--- title: "TTS vs CosyVoice" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-funaudiollm-cosyvoice" tools: ["coqui-ai-tts", "funaudiollm-cosyvoice"] --- # TTS vs CosyVoice *GraphCanon updated Jul 12, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, CosyVoice is Apache-2.0; pick CosyVoice when license: CosyVoice is Apache-2.0, 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. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) has 22k stars, 2.5k forks, and 767 open issues, last pushed May 25, 2026. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice). | | [TTS](/tools/coqui-ai-tts.md) | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | | Stars | 45,737 | 22,089 | | Forks | 6,152 | 2,545 | | Open issues | 4 | 767 | | Language | Python | Python | | Adopt for | - | CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-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._ | | [TTS](/tools/coqui-ai-tts.md) | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 693d | 46d | | Open issues (now) | 4 | 767 | | Security scan | 137 low (137 low) | No lockfile | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | ## Decision facts: CosyVoice - **Adopt for:** CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, CosyVoice is Apache-2.0. - Tags unique to TTS: deep-learning, glow-tts, python, hifigan. - TTS ships Docker support for self-hosted deployment. ### Choose CosyVoice if… - License: CosyVoice is Apache-2.0, TTS is MPL-2.0. - Tags unique to CosyVoice: cantonese, audio-generation, chinese, english. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ## 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. ## When NOT to use CosyVoice - If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. - When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ## Common questions ### What is the difference between TTS and CosyVoice? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over CosyVoice? Choose TTS over CosyVoice when License: TTS is MPL-2.0, CosyVoice is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, python, hifigan; TTS ships Docker support for self-hosted deployment. ### When should I choose CosyVoice over TTS? Choose CosyVoice over TTS when License: CosyVoice is Apache-2.0, TTS is MPL-2.0; Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### 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. ### When should I avoid CosyVoice? If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ### Is TTS or CosyVoice more popular on GitHub? TTS has more GitHub stars (45,737 vs 22,089). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and CosyVoice open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, CosyVoice: Apache-2.0). ### Where can I find alternatives to TTS or CosyVoice? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/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-funaudiollm-cosyvoice.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or CosyVoice? TTS: Dormant. CosyVoice: Steady. 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 CosyVoice? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [CosyVoice trust report](/tools/funaudiollm-cosyvoice/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/_