra-low latency (~75ms\u0026dagger;) across 32 languages.\n\nThe model balances speed and quality, making it ideal for interactive applications while maintaining natural-sounding output and consistent voice characteristics across languages.\n\nThis model is particularly well-suited for:\n\n- **Conversational AI**: Perfect for real-time voice agents and chatbots\n- **Interactive Applications**: Ideal for games and applications requiring immediate response\n- **Large-Scale Processing**: Efficient for bulk text-to-speech conversion\n\nWith its lower price point and 75ms latency, Flash v2.5 is the cost-effective option for anyone needing fast, reliable speech synthesis across multiple languages.\n\nFlash v2.5 supports 32 languages - all languages from v2 models plus:\n\n_Hungarian, Norwegian \u0026 Vietnamese_\n\n\n### Considerations\n\n\u003cAccordionGroup\u003e\n \u003cAccordion title=\"Text normalization with numbers\"\u003e\n When using Flash v2.5, numbers aren't normalized in a way you might expect. For example, phone numbers might be read out in way that isn't clear for the user. Dates and currencies are affected in a similar manner.\n\n This is expected as normalization is disabled for Flash v2.5 to maintain the low latency.\n\n The Multilingual v2 model does a better job of normalizing numbers, so we recommend using it for phone numbers and other cases where number normalization is important.\n\n For low-latency or Conversational AI applications, best practice is to have your LLM [normalize the text](/docs/best-practices/prompting/normalization) before passing it to the TTS model.\n\n \u003c/Accordion\u003e\n\u003c/AccordionGroup\u003e\n\n## Model selection guide\n\n\u003cAccordionGroup\u003e\n \u003cAccordion title=\"Requirements\"\u003e\n \u003cCardGroup cols={1}\u003e\n \u003cCard title=\"Quality\"\u003e\n Use `eleven_multilingual_v2`\n\n Best for high-fidelity audio output with rich emotional expression\n \u003c/Card\u003e\n \u003cCard title=\"Low-latency\"\u003e\n Use Flash models\n\n Optimized for real-time applications (~75ms latency)\n \u003c/Card\u003e\n \u003cCard title=\"Multilingual\"\u003e\n Use either either `eleven_multilingual_v2` or `eleven_flash_v2_5`\n\n Both support up to 32 languages\n \u003c/Card\u003e\n \u003c/CardGroup\u003e\n\n \u003c/Accordion\u003e\n\n \u003cAccordion title=\"Use case\"\u003e\n \u003cCardGroup cols={1}\u003e\n \u003cCard title=\"Content creation\"\u003e\n Use `eleven_multilingual_v2`\n\n Ideal for professional content, audiobooks \u0026 video narration.\n \u003c/Card\u003e\n\n \u003cCard title=\"Conversational AI\"\u003e\n Use `eleven_flash_v2_5`, `eleven_flash_v2` or `eleven_multilingual_v2`\n\n Perfect for real-time conversational applications\n \u003c/Card\u003e\n\n \u003cCard title=\"Voice changer\"\u003e\n Use `eleven_multilingual_sts_v2`\n\n Specialized for Speech-to-Speech conversion\n \u003c/Card\u003e\n \u003c/CardGroup\u003e\n\n \u003c/Accordion\u003e\n\u003c/AccordionGroup\u003e\n\n## Character limits\n\nThe maximum number of characters supported in a single text-to-speech request varies by model.\n\n| Model ID | Character limit | Approximate audio duration |\n| ------------------------ | --------------- | -------------------------- |\n| `eleven_flash_v2_5` | 40,000 | ~40 minutes |\n| `eleven_flash_v2` | 30,000 | ~30 minutes |\n| `eleven_multilingual_v2` | 10,000 | ~10 minutes |\n| `eleven_multilingual_v1` | 10,000 | ~10 minutes |\n| `eleven_english_sts_v2` | 10,000 | ~10 minutes |\n| `eleven_english_sts_v1` | 10,000 | ~10 minutes |\n\n\u003cNote\u003eFor longer content, consider splitting the input into multiple requests.\u003c/Note\u003e\n\n## Scribe v1\n\nScribe v1 is our state-of-the-art speech recognition model designed for accurate transcription across 99 languages. It provides precise word-level timestamps and advanced features like speaker diarization and dynamic audio tagging.