Home/Compare/TTS vs chatterbox-tts-api

Comparison

TTS vs chatterbox-tts-api

Verdict

Pick TTS if 🐸TTS is a Python-based deep learning toolkit for developing text-to-speech systems featuring models like Tacotron and Vocoder for training; 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 · TTS alternatives · chatterbox-tts-api alternatives

GraphCanon updated 1w

TTS logo

TTS

coqui-ai/TTS

46kpushed Aug 16, 2024
vs
chatterbox-tts-api logo

chatterbox-tts-api

travisvn/chatterbox-tts-api

666pushed Dec 23, 2025

Trust & integrity

SignalTTSchatterbox-tts-api
Maintenance
Dormant (711d since push)
As of 3w · github_public_v1
Slowing (232d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization 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

TTS
🐸💬 - a deep learning toolkit for Text-to-Speech
chatterbox-tts-api
Local OpenAI-compatible text-to-speech API using Chatterbox

Stars

TTS
46k
chatterbox-tts-api
666

Forks

TTS
6.2k
chatterbox-tts-api
152

Open issues

TTS
4
chatterbox-tts-api
16

Language

TTS
Python
chatterbox-tts-api
Python

Adopt for

TTS
🐸TTS is a Python-based deep learning toolkit for developing text-to-speech systems featuring models like Tacotron and Vocoder for training.
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

TTS
-
chatterbox-tts-api
-

Runtime

TTS
-
chatterbox-tts-api
-

License

TTS
MPL-2.0
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

TTS
Aug 16, 2024
chatterbox-tts-api
Dec 23, 2025

Categories

TTS
Model Training, Speech & Audio
chatterbox-tts-api
Speech & Audio

Trust and health

Maintenance

TTS
Dormant (18%)
chatterbox-tts-api
Slowing (36%)

Days since push

TTS
711d
chatterbox-tts-api
232d

Open issues (now)

TTS
4
chatterbox-tts-api
16

Owner type

TTS
Organization
chatterbox-tts-api
User

OSV dependency advisories

TTS
Published findings
chatterbox-tts-api
No lockfile (source not queried)

Full report

chatterbox-tts-api
Trust report

Shared compatibility

  • Python · TTS: Python runtime · chatterbox-tts-api: Python runtime

Choose TTS if…

  • License: TTS is MPL-2.0, chatterbox-tts-api is AGPL-3.0.
  • Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan.
  • Also covers Model Training.
  • TTS ships Docker support for self-hosted deployment.
  • If you are working on research projects that require advanced models such as Glow-TTS, HifiGAN, or MelGAN for high-quality speech synthesis

When NOT to use TTS

  • If your project strictly requires a lightweight installation without the overhead of extra dependencies included when installing 🐸TTS from source for development purposes
  • In cases where you are restricted to older Python versions less than 3.9, as 🐸TTS is tested on systems with python >= 3.9 but < 3.12

Choose chatterbox-tts-api if…

  • License: chatterbox-tts-api is AGPL-3.0, TTS is MPL-2.0.
  • 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 on cards: TTS 46k · chatterbox-tts-api 666 (synced Jul 29, 2026).

Common questions

What is the difference between TTS and chatterbox-tts-api?
TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech. 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 TTS over chatterbox-tts-api?
Choose TTS over chatterbox-tts-api when License: TTS is MPL-2.0, chatterbox-tts-api is AGPL-3.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Model Training; TTS ships Docker support for self-hosted deployment; If you are working on research projects that require advanced models such as Glow-TTS, HifiGAN, or MelGAN for high-quality speech synthesis.
When should I choose chatterbox-tts-api over TTS?
Choose chatterbox-tts-api over TTS when License: chatterbox-tts-api is AGPL-3.0, TTS is MPL-2.0; 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 TTS?
If your project strictly requires a lightweight installation without the overhead of extra dependencies included when installing 🐸TTS from source for development purposes In cases where you are restricted to older Python versions less than 3.9, as 🐸TTS is tested on systems with python >= 3.9 but < 3.12
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 TTS or chatterbox-tts-api more popular on GitHub?
TTS has more GitHub stars (45,832 vs 666). Stars measure visibility, not whether either tool fits your constraints.
Are TTS and chatterbox-tts-api open source?
Yes - both are open-source projects on GitHub (TTS: MPL-2.0, chatterbox-tts-api: AGPL-3.0).
Where can I find alternatives to TTS or chatterbox-tts-api?
GraphCanon lists graph-backed alternatives at TTS alternatives and chatterbox-tts-api alternatives (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, TTS or chatterbox-tts-api?
TTS: Dormant. 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 TTS and chatterbox-tts-api?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; chatterbox-tts-api trust report.

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