vaibhavs10/open-tts-tracker — explained in plain English
Analysis updated 2026-07-19 · repo last pushed 2025-02-13
Find an open-source TTS model that supports specific languages like Indic or European languages for a language learning app.
Compare models that support voice cloning and emotional control to generate character voices for a game.
Evaluate whether a TTS model can run on a standard CPU or requires a dedicated GPU before committing to integration.
Discover open-source alternatives to paid text-to-speech APIs for a startup's synthetic voice features.
| vaibhavs10/open-tts-tracker | lyra81604/zhengxi-views | xrpcommunity/xrp-community-wallet | |
|---|---|---|---|
| Stars | 1,147 | 1,151 | 1,140 |
| Language | — | Python | TypeScript |
| Last pushed | 2025-02-13 | 2026-06-30 | 2026-06-15 |
| Maintenance | Stale | Active | Maintained |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 1/5 | 3/5 | 2/5 |
| Audience | developer | researcher | general |
Figures from each repo's GitHub metadata at analysis time.
No setup required, it is a curated markdown list that you browse directly on GitHub.
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.
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.
Stale — no commits in 1-2 years (last push 2025-02-13).
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.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.