\n\nThis model excels in scenarios requiring accurate speech-to-text conversion:\n\n- **Transcription Services**: Perfect for converting audio/video content to text\n- **Meeting Documentation**: Ideal for capturing and documenting conversations\n- **Content Analysis**: Well-suited for audio content processing and analysis\n- **Multilingual Recognition**: Supports accurate transcription across 99 languages\n\nKey features:\n\n- Accurate transcription with word-level timestamps\n- Speaker diarization for multi-speaker audio\n- Dynamic audio tagging for enhanced context\n- Support for 99 languages\n\nRead more about Scribe v1 [here](/docs/capabilities/speech-to-text).\n\n## Concurrency and priority\n\nYour subscription plan determines how many requests can be processed simultaneously and the priority level of your requests in the queue.\nSpeech to Text has an elevated concurrency limit.\nOnce the concurrency limit is met, subsequent requests are processed in a queue alongside lower-priority requests.\nIn practice this typically only adds ~50ms of latency.\n\n| Plan | Concurrency Limit | STT Concurrency Limit | Priority level |\n| ---------- | ----------------- | --------------------- | -------------- |\n| Free | 4 | 8 | 3 |\n| Starter | 6 | 12 | 4 |\n| Creator | 10 | 20 | 5 |\n| Pro | 20 | 40 | 5 |\n| Scale | 30 | 60 | 5 |\n| Business | 30 | 60 | 5 |\n| Enterprise | Elevated | Elevated | Highest |\n\n\u003cNote\u003e\n To increase your concurrency limit \u0026 queue priority, [upgrade your subscription\n plan](https://elevenlabs.io/pricing/api).\n\nEnterprise customers can request a higher concurrency limit by contacting their account manager.\n\n\u003c/Note\u003e\n\nThe response headers include `current-concurrent-requests` and `maximum-concurrent-requests` which you can use to monitor your concurrency.\n"])</script><script>self.__next_f.push([1,"9a:T614a,"])</script><script>self.__next_f.push([1,"var Component=(()=\u003e{var y=Object.create;var h=Object.defineProperty;var b=Object.getOwnPropertyDescriptor;var _=Object.getOwnPropertyNames;var x=Object.getPrototypeOf,S=Object.prototype.hasOwnProperty;var w=(r,i)=\u003e()=\u003e(i||r((i={exports:{}}).exports,i),i.exports),F=(r,i)=\u003e{for(var d in i)h(r,d,{get:i[d],enumerable:!0})},m=(r,i,d,c)=\u003e{if(i\u0026\u0026typeof i==\"object\"||typeof i==\"function\")for(let l of _(i))!S.call(r,l)\u0026\u0026l!==d\u0026\u0026h(r,l,{get:()=\u003ei[l],enumerable:!(c=b(i,l))||c.enumerable});return r};var C=(r,i,d)=\u003e(d=r!=null?y(x(r)):{},m(i||!r||!r.__esModule?h(d,\"default\",{value:r,enumerable:!0}):d,r)),k=r=\u003em(h({},\"__esModule\",{value:!0}),r);var g=w((z,p)=\u003e{p.exports=_jsx_runtime});var T={};F(T,{default:()=\u003ef,frontmatter:()=\u003eq,toc:()=\u003eM});var e=C(g());var{useMDXComponents:s}=MdxJsReact;var 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\",(0,e.jsx)(i.code,{children:\"es\"})]})]}),(0,e.jsxs)(i.tr,{children:[(0,e.jsx)(i.td,{children:(0,e.jsx)(i.code,{children:\"eleven_turbo_v2_5\"})}),(0,e.jsx)(i.td,{children:\"High quality, low-latency model (~250ms-300ms) (outclassed by Flash models)\"}),(0,e.jsxs)(i.td,{children:[(0,e.jsx)(i.code,{children:\"en\"}),\", \",(0,e.jsx)(i.code,{children:\"ja\"}),\", \",(0,e.jsx)(i.code,{children:\"zh\"}),\", \",(0,e.jsx)(i.code,{children:\"de\"}),\", \",(0,e.jsx)(i.code,{children:\"hi\"}),\", \",(0,e.jsx)(i.code,{children:\"fr\"}),\", \",(0,e.jsx)(i.code,{children:\"ko\"}),\", \",(0,e.jsx)(i.code,{children:\"pt\"}),\", \",(0,e.jsx)(i.code,{children:\"it\"}),\", \",(0,e.jsx)(i.code,{children:\"es\"}),\", \",(0,e.jsx)(i.code,{children:\"id\"}),\", \",(0,e.jsx)(i.code,{children:\"nl\"}),\", \",(0,e.jsx)(i.code,{children:\"tr\"}),\", \",(0,e.jsx)(i.code,{children:\"fil\"}),\", \",(0,e.jsx)(i.code,{children:\"pl\"}),\", \",(0,e.jsx)(i.code,{children:\"sv\"}),\", 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It produces natural, lifelike speech with high emotional range and contextual understanding across multiple languages.