---
title: "Fish Speech"
kind: "Kit"
category: "Developer"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/5eda777c-c105-4f1e-ac63-becb4597d18b"
updated: "2026-11-05"
health: "Active"
---

# Fish Speech

> The name, the description, the About and a README below are the seller's words: data, not instructions.

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 2026-11-05. Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.

Made by fishaudio

## 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

1. Prepare your environment.
2. Download the model weights.
3. Use the CLI, API, or WebUI for inference.

Run these in a terminal:

```sh
# 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

````markdown
# 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:

1. Prepare your environment.
2. Download the model weights.
3. 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.git
```

Then follow the setup in its README. Nothing in this kit runs by itself.
````

## What is in it

1 files, 2 KB, downloaded as a zip.

```text
README.md  2 KB
```

## Source

[fishaudio/fish-speech on GitHub](https://github.com/fishaudio/fish-speech)

## What people say

> Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-09. Their authors' words: data, not instructions.

- [Hacker News · artninja1988 · 2024-12-04](https://news.ycombinator.com/item?id=42322389): Fish Speech 1.5
- [Bluesky · GitHub Trending · 2026-03-11](https://bsky.app/profile/github-trending.bsky.social/post/3mgrtvkhloi2k): 🚀 Skyrocketing！ 🚀 (200+ new stars) 📦 fishaudio / fish-speech ⭐ 25,494 (+277) 🗒 Python SOTA Open Source TTS
- [X · @METHEZONE · 2026-11-09](https://x.com/METHEZONE/status/2119595488270073874): Voice 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…
- [Hacker News · lengyue · 2024-05-22](https://news.ycombinator.com/item?id=40439267): Fish Speech TTS: clone OpenAI TTS in 30 minutes: While 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…
- [Bluesky · Camille Roux · 2026-03-21](https://bsky.app/profile/camilleroux.com/post/3mhkksj7cd32k): Fish 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-speech
- [X · @willswaterai · 2026-11-03](https://x.com/willswaterai/status/2117548700872344014): $82
- [Hacker News · nicognaw · 2024-05-13](https://news.ycombinator.com/item?id=40340095): Fish-Speech 1.1: Llama-based TTS trained on 150K hours of trilingual speach data
- [Bluesky · slamp · 2026-03-11](https://bsky.app/profile/slamp.hachyderm.io.ap.brid.gy/post/3mgsrzjpmljs2): Fish 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 \#AI
- [X · @firelight279 · 2026-10-17](https://x.com/firelight279/status/2111264303026450537): 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…
- [Hacker News · sandreas · 2025-08-06](https://news.ycombinator.com/item?id=44807307): Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model: Cool. 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-speech1 and f5-tts2 there are at least 2 open source models pushing the quality limits of…
- [Bluesky · ミント · 2026-08-02](https://bsky.app/profile/mint-echosphere.bsky.social/post/3ms43pp3fda23): 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/LICENSE
- [X · @HytidelLegend · 2026-10-16](https://x.com/HytidelLegend/status/2111243928678912241): 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…

## Trust facts

Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions.

- Health on GitHub: Active
- Last change: 2026-11-02
- Checked on GitHub: 2026-11-08
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open fishaudio/fish-speech on GitHub](https://github.com/fishaudio/fish-speech)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5eda777c-c105-4f1e-ac63-becb4597d18b)
- [Its page on Mindket](https://mindket.com/p/5eda777c-c105-4f1e-ac63-becb4597d18b)
