anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
New
Overview
Generates expressive, multilingual audio from text using large language model architecture. It supports voice cloning, multi-speaker production, and precise audio editing for developers building voice applications.
Fish Speech is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.
At a glance
- Runs in
- Command line interface
- API server
- WebUI
- Start with
git clone https://github.com/fishaudio/fish-speech.git cd fish-speech
Platform
Server
About
What it is
Fish Speech is a voice synthesis toolkit that generates expressive, multilingual audio from text. It uses large language model architecture to support voice cloning, multi-speaker scenes, and natural-language control.
Who it suits
It is for developers and researchers who need voice production capabilities.
Where to use it
- Command line interface
- API server
- WebUI
How to set it up
- Prepare your environment.
- Download the model weights.
- Use the CLI, API, or WebUI for inference.
Run these in a terminal:
# Copy the project to your computer git clone https://github.com/fishaudio/fish-speech.git # Go into its folder cd fish-speech
How to use it
You send text to the model to generate audio. You can also provide a reference audio clip for voice cloning or use natural-language instructions to control emotion, prosody, and audio editing.
Example
You can generate a scene with multiple characters or use tags to adjust the emotion of the speech.
For newcomers and experts
For those new to the project, you can provide a script and describe the performance you want to hear. Experts can use the transformer-based architecture to perform complex tasks like multi-turn emotional revision and local audio infilling.
Good to know
- Supports approximately one hundred languages.
- Provides streaming audio output.
- Released under the Fish Audio Community License.
- S2-Pro weights are under the Fish Audio Research License.
README and files
Fish Speech
Generates expressive, multilingual audio from text using large language model architecture. It supports voice cloning, multi-speaker production, and precise audio editing for developers building voice applications.
Made by fishaudio on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository.
About
What it is: Fish Speech is a voice synthesis toolkit that generates expressive, multilingual audio from text. It uses large language model architecture to support voice cloning, multi-speaker scenes, and natural-language control.
Who it suits: It is for developers and researchers who need voice production capabilities.
Where to use it:
- Command line interface
- API server
- WebUI
How to set it up:
- Prepare your environment.
- Download the model weights.
- Use the CLI, API, or WebUI for inference.
How to use it: You send text to the model to generate audio. You can also provide a reference audio clip for voice cloning or use natural-language instructions to control emotion, prosody, and audio editing.
Example: You can generate a scene with multiple characters or use tags to adjust the emotion of the speech.
For newcomers and experts: For those new to the project, you can provide a script and describe the performance you want to hear. Experts can use the transformer-based architecture to perform complex tasks like multi-turn emotional revision and local audio infilling.
Good to know:
- Supports approximately one hundred languages.
- Provides streaming audio output.
- Released under the Fish Audio Community License.
- S2-Pro weights are under the Fish Audio Research License.
On GitHub, 5 November 2026
- Stars: 33,581
- Forks: 2,920
- Watching: 161
- Open issues and pull requests: 25
- Language: Python
- License: see the repository
- Topics: llama, transformer, tts, valle, vits, vqgan, vqvae
- Trending: #1 repository of the day on GitHub trending (5 November 2026)
Links
- Code: https://github.com/fishaudio/fish-speech
- Website: https://speech.fish.audio/
- Releases: https://github.com/fishaudio/fish-speech/releases
- Issues: https://github.com/fishaudio/fish-speech/issues
- Star history: https://www.star-history.com/#fishaudio/fish-speech&Date
Get the code
git clone https://github.com/fishaudio/fish-speech.gitThen follow the setup in its README. Nothing in this kit runs by itself.