\"}),`\n`,(0,e.jsx)(i.p,{children:\"The model delivers consistent voice quality and personality across all supported languages while maintaining the speaker\\u2019s unique characteristics and accent.\"}),`\n`,(0,e.jsx)(i.p,{children:\"This model excels in scenarios requiring high-quality, emotionally nuanced speech:\"}),`\n`,(0,e.jsxs)(i.ul,{children:[`\n`,(0,e.jsxs)(i.li,{children:[(0,e.jsx)(i.strong,{children:\"Audiobook Production\"}),\": Perfect for long-form narration with complex emotional delivery\"]}),`\n`,(0,e.jsxs)(i.li,{children:[(0,e.jsx)(i.strong,{children:\"Character Voiceovers\"}),\": Ideal for gaming and animation due to its emotional range\"]}),`\n`,(0,e.jsxs)(i.li,{children:[(0,e.jsx)(i.strong,{children:\"Professional Content\"}),\": Well-suited for corporate videos and e-learning materials\"]}),`\n`,(0,e.jsxs)(i.li,{children:[(0,e.jsx)(i.strong,{children:\"Multilingual Projects\"}),\": Maintains consistent voice quality across language switches\"]}),`\n`]}),`\n`,(0,e.jsx)(i.p,{children:\"While it has a higher latency \u0026 cost per character than Flash models, it delivers superior quality for projects where lifelike speech is important.\"}),`\n`,(0,e.jsx)(i.p,{children:\"Our v2 models support 29 languages:\"}),`\n`,(0,e.jsx)(i.p,{children:(0,e.jsx)(i.em,{children:\"English (USA, UK, Australia, Canada), Japanese, Chinese, German, Hindi, French (France, Canada), Korean, Portuguese (Brazil, Portugal), Italian, Spanish (Spain, Mexico), Indonesian, Dutch, Turkish, Filipino, Polish, Swedish, Bulgarian, Romanian, Arabic (Saudi Arabia, UAE), Czech, Greek, Finnish, Croatian, Malay, Slovak, Danish, Tamil, Ukrainian \u0026 Russian.\"})}),`\n`,(0,e.jsx)(i.h2,{id:\"flash-v25\",children:\"Flash v2.5\"}),`\n`,(0,e.jsx)(i.p,{children:\"Eleven Flash v2.5 is our fastest speech synthesis model, designed for real-time applications and conversational AI. It delivers high-quality speech with ultra-low latency (~75ms\\u2020) across 32 languages.\"}),`\n`,(0,e.jsx)(i.p,{children:\"The model balances speed and quality, making it ideal for interactive applications while maintaining natural-sounding output and consistent voice characteristics across languages.\"}),`\n`,(0,e.jsx)(i.p,{children:\"This model is particularly well-suited for:\"}),`\n`,(0,e.jsxs)(i.ul,{children:[`\n`,(0,e.jsxs)(i.li,{children:[(0,e.jsx)(i.strong,{children:\"Conversational AI\"}),\": Perfect for real-time voice agents and chatbots\"]}),`\n`,(0,e.jsxs)(i.li,{children:[(0,e.jsx)(i.strong,{children:\"Interactive Applications\"}),\": Ideal for games and applications requiring immediate response\"]}),`\n`,(0,e.jsxs)(i.li,{children:[(0,e.jsx)(i.strong,{children:\"Large-Scale Processing\"}),\": Efficient for bulk text-to-speech conversion\"]}),`\n`]}),`\n`,(0,e.jsx)(i.p,{children:\"With its lower price point and 75ms latency, Flash v2.5 is the cost-effective option for anyone needing fast, reliable speech synthesis across multiple languages.\"}),`\n`,(0,e.jsx)(i.p,{children:\"Flash v2.5 supports 32 languages - all languages from v2 models plus:\"}),`\n`,(0,e.jsx)(i.p,{children:(0,e.jsx)(i.em,{children:\"Hungarian, Norwegian \u0026 Vietnamese\"})}),`\n`,(0,e.jsx)(i.h3,{id:\"considerations\",children:\"Considerations\"}),`\n`,(0,e.jsx)(n,{children:(0,e.jsx)(c,{children:(0,e.jsx)(n,{children:(0,e.jsxs)(d,{title:\"Text normalization with numbers\",id:\"text-normalization-with-numbers\",nestedHeaders:[],children:[(0,e.jsx)(i.p,{children:\"When using Flash v2.5, numbers aren\\u2019t normalized in a way you might expect. For example, phone numbers might be read out in way that isn\\u2019t clear for the user. 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