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Text to Speech Model

Kokoro 82M

Kokoro 82M is an open-source text-to-speech model from Hexgrad supporting multiple languages with selectable voices.

PublisherHexgrad
TypeText to Speech
Context Window10,000 tokens
ReleasedJanuary 2025
Input$0.62/MTok
OutputFree/MTok
ProviderDeepInfra
OPEN SOURCELOW COSTMULTILINGUAL

Open-source multilingual text-to-speech synthesis

Kokoro 82M is a text-to-speech model developed by Hexgrad and released in January 2025. It has 82 million parameters and is designed to convert text into natural-sounding speech, with support for multiple languages and a context window of 10,000 tokens. The model is open-source and available through providers including DeepInfra.

Kokoro 82M is suited for applications that require multilingual voice synthesis without the overhead of much larger models. It offers selectable voice options, making it adaptable for use cases such as content narration, accessibility tooling, and voice interface prototyping. Its open-source nature and low-cost availability make it accessible for developers building speech-enabled applications.

What Kokoro 82M supports

Text to Speech

Converts input text into synthesized audio speech. Supports a context window of up to 10,000 tokens per request.

Multilingual Support

Generates speech across multiple languages from a single model. Enables voice synthesis for international or multilingual applications.

Voice Selection

Allows users to choose from multiple available voice options via a select input. Provides control over speaker identity for different use cases.

Open-Source Model

The model weights are publicly available under an open-source license on Hugging Face. Developers can inspect, download, or self-host the model.

Low-Cost Inference

Tagged as a low-cost model, making it suitable for high-volume or budget-conscious speech synthesis workloads.

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Common questions about Kokoro 82M

What is the context window for Kokoro 82M?

Kokoro 82M supports a context window of 10,000 tokens per request.

How much does it cost to use Kokoro 82M?

Kokoro 82M is tagged as a low-cost model. Specific per-character or per-request pricing is determined by the provider, DeepInfra. Check DeepInfra's pricing page for current rates.

Is Kokoro 82M open source?

Yes, Kokoro 82M is open source. The model weights are publicly available on Hugging Face under the hexgrad/Kokoro-82M repository.

What languages does Kokoro 82M support?

Kokoro 82M is tagged as multilingual, meaning it supports speech synthesis in more than one language. Refer to the Hugging Face model card for the specific list of supported languages.

Can I choose different voices with Kokoro 82M?

Yes, the model exposes a voice selection input, allowing you to pick from available speaker voices when making a request.

When was Kokoro 82M released?

Kokoro 82M was released in January 2025 by Hexgrad.

Parameters & options

VoiceSelect

Voice to use in TTS. The prefix encodes language and gender.

Default: af_bella
American Female — AlloyAmerican Female — AoedeAmerican Female — BellaAmerican Female — HeartAmerican Female — JessicaAmerican Female — KoreAmerican Female — NicoleAmerican Female — NovaAmerican Female — RiverAmerican Female — SarahAmerican Female — SkyAmerican Male — AdamAmerican Male — EchoAmerican Male — EricAmerican Male — FenrirAmerican Male — LiamAmerican Male — MichaelAmerican Male — OnyxAmerican Male — PuckAmerican Male — SantaBritish Female — AliceBritish Female — EmmaBritish Female — IsabellaBritish Female — LilyBritish Male — DanielBritish Male — FableBritish Male — GeorgeBritish Male — LewisSpanish Female — DoraSpanish Male — AlexSpanish Male — SantaFrench Female — SiwisHindi Female — AlphaHindi Female — BetaHindi Male — OmegaHindi Male — PsiItalian Female — SaraItalian Male — NicolaJapanese Female — AlphaJapanese Female — GongitsuneJapanese Female — NezumiJapanese Female — TebukuroJapanese Male — KumoPortuguese Female — DoraPortuguese Male — AlexPortuguese Male — SantaChinese Female — XiaobeiChinese Female — XiaoniChinese Female — XiaoxiaoChinese Female — XiaoyiChinese Male — YunjianChinese Male — YunxiChinese Male — YunxiaChinese Male — Yunyang

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