GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
STT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups.
Good fit when
- When you need a tool with high-quality pre-trained STT models
- For scenarios requiring real-time inference capabilities
Avoid when
- Since its development has slowed, it may not suit users needing the latest research advancements
- Avoid if you require community support as active maintenance has decreased
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (922d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/coqui-ai/STTSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
🐸STT is an open-source toolkit for training and deploying Speech-to-Text models with features such as high-quality pre-trained models, efficient multi-GPU training pipeline, real-time inference, and support for multiple programming languages.
Capability facts
- Languages
- c++
Source: github.language · Sep 20, 2026
Categories
Tags
README
.. note:: This project is no longer actively maintained , and we have stopped hosting the online Model Zoo. We've seen focus shift towards newer STT models such as Whisper, and have ourselves focused on Coqui TTS and Coqui Studio. The models will remain available in the releases...
For agents
This page has a .md twin and JSON over the API.