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misolabsai/misotts

Analysis updated 2026-07-03 · repo last pushed 2026-06-09

★ 3,061PythonAudience · developerComplexity · 4/5ActiveSetup · hard

TLDR

Miso TTS is an AI model that turns written text into natural, emotionally expressive spoken dialogue. It supports voice cloning from short audio clips and includes built-in audio watermarking for safety.

Mindmap

mindmap
  root((repo))
    What it does
      Text to speech
      Emotional voices
      Voice cloning
    Tech stack
      Python
      Backbone model
      Audio generation model
    Use cases
      Game character voices
      Newsletter audio versions
      Empathetic voice assistants
    Audience
      Developers
      Founders
      Product teams
    Requirements
      24GB GPU memory
      30-40GB downloads
      Audio watermarking
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What do people build with it?

USE CASE 1

Generate dynamic spoken dialogue for video game characters with emotional tone.

USE CASE 2

Convert written newsletters into natural-sounding audio versions.

USE CASE 3

Build a voice assistant that responds with empathetic, human-like speech.

USE CASE 4

Clone a speaker's voice from a short audio clip for custom voiceovers.

What is it built with?

PythonBackbone modelAudio generation model

How does it compare?

misolabsai/misottsmuxuuu/serenity-skillelementalsouls/claude-bughunter
Stars3,0613,2042,853
LanguagePythonPythonPython
Last pushed2026-06-092026-05-052026-07-01
MaintenanceActiveMaintainedActive
Setup difficultyhardeasymoderate
Complexity4/52/53/5
Audiencedeveloperpm founderdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1day+

Requires a powerful GPU with at least 24GB of memory and downloading 30-40GB of model files, local inference will be noticeably slower than the hosted version.

In plain English

Miso TTS is an AI model that turns written text into spoken dialogue, with a strong emphasis on conveying emotion and sounding natural. Instead of producing flat, robotic reading, it aims to generate conversational speech that sounds like real people talking. You can try it directly on the creators' website, or download the code to run it on your own machine. At its core, the model uses two main components to accomplish this. A large "backbone" system reads your input text and any prior conversation history you give it, figuring out what the speech should sound like. Then, a smaller companion system translates that understanding into actual audio, frame by frame. The model can also listen to a short audio clip of a voice and mimic that speaker's tone, a feature known as voice cloning. This tool is built for developers, founders, or product teams who want to add highly expressive, conversational voiceovers to their own applications without hiring human voice actors. For example, you could use it to generate dynamic dialogue for a video game character, create an audio version of a written newsletter, or build a voice assistant that sounds genuinely empathetic rather than mechanical. The project is notably large and resource-heavy. It requires a powerful graphics card with at least 24 GB of memory to run comfortably, and the initial setup involves downloading around 30 to 40 GB of files. The creators note that while their hosted online version is very fast, running the model locally on your own computer will be noticeably slower. Additionally, every piece of audio it generates includes a hidden watermark by default, which is a built-in safety measure to help prevent the creation of deceptive or fraudulent audio.

Copy-paste prompts

Prompt 1
I want to use Miso TTS to generate conversational dialogue for a video game character. How do I pass conversation history to the model so the speech sounds emotionally appropriate for the scene?
Prompt 2
How can I use Miso TTS to clone a specific speaker's voice from a short audio clip and then generate new speech in that same voice?
Prompt 3
What hardware do I need to run Miso TTS locally, and how do I handle the 30-40GB model download during setup?
Prompt 4
I have a written newsletter and want to turn it into a natural-sounding audio version using Miso TTS. What's the workflow to go from text to an audio file?

Frequently asked questions

What is misotts?

Miso TTS is an AI model that turns written text into natural, emotionally expressive spoken dialogue. It supports voice cloning from short audio clips and includes built-in audio watermarking for safety.

What language is misotts written in?

Mainly Python. The stack also includes Python, Backbone model, Audio generation model.

Is misotts actively maintained?

Active — commit in last 30 days (last push 2026-06-09).

How hard is misotts to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is misotts for?

Mainly developer.

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