Home/Compare/Chatterbox-TTS-Server vs Matcha-TTS

Comparison

Chatterbox-TTS-Server vs Matcha-TTS

Verdict

Pick Chatterbox-TTS-Server if chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU; pick Matcha-TTS if matcha-TTS employs non-autoregressive probabilistic techniques with deep learning for fast TTS generation.

Markdown twin · Chatterbox-TTS-Server alternatives · Matcha-TTS alternatives

GraphCanon updated 3w

Chatterbox-TTS-Server logo

Chatterbox-TTS-Server

devnen/Chatterbox-TTS-Server

1.4kpushed May 26, 2026
vs
Matcha-TTS logo

Matcha-TTS

shivammehta25/Matcha-TTS

1.3kpushed Jul 13, 2026

Trust & integrity

SignalChatterbox-TTS-ServerMatcha-TTS
Maintenance
Steady (64d since push)
As of 3w · github_public_v1
Active (16d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

Chatterbox-TTS-Server
Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints
Matcha-TTS
Matcha-TTS is a fast TTS architecture with conditional flow matching

Stars

Chatterbox-TTS-Server
1.4k
Matcha-TTS
1.3k

Forks

Chatterbox-TTS-Server
333
Matcha-TTS
213

Open issues

Chatterbox-TTS-Server
45
Matcha-TTS
35

Language

Chatterbox-TTS-Server
Python
Matcha-TTS
Jupyter Notebook

Adopt for

Chatterbox-TTS-Server
Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU.
Matcha-TTS
Matcha-TTS employs non-autoregressive probabilistic techniques with deep learning for fast TTS generation.

Persona

Chatterbox-TTS-Server
-
Matcha-TTS
-

Runtime

Chatterbox-TTS-Server
-
Matcha-TTS
-

License

Chatterbox-TTS-Server
MIT License, open-source with permissive terms for modification and distribution.
Matcha-TTS
MIT

Last pushed

Chatterbox-TTS-Server
May 26, 2026
Matcha-TTS
Jul 13, 2026

Categories

Chatterbox-TTS-Server
Speech & Audio
Matcha-TTS
Speech & Audio

Trust and health

Maintenance

Chatterbox-TTS-Server
Steady (60%)
Matcha-TTS
Active (82%)

Days since push

Chatterbox-TTS-Server
64d
Matcha-TTS
16d

Open issues (now)

Chatterbox-TTS-Server
45
Matcha-TTS
35

Full report

Chatterbox-TTS-Server
Trust report
Matcha-TTS
Trust report

Shared compatibility

  • Python · Chatterbox-TTS-Server: Python runtime · Matcha-TTS: Python runtime

Choose Chatterbox-TTS-Server if…

  • Chatterbox-TTS-Server is primarily Python; Matcha-TTS is Jupyter Notebook.
  • Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements..
  • Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox.
  • Chatterbox-TTS-Server ships Docker support for self-hosted deployment.
  • You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning.

When NOT to use Chatterbox-TTS-Server

  • When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10).
  • If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups.
  • For projects requiring minimal dependencies without manual handling of installation intricacies.

Choose Matcha-TTS if…

  • Matcha-TTS is primarily Jupyter Notebook; Chatterbox-TTS-Server is Python.
  • Tags unique to Matcha-TTS: deep-learning, diffusion-models, flow-matching, non-autoregressive.
  • When you require rapid deployment of text-to-speech engines without autoregressive dependencies

When NOT to use Matcha-TTS

  • If your project requires real-time adaptability to user input that necessitates autoregressive methods
  • In scenarios where licensing flexibility is not a priority, favoring proprietary systems with dedicated support

Explore

Sources

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

GitHub stars on cards: Chatterbox-TTS-Server 1.4k · Matcha-TTS 1.3k (synced Jul 30, 2026).

Common questions

What is the difference between Chatterbox-TTS-Server and Matcha-TTS?
Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. Matcha-TTS: Matcha-TTS is a fast TTS architecture with conditional flow matching. See the comparison table for live GitHub stats and shared categories.
When should I choose Chatterbox-TTS-Server over Matcha-TTS?
Choose Chatterbox-TTS-Server over Matcha-TTS when Chatterbox-TTS-Server is primarily Python; Matcha-TTS is Jupyter Notebook; Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.; Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox; Chatterbox-TTS-Server ships Docker support for self-hosted deployment; You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning.
When should I choose Matcha-TTS over Chatterbox-TTS-Server?
Choose Matcha-TTS over Chatterbox-TTS-Server when Matcha-TTS is primarily Jupyter Notebook; Chatterbox-TTS-Server is Python; Tags unique to Matcha-TTS: deep-learning, diffusion-models, flow-matching, non-autoregressive; When you require rapid deployment of text-to-speech engines without autoregressive dependencies.
When should I avoid Chatterbox-TTS-Server?
When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10). If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups. For projects requiring minimal dependencies without manual handling of installation intricacies.
When should I avoid Matcha-TTS?
If your project requires real-time adaptability to user input that necessitates autoregressive methods In scenarios where licensing flexibility is not a priority, favoring proprietary systems with dedicated support
Is Chatterbox-TTS-Server or Matcha-TTS more popular on GitHub?
Chatterbox-TTS-Server has more GitHub stars (1,379 vs 1,339). Stars measure visibility, not whether either tool fits your constraints.
Are Chatterbox-TTS-Server and Matcha-TTS open source?
Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, Matcha-TTS: MIT).
Where can I find alternatives to Chatterbox-TTS-Server or Matcha-TTS?
GraphCanon lists graph-backed alternatives at Chatterbox-TTS-Server alternatives and Matcha-TTS alternatives (Chatterbox-TTS-Server markdown twin, Matcha-TTS 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, Chatterbox-TTS-Server or Matcha-TTS?
Chatterbox-TTS-Server: Steady. Matcha-TTS: Active. 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 Chatterbox-TTS-Server and Matcha-TTS?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Chatterbox-TTS-Server trust report; Matcha-TTS trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.