Home/Compare/WhisperLive vs Chatterbox-TTS-Server

Comparison

WhisperLive vs Chatterbox-TTS-Server

Verdict

Pick WhisperLive if whisperLive offers nearly real-time speech transcription based on OpenAI's Whisper model across multiple hardware-accelerated backends; 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.

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

GraphCanon updated 3w

WhisperLive logo

WhisperLive

collabora/WhisperLive

4.2kpushed Jul 27, 2026
vs
Chatterbox-TTS-Server logo

Chatterbox-TTS-Server

devnen/Chatterbox-TTS-Server

1.4kpushed May 26, 2026

Trust & integrity

SignalWhisperLiveChatterbox-TTS-Server
Maintenance
Very active (1d since push)
As of 3w · github_public_v1
Steady (64d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

WhisperLive
A nearly-live implementation of OpenAI's Whisper for real-time voice recognition
Chatterbox-TTS-Server
Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints

Stars

WhisperLive
4.2k
Chatterbox-TTS-Server
1.4k

Forks

WhisperLive
574
Chatterbox-TTS-Server
333

Open issues

WhisperLive
37
Chatterbox-TTS-Server
45

Language

WhisperLive
Python
Chatterbox-TTS-Server
Python

Adopt for

WhisperLive
WhisperLive offers nearly real-time speech transcription based on OpenAI's Whisper model across multiple hardware-accelerated backends.
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.

Persona

WhisperLive
-
Chatterbox-TTS-Server
-

Runtime

WhisperLive
-
Chatterbox-TTS-Server
-

License

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

Last pushed

WhisperLive
Jul 27, 2026
Chatterbox-TTS-Server
May 26, 2026

Categories

WhisperLive
Speech & Audio
Chatterbox-TTS-Server
Speech & Audio

Trust and health

Maintenance

WhisperLive
Very active (96%)
Chatterbox-TTS-Server
Steady (60%)

Days since push

WhisperLive
1d
Chatterbox-TTS-Server
64d

Open issues (now)

WhisperLive
37
Chatterbox-TTS-Server
45

Owner type

WhisperLive
Organization
Chatterbox-TTS-Server
User

OSV dependency advisories

WhisperLive
No lockfile (source not queried)
Chatterbox-TTS-Server
Published findings

Full report

WhisperLive
Trust report
Chatterbox-TTS-Server
Trust report

Shared compatibility

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

Choose WhisperLive if…

  • Requirements: Min 4 GB RAM; Requires Docker; PortAudio system dependency required.; Requires Python 3.12 environment and virtual environments.
  • Tags unique to WhisperLive: dictation, text-to-speech, translation, voice-recognition.
  • When you require low-latency voice recognition and can leverage high-performance GPUs or OpenVINO for significant speedups.

When NOT to use WhisperLive

  • Avoid using WhisperLive if the project lacks necessary hardware acceleration via TensorRT