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what is open-tts-tracker fr?

vaibhavs10/open-tts-tracker — explained in plain English

Analysis updated 2026-07-19 · repo last pushed 2025-02-13

1,147Audience · developerComplexity · 1/5StaleSetup · easy

tl;dr

A curated directory of open-source text-to-speech AI models, letting you compare features like voice cloning, languages, and licensing in one frequently updated list.

vibe map

mindmap
  root((repo))
    What it does
      Curated TTS model list
      Links to code and weights
      Tracks licenses and languages
    Key features
      Voice cloning support
      Emotional control options
      Streaming audio capability
    Use cases
      Language learning apps
      Game character voices
      Avoiding paid APIs
    Audience
      Developers
      Researchers
      Founders
    Contribution
      Open source models only
      Submit via pull requests

Code map

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what do people make with this?

VIBE 1

Find an open-source TTS model that supports specific languages like Indic or European languages for a language learning app.

VIBE 2

Compare models that support voice cloning and emotional control to generate character voices for a game.

VIBE 3

Evaluate whether a TTS model can run on a standard CPU or requires a dedicated GPU before committing to integration.

VIBE 4

Discover open-source alternatives to paid text-to-speech APIs for a startup's synthetic voice features.

what's the stack?

Markdown

how it stacks up fr

vaibhavs10/open-tts-trackerlyra81604/zhengxi-viewsxrpcommunity/xrp-community-wallet
Stars1,1471,1511,140
LanguagePythonTypeScript
Last pushed2025-02-132026-06-302026-06-15
MaintenanceStaleActiveMaintained
Setup difficultyeasymoderatemoderate
Complexity1/53/52/5
Audiencedeveloperresearchergeneral

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

how do i run it?

Difficulty · easy time til it works · 5min

No setup required, it is a curated markdown list that you browse directly on GitHub.

No specific license is mentioned for this repository itself, it is a community-maintained list tracking models that each have their own open-source licenses.

in plain english

Open TTS Tracker is a curated list of open-source text-to-speech (TTS) models. Instead of building a product itself, it serves as a central directory where you can find, compare, and access the code for AI models that convert written text into spoken audio. The project's goal is to make it easier for anyone to stay informed about the latest open TTS advancements in one place. The repository is essentially a large, frequently updated table. For each model listed, it provides direct links to its code, downloadable model weights, license type, and a live demo if available. It also tracks practical details like which languages a model supports and whether it can be fine-tuned on your own data. A second table breaks down specific capabilities, such as whether a model supports voice cloning, emotional control, or streaming audio, and whether it requires a dedicated GPU or can run on a standard computer processor. This resource is built for developers, researchers, and founders who want to add synthetic voice to their applications without relying on closed, paid APIs. For example, a startup building a language learning app could use the tracker to find a model that supports multiple Indic languages. A game developer looking to generate character voices could compare models that support voice cloning and emotional control to find one that fits their creative needs. Notably, the project strictly only tracks models with openly available code and weights, intentionally excluding proprietary systems. The community is encouraged to contribute by submitting pull requests for new models that meet this open-source criteria. The README doesn't go into deep detail on how each individual model performs, but it does provide the direct links and metadata needed to evaluate them yourself.

prompts (copy fr)

prompt 1
Read the open-tts-tracker table and suggest the top 3 open-source TTS models that support voice cloning and can run on a standard CPU without a GPU.
prompt 2
I am building a language learning app focused on Indic languages. Using the open-tts-tracker repository, list the models that support Indic languages and provide their direct code links.
prompt 3
Compare the open-source TTS models from open-tts-tracker that offer emotional control. Create a summary table showing their supported languages, streaming capabilities, and whether fine-tuning is allowed.
prompt 4
Find open-source text-to-speech models from open-tts-tracker that do not require a dedicated GPU, and outline how a startup could use them to replace a paid TTS API.

Frequently asked questions

what is open-tts-tracker fr?

A curated directory of open-source text-to-speech AI models, letting you compare features like voice cloning, languages, and licensing in one frequently updated list.

Is open-tts-tracker actively maintained?

Stale — no commits in 1-2 years (last push 2025-02-13).

What license does open-tts-tracker use?

No specific license is mentioned for this repository itself, it is a community-maintained list tracking models that each have their own open-source licenses.

How hard is open-tts-tracker to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is open-tts-tracker for?

Mainly developer.

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This repo across BitVibe Labs

double-check against the repo, no cap.