Home/Compare/vall-e vs chatterbox-tts-api

Comparison

vall-e vs chatterbox-tts-api

Verdict

Pick vall-e if vALL-E is an unofficial PyTorch implementation of a text-to-speech (TTS) audio language model, requiring specific installation dependencies and environments; 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 · vall-e alternatives · chatterbox-tts-api alternatives

GraphCanon updated 1w

vall-e logo

vall-e

enhuiz/vall-e

3.0kpushed May 10, 2023
vs
chatterbox-tts-api logo

chatterbox-tts-api

travisvn/chatterbox-tts-api

666pushed Dec 23, 2025

Trust & integrity

Signalvall-echatterbox-tts-api
Maintenance
Dormant (1176d 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
No lockfile (source not queried)
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

vall-e
An unofficial PyTorch implementation of the audio LM VALL-E
chatterbox-tts-api
Local OpenAI-compatible text-to-speech API using Chatterbox

Stars

vall-e
3.0k
chatterbox-tts-api
666

Forks

vall-e
400
chatterbox-tts-api
152

Open issues

vall-e
71
chatterbox-tts-api
16

Language

vall-e
Python
chatterbox-tts-api
Python

Adopt for

vall-e
VALL-E is an unofficial PyTorch implementation of a text-to-speech (TTS) audio language model, requiring specific installation dependencies and environments.
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

vall-e
-
chatterbox-tts-api
-

Runtime

vall-e
-
chatterbox-tts-api
-

License

vall-e
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

vall-e
May 10, 2023
chatterbox-tts-api
Dec 23, 2025

Categories

vall-e
Model Training, Speech & Audio
chatterbox-tts-api
Speech & Audio

Trust and health

Maintenance

vall-e
Dormant (18%)
chatterbox-tts-api
Slowing (36%)

Days since push

vall-e
1176d
chatterbox-tts-api
232d

Open issues (now)

vall-e
71
chatterbox-tts-api
16

Full report

chatterbox-tts-api
Trust report

Shared compatibility

  • Python · vall-e: Python runtime · chatterbox-tts-api: Python runtime

Choose vall-e if…

  • License: vall-e is MIT, chatterbox-tts-api is AGPL-3.0.
  • Tags unique to vall-e: audio-lm, pytorch, text-to-speech, tts.
  • Also covers Model Training.
  • - Use VALL-E if your development environment already includes DeepSpeed and you are committed to using PyTorch for audio processing tasks.

When NOT to use vall-e

  • - Avoid VALL-E if your project does not align with the specific requirements, such as the exact version of Python (Python 3.10.7) it was tested on.
  • - Do not use this tool if you lack a GPU that is compatible and tested by DeepSpeed or do not have access to CUDA or ROCm compilers.

Choose chatterbox-tts-api if…

  • License: chatterbox-tts-api is AGPL-3.0, vall-e 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 on cards: vall-e 3.0k · chatterbox-tts-api 666 (synced Jul 29, 2026).

Common questions

What is the difference between vall-e and chatterbox-tts-api?
vall-e: An unofficial PyTorch implementation of the audio LM VALL-E. 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 vall-e over chatterbox-tts-api?
Choose vall-e over chatterbox-tts-api when License: vall-e is MIT, chatterbox-tts-api is AGPL-3.0; Tags unique to vall-e: audio-lm, pytorch, text-to-speech, tts; Also covers Model Training; - Use VALL-E if your development environment already includes DeepSpeed and you are committed to using PyTorch for audio processing tasks.
When should I choose chatterbox-tts-api over vall-e?
Choose chatterbox-tts-api over vall-e when License: chatterbox-tts-api is AGPL-3.0, vall-e 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 vall-e?
- Avoid VALL-E if your project does not align with the specific requirements, such as the exact version of Python (Python 3.10.7) it was tested on. - Do not use this tool if you lack a GPU that is compatible and tested by DeepSpeed or do not have access to CUDA or ROCm compilers.
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 vall-e or chatterbox-tts-api more popular on GitHub?
vall-e has more GitHub stars (2,980 vs 666). Stars measure visibility, not whether either tool fits your constraints.
Are vall-e and chatterbox-tts-api open source?
Yes - both are open-source projects on GitHub (vall-e: MIT, chatterbox-tts-api: AGPL-3.0).
Where can I find alternatives to vall-e or chatterbox-tts-api?
GraphCanon lists graph-backed alternatives at vall-e alternatives and chatterbox-tts-api alternatives (vall-e 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, vall-e or chatterbox-tts-api?
vall-e: 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 vall-e and chatterbox-tts-api?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vall-e trust report; chatterbox-tts-api trust report.

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