README.md 2 KB
What’s new
Reviews
What people say
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
artninja1988Fish Speech 1.525 points · 2 repliesGitHub Trending🚀 Skyrocketing！ 🚀 (200+ new stars) 📦 fishaudio / fish-speech ⭐ 25,494 (+277) 🗒 Python SOTA Open Source TTS4 likes · 2 replies@METHEZONEVoice is a cheap way to make an agent feel real. The open-source options have gotten good. Repos for speech-to-text, TTS and voice agents, ranked by GitHub stars: 1. VoiceStudio (105k★) Local ElevenLabs alternative: voice cloning, voice design, dubbing. 2. GPT-SoVITS (64.6k★) Train a decent TTS…lengyueFish Speech TTS: clone OpenAI TTS in 30 minutesWhile we are still figuring out ways to improve the agent's emotional response to OpenAI GPT-4 level, we have already made significant progress in aligning OpenAI's TTS performance. To begin this experiment, we collected 10 hours of OpenAI TTS data to perform supervised fine-tuning (SFT) on both…5 points · 2 repliesCamille RouxFish Speech S2 : un système TTS open source entraîné sur 10 millions d'heures d'audio dans ~50 langues. Contrôle prosodique via tags en langage naturel ([laugh], [whispers]…). Meilleurs résultats que les modèles closed-source sur Seed-TTS Eval. https://github.com/fishaudio/fish-speech4 likes@willswaterai$82nicognawFish-Speech 1.1: Llama-based TTS trained on 150K hours of trilingual speach data2 pointsslampFish Audio has open-sourced S2, a #texttospeech model that supports fine-grained inline control of prosody and emotion using natural-language tags like [laugh], [whispers], and [super happy] https://github.com/fishaudio/fish-speech #AI2 likes@firelight279做口播视频，配音和字幕两步都能放在自己电脑上跑。Fish Speech 已经 3.3 万 star，这周还在提交。下面 5 个仓，前两个出声音，后三个出字幕。 1. Fish Speech 开源 TTS，给一段参考音频就能克隆音色配音。 https://t.co/b58qzSFzoR 2. F5-TTS 几秒参考音频就能零样本克隆，中英文都能念。 https://t.co/I7yd5CuRRT 3. faster-whisper Whisper 的加速版，识别精度不变，转写更快、更省显存。 https://t.co/D8pgnVnVCW 4. FunASR…sandreasShow HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS ModelCool. While I think this is indeed impressive and has a specific use case (e.g. in the embedded sector), I'm not totally convinced that the quality is good enough to replace bigger models. With fish-speech[1] and f5-tts[2] there are at least 2 open source models pushing the quality limits of…ミント公式のS2 Proは、短い参照音声での声質再現や、文中のタグで感情・話し方を動かせる本格派。ここはちゃんと強いです！ ただし公式ライセンスは研究・非商用利用が無料で、商用利用は別ライセンス。Apache 2.0ではありません。 https://github.com/fishaudio/fish-speech/blob/main/LICENSE1 reply@HytidelLegend文案写好了，配音还卡在反复重录？这 5 个 GitHub 项目，可以用来搭建 AI 配音流程👇 1、RVC-Boss/GPT-SoVITS 用参考人声生成配音，也支持少量音频微调 https://t.co/ebc6bZ6RcH 2、QwenAudio/CosyVoice 多语言语音合成，支持用指令控制情绪和语速 https://t.co/lNAFMiMcRs 3、SWivid/F5-TTS 支持分块合成、多风格与多说话人生成 https://t.co/R4B2ZmNqS6 4、fishaudio/fish-speech 支持多说话人、声音克隆和自然语言控制…
More from Mindket
See all from MindketQwen2.5-7B-Instruct-GGUF by Qwen
Qwen · Kit
Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…
New
ACE-Step 1.5 XL SFT
ACE-Step · Kit
Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…
New
Similar in Developer
See all in DeveloperClaude Code Skills & Plugins
alirezarezvani · Skill
Adds 411 ready-made skills for Claude Code and other coding agents, grouped by role from engineering and product to marketing, finance and compliance. Installs…
New29.8k
buzz
block · Kit
Self-hostable workspace where people and AI agents share the same rooms, built on a Nostr relay that logs every action as a signed event. For teams that want t…
New37.3k
plannotator
backnotprop · Kit
Opens your AI coding agent's plans, specs and code changes in a browser so you can annotate or comment on them and send the feedback straight back to the agent.
New10.5k