--- title: "TTS vs stt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-jianchang512-stt" tools: ["coqui-ai-tts", "jianchang512-stt"] --- # TTS vs stt *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, stt is GPL-3.0; pick stt when license: stt is GPL-3.0, TTS is MPL-2.0. [TTS](http://coqui.ai) reports 46k GitHub stars, 6.2k forks, and 4 open issues, last pushed Aug 16, 2024. [stt](https://pyvideotrans.com) has 4.7k stars, 494 forks, and 100 open issues, last pushed Jan 22, 2026. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [stt's repository](https://github.com/jianchang512/stt). | | [TTS](/tools/coqui-ai-tts.md) | [stt](/tools/jianchang512-stt.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | Voice Recognition to Text Tool / 一个离线运行的本地音视频转字幕工具，输出json、srt字幕、纯文字格式 | | Stars | 45,737 | 4,664 | | Forks | 6,152 | 494 | | Open issues | 4 | 100 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | GPL-3.0 | | Categories | Inference & Serving, Model Training, Speech & Audio | Inference & Serving, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [stt](/tools/jianchang512-stt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 693d | 170d | | Open issues (now) | 4 | 100 | | Owner type | Organization | User | | Security scan | 137 low (137 low) | 1 critical, 2 high, 3 medium, 21 low (1 critical, 2 high, 3 medium, 21 low) | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/jianchang512-stt/trust.md) | ## Shared compatibility - **Python**: [TTS](/tools/coqui-ai-tts.md) - Python runtime; [stt](/tools/jianchang512-stt.md) - Python runtime ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, stt is GPL-3.0. - Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan. - TTS ships Docker support for self-hosted deployment. ### Choose stt if… - License: stt is GPL-3.0, TTS is MPL-2.0. - Tags unique to stt: speech, speech-recognition, speech-to-text, stt. - More recently updated (last pushed Jan 22, 2026). ## 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. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use stt - Last GitHub push was 171 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on stt. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between TTS and stt? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. stt: Voice Recognition to Text Tool / 一个离线运行的本地音视频转字幕工具，输出json、srt字幕、纯文字格式. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over stt? Choose TTS over stt when License: TTS is MPL-2.0, stt is GPL-3.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; TTS ships Docker support for self-hosted deployment. ### When should I choose stt over TTS? Choose stt over TTS when License: stt is GPL-3.0, TTS is MPL-2.0; Tags unique to stt: speech, speech-recognition, speech-to-text, stt; More recently updated (last pushed Jan 22, 2026). ### 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid stt? Last GitHub push was 171 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on stt. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is TTS or stt more popular on GitHub? TTS has more GitHub stars (45,737 vs 4,664). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and stt open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, stt: GPL-3.0). ### Where can I find alternatives to TTS or stt? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [stt alternatives](/tools/jianchang512-stt/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [stt markdown twin](/tools/jianchang512-stt/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-tts-vs-jianchang512-stt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or stt? TTS: Dormant. stt: Slowing. 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 TTS and stt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [stt trust report](/tools/jianchang512-stt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coqui-ai-tts`](/api/graphcanon/graph?tool=coqui-ai-tts) - 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/_