Comparison
Matcha-TTS vs chatterbox-tts-api
Verdict
Pick Matcha-TTS if matcha-TTS employs non-autoregressive probabilistic techniques with deep learning for fast TTS generation; pick chatterbox-tts-api if chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.
Markdown twin · Matcha-TTS alternatives · chatterbox-tts-api alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | Matcha-TTS | chatterbox-tts-api |
|---|---|---|
| Maintenance | Active (16d since push) As of 3w · github_public_v1 | Slowing (232d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- Matcha-TTS
- Matcha-TTS is a fast TTS architecture with conditional flow matching
- chatterbox-tts-api
- Local OpenAI-compatible text-to-speech API using Chatterbox
Stars
- Matcha-TTS
- 1.3k
- chatterbox-tts-api
- 666
Forks
- Matcha-TTS
- 213
- chatterbox-tts-api
- 152
Open issues
- Matcha-TTS
- 35
- chatterbox-tts-api
- 16
Language
- Matcha-TTS
- Jupyter Notebook
- chatterbox-tts-api
- Python
Adopt for
- Matcha-TTS
- Matcha-TTS employs non-autoregressive probabilistic techniques with deep learning for fast TTS generation.
- chatterbox-tts-api
- Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.
Persona
- Matcha-TTS
- -
- chatterbox-tts-api
- -
Runtime
- Matcha-TTS
- -
- chatterbox-tts-api
- -
License
- Matcha-TTS
- MIT
- chatterbox-tts-api
- Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly.
Last pushed
- Matcha-TTS
- Jul 13, 2026
- chatterbox-tts-api
- Dec 23, 2025
Categories
- Matcha-TTS
- Speech & Audio
- chatterbox-tts-api
- Speech & Audio
Trust and health
Maintenance
- Matcha-TTS
- Active (82%)
- chatterbox-tts-api
- Slowing (36%)
Days since push
- Matcha-TTS
- 16d
- chatterbox-tts-api
- 232d
Open issues (now)
- Matcha-TTS
- 35
- chatterbox-tts-api
- 16
OSV dependency advisories
- Matcha-TTS
- Published findings
- chatterbox-tts-api
- No lockfile (source not queried)
Full report
- Matcha-TTS
- Trust report
- chatterbox-tts-api
- Trust report
Shared compatibility
- Python · Matcha-TTS: Python runtime · chatterbox-tts-api: Python runtime
Choose Matcha-TTS if…
- Matcha-TTS is primarily Jupyter Notebook; chatterbox-tts-api is Python.
- License: Matcha-TTS is MIT, chatterbox-tts-api is AGPL-3.0.
- 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
Choose chatterbox-tts-api if…
- chatterbox-tts-api is primarily Python; Matcha-TTS is Jupyter Notebook.
- License: chatterbox-tts-api is AGPL-3.0, Matcha-TTS is MIT.
- Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment..
- Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda.
- When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.
When NOT to use chatterbox-tts-api
- If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries.
- For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (shivammehta25/Matcha-TTS) · observed Jul 30, 2026
- GitHub forks (shivammehta25/Matcha-TTS) · observed Jul 30, 2026
- Last push (shivammehta25/Matcha-TTS) · observed Jul 13, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (travisvn/chatterbox-tts-api) · observed Aug 13, 2026
- GitHub forks (travisvn/chatterbox-tts-api) · observed Aug 13, 2026
- Last push (travisvn/chatterbox-tts-api) · observed Dec 23, 2025
- License file (AGPL-3.0) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Matcha-TTS 1.3k · chatterbox-tts-api 666 (synced Jul 30, 2026).
Common questions
- What is the difference between Matcha-TTS and chatterbox-tts-api?
- Matcha-TTS: Matcha-TTS is a fast TTS architecture with conditional flow matching. chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. See the comparison table for live GitHub stats and shared categories.
- When should I choose Matcha-TTS over chatterbox-tts-api?
- Choose Matcha-TTS over chatterbox-tts-api when Matcha-TTS is primarily Jupyter Notebook; chatterbox-tts-api is Python; License: Matcha-TTS is MIT, chatterbox-tts-api is AGPL-3.0; 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 choose chatterbox-tts-api over Matcha-TTS?
- Choose chatterbox-tts-api over Matcha-TTS when chatterbox-tts-api is primarily Python; Matcha-TTS is Jupyter Notebook; License: chatterbox-tts-api is AGPL-3.0, Matcha-TTS is MIT; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda; When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.
- 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
- When should I avoid chatterbox-tts-api?
- If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.
- Is Matcha-TTS or chatterbox-tts-api more popular on GitHub?
- Matcha-TTS has more GitHub stars (1,339 vs 666). Stars measure visibility, not whether either tool fits your constraints.
- Are Matcha-TTS and chatterbox-tts-api open source?
- Yes - both are open-source projects on GitHub (Matcha-TTS: MIT, chatterbox-tts-api: AGPL-3.0).
- Where can I find alternatives to Matcha-TTS or chatterbox-tts-api?
- GraphCanon lists graph-backed alternatives at Matcha-TTS alternatives and chatterbox-tts-api alternatives (Matcha-TTS markdown twin, chatterbox-tts-api 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, Matcha-TTS or chatterbox-tts-api?
- Matcha-TTS: Active. chatterbox-tts-api: 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 Matcha-TTS and chatterbox-tts-api?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Matcha-TTS trust report; chatterbox-tts-api trust report.