--- title: "STT vs TTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-stt-vs-coqui-ai-tts" tools: ["coqui-ai-stt", "coqui-ai-tts"] --- # STT vs TTS *GraphCanon updated Jul 11, 2026* ## Verdict Pick STT when sTT is primarily C++; TTS is Python; pick TTS when tTS is primarily Python; STT is C++. [STT](https://coqui.ai) reports 2.6k GitHub stars, 299 forks, and 106 open issues, last pushed Mar 11, 2024. [TTS](http://coqui.ai) has 46k stars, 6.2k forks, and 4 open issues, last pushed Aug 16, 2024. Figures are from public GitHub metadata via [STT's repository](https://github.com/coqui-ai/STT) and [TTS's repository](https://github.com/coqui-ai/TTS). | | [STT](/tools/coqui-ai-stt.md) | [TTS](/tools/coqui-ai-tts.md) | | --- | --- | --- | | Tagline | 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy. | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | | Stars | 2,590 | 45,737 | | Forks | 299 | 6,152 | | Open issues | 106 | 4 | | Language | C++ | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | MPL-2.0 | | Categories | Model Training, Inference & Serving, Speech & Audio | Model Training, Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [STT](/tools/coqui-ai-stt.md) | [TTS](/tools/coqui-ai-tts.md) | | --- | --- | --- | | Days since push | 852d | 693d | | Open issues (now) | 106 | 4 | | Security scan | No lockfile | 137 low (137 low) | | Full report | [trust report](/tools/coqui-ai-stt/trust.md) | [trust report](/tools/coqui-ai-tts/trust.md) | ## Choose when ### Choose STT if… - STT is primarily C++; TTS is Python. - Tags unique to STT: automatic-speech-recognition, asr, speech-recognition-api, speech-to-text. ### Choose TTS if… - TTS is primarily Python; STT is C++. - Tags unique to TTS: glow-tts, python, hifigan, pytorch. - TTS ships Docker support for self-hosted deployment. ## When NOT to use STT - Last GitHub push was 853 days ago (dormant maintenance, Mar 11, 2024). Validate activity before betting a new project on STT. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use TTS - Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between STT and TTS? STT: 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.. TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. See the comparison table for live GitHub stats and shared categories. ### When should I choose STT over TTS? Choose STT over TTS when STT is primarily C++; TTS is Python; Tags unique to STT: automatic-speech-recognition, asr, speech-recognition-api, speech-to-text. ### When should I choose TTS over STT? Choose TTS over STT when TTS is primarily Python; STT is C++; Tags unique to TTS: glow-tts, python, hifigan, pytorch; TTS ships Docker support for self-hosted deployment. ### When should I avoid STT? Last GitHub push was 853 days ago (dormant maintenance, Mar 11, 2024). Validate activity before betting a new project on STT. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid TTS? Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is STT or TTS more popular on GitHub? TTS has more GitHub stars (45,737 vs 2,590). Stars measure visibility, not whether either tool fits your constraints. ### Are STT and TTS open source? Yes - both are open-source projects on GitHub (STT: MPL-2.0, TTS: MPL-2.0). ### Where can I find alternatives to STT or TTS? GraphCanon lists graph-backed alternatives at [STT alternatives](/tools/coqui-ai-stt/alternatives) and [TTS alternatives](/tools/coqui-ai-tts/alternatives) ([STT markdown twin](/tools/coqui-ai-stt/alternatives.md), [TTS markdown twin](/tools/coqui-ai-tts/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/coqui-ai-stt-vs-coqui-ai-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, STT or TTS? STT: Dormant. TTS: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for STT and TTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [STT trust report](/tools/coqui-ai-stt/trust); [TTS trust report](/tools/coqui-ai-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coqui-ai-stt`](/api/graphcanon/graph?tool=coqui-ai-stt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_