Аудио
Kokoro-FastAPI
Turn the beloved Kokoro voice model into an OpenAI-compatible speech API with one Docker command.
★ 5,5 тыс. звёздApache-2.0
Смотреть руководство →kokoro-tts — проект с открытым исходным кодом из категории «Аудио» от nazdridoy (nazdridoy/kokoro-tts на GitHub). У него 1 909 звёзд на GitHub и 178 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 22 августа 2026.
Turn books and documents into natural speech with the Kokoro TTS model.
Pass in plain text, or point it straight at an EPUB or PDF file.
Pick from multiple voices and blend them to taste.
Generate speech in any of the model's supported languages.
Export audio files you can play anywhere.
Reads whole books and documents without manual copy-paste.
Mixes multiple voices to create new combinations.
Supports several languages for genuinely global reading.
Scriptable from the terminal for batch audiobook creation.
Great fit for turning written content into listenable audio.
Use it freely in personal and commercial projects.
Download the source and move into the project folder.
git clone https://github.com/nazdridoy/kokoro-tts.git
cd kokoro-ttsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at nazdridoy/kokoro-tts with 178 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
Yes, it is built with EPUB books and PDF documents in mind, so long-form input is a core use case.
Yes — voice blending is a headline feature, letting you combine voices into new ones.
Kokoro supports multiple languages; check the model's documentation for the current list.
Turn the beloved Kokoro voice model into an OpenAI-compatible speech API with one Docker command.
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
Voice cloning inside Kokoro: natural multilingual speech, your voice.
MOSS-TTS-Nano: a 0.1B open multilingual speech model that clones voices and streams in real time on CPU
MARS5 speech model from CAMB.AI — clone a voice from 5 seconds of audio with striking prosody
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если kokoro-tts вам не подходит.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к kokoro-tts — продолжайте изучать полку по обе стороны от него.
Fast local speech-to-text across 16+ model families, powered by ggml.
Obs-localvocal — obs plugin for local speech recognition and captioning, open-source.
WaveRNN vocoder plus Tacotron TTS in PyTorch: train your own neural speech synthesis on LJSpeech.
Instant, ultra-realistic text-to-speech from a simple local app.
ToucanTTS: fast, controllable text-to-speech for over 7,000 languages, from Stuttgart's IMS.
Open-source AI dictation that types 3x faster, fully offline.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.