**Kokoro** is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects.

🐈 **GitHub**: https://github.com/hexgrad/kokoro 🚀 **Demo**: https://hf.co/spaces/hexgrad/Kokoro-TTS > [!NOTE] > As of April 2025, the market rate of Kokoro served over API is **under $1 per million characters of text input**, or under $0.06 per hour of audio output. (On average, 1000 characters of input is about 1 minute of output.) Sources: [ArtificialAnalysis/Replicate at 65 cents per M chars](https://artificialanalysis.ai/text-to-speech/model-family/kokoro#price) and [DeepInfra at 80 cents per M chars](https://deepinfra.com/hexgrad/Kokoro-82M). > > This is an Apache-licensed model, and Kokoro has been deployed in numerous projects and commercial APIs. We welcome the deployment of the model in real use cases. > [!CAUTION] > Fake websites like kokorottsai_com (snapshot: https://archive.ph/nRRnk) and kokorotts_net (snapshot: https://archive.ph/60opa) are likely scams masquerading under the banner of a popular model. > > Any website containing "kokoro" in its root domain (e.g. kokorottsai_com, kokorotts_net) is **NOT owned by and NOT affiliated with this model page or its author**, and attempts to imply otherwise are red flags. - [Releases](#releases) - [Usage](#usage) - [EVAL.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/EVAL.md) ↗️ - [SAMPLES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md) ↗️ - [VOICES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md) ↗️ - [Model Facts](#model-facts) - [Training Details](#training-details) - [Creative Commons Attribution](#creative-commons-attribution) - [Acknowledgements](#acknowledgements) ### Releases | Model | Published | Training Data | Langs & Voices | SHA256 | | ----- | --------- | ------------- | -------------- | ------ | | **v1.0** | **2025 Jan 27** | **Few hundred hrs** | [**8 & 54**](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md) | `496dba11` | | [v0.19](https://huggingface.co/hexgrad/kLegacy/tree/main/v0.19) | 2024 Dec 25 | <100 hrs | 1 & 10 | `3b0c392f` | | Training Costs | v0.19 | v1.0 | **Total** | | -------------- | ----- | ---- | ----- | | in A100 80GB GPU hours | 500 | 500 | **1000** | | average hourly rate | $0.80/h | $1.20/h | **$1/h** | | in USD | $400 | $600 | **$1000** | ### Usage You can run this basic cell on [Google Colab](https://colab.research.google.com/). [Listen to samples](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md). For more languages and details, see [Advanced Usage](https://github.com/hexgrad/kokoro?tab=readme-ov-file#advanced-usage). ```py !pip install -q kokoro>=0.9.2 soundfile !apt-get -qq -y install espeak-ng > /dev/null 2>&1 from kokoro import KPipeline from IPython.display import display, Audio import soundfile as sf import torch pipeline = KPipeline(lang_code='a') text = ''' [Kokoro](/kˈOkəɹO/) is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, [Kokoro](/kˈOkəɹO/) can be deployed anywhere from production environments to personal projects. ''' generator = pipeline(text, voice='af_heart') for i, (gs, ps, audio) in enumerate(generator): print(i, gs, ps) display(Audio(data=audio, rate=24000, autoplay=i==0)) sf.write(f'{i}.wav', audio, 24000) ``` Under the hood, `kokoro` uses [`misaki`](https://pypi.org/project/misaki/), a G2P library at https://github.com/hexgrad/misaki ### Model Facts **Architecture:** - StyleTTS 2: https://arxiv.org/abs/2306.07691 - ISTFTNet: https://arxiv.org/abs/2203.02395 - Decoder only: no diffusion, no encoder release **Architected by:** Li et al @ https://github.com/yl4579/StyleTTS2 **Trained by**: `@rzvzn` on Discord **Languages:** Multiple **Model SHA256 Hash:** `496dba118d1a58f5f3db2efc88dbdc216e0483fc89fe6e47ee1f2c53f18ad1e4` ### Training Details **Data:** Kokoro was trained exclusively on **permissive/non-copyrighted audio data** and IPA phoneme labels. Examples of permissive/non-copyrighted audio include: - Public domain audio - Audio licensed under Apache, MIT, etc - Synthetic audio^[1] generated by closed^[2] TTS models from large providers
[1] https://copyright.gov/ai/ai_policy_guidance.pdf
[2] No synthetic audio from open TTS models or "custom voice clones" **Total Dataset Size:** A few hundred hours of audio **Total Training Cost:** About $1000 for 1000 hours of A100 80GB vRAM ### Creative Commons Attribution The following CC BY audio was part of the dataset used to train Kokoro v1.0. | Audio Data | Duration Used | License | Added to Training Set After | | ---------- | ------------- | ------- | --------------------------- | | [Koniwa](https://github.com/koniwa/koniwa) `tnc` | <1h | [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/deed.ja) | v0.19 / 22 Nov 2024 | | [SIWIS](https://datashare.ed.ac.uk/handle/10283/2353) | <11h | [CC BY 4.0](https://datashare.ed.ac.uk/bitstream/handle/10283/2353/license_text) | v0.19 / 22 Nov 2024 | ### Acknowledgements - 🛠️ [@yl4579](https://huggingface.co/yl4579) for architecting StyleTTS 2. - 🏆 [@Pendrokar](https://huggingface.co/Pendrokar) for adding Kokoro as a contender in the TTS Spaces Arena. - 📊 Thank you to everyone who contributed synthetic training data. - ❤️ Special thanks to all compute sponsors. - 👾 Discord server: https://discord.gg/QuGxSWBfQy - 🪽 Kokoro is a Japanese word that translates to "heart" or "spirit". It is also the name of an [AI in the Terminator franchise](https://terminator.fandom.com/wiki/Kokoro). kokoro

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