Home/Compare/TTS vs CosyVoice

Comparison

TTS vs CosyVoice

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.

Markdown twin · TTS alternatives · CosyVoice alternatives

GraphCanon updated today

TTS logo

TTS

coqui-ai/TTS

46kpushed Aug 16, 2024
vs
CosyVoice logo

CosyVoice

FunAudioLLM/CosyVoice

22kpushed May 25, 2026

Trust & integrity

SignalTTSCosyVoice
Maintenance
Dormant (693d since push)
As of today · github_public_v1
Steady (46d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
137 low (137 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

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.

Stars

TTS
46k
CosyVoice
22k

Forks

TTS
6.2k
CosyVoice
2.5k

Open issues

TTS
4
CosyVoice
767

Language

TTS
Python
CosyVoice
Python

Adopt for

TTS
-
CosyVoice
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

TTS
-
CosyVoice
-

Runtime

TTS
-
CosyVoice
-

License

TTS
MPL-2.0
CosyVoice
Apache-2.0

Last pushed

TTS
Aug 16, 2024
CosyVoice
May 25, 2026

Categories

TTS
Model Training, Speech & Audio, Inference & Serving
CosyVoice
Model Training, Speech & Audio, Inference & Serving

Trust and health

Maintenance

TTS
Dormant (18%)
CosyVoice
Steady (60%)

Days since push

TTS
693d
CosyVoice
46d

Open issues (now)

TTS
4
CosyVoice
767

Security scan

TTS
137 low (137 low)
CosyVoice
No lockfile

Full report

CosyVoice
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: TTS 46k · CosyVoice 22k (synced Jul 11, 2026).

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 and CosyVoice alternatives (TTS markdown twin, CosyVoice markdown twin), 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 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; CosyVoice trust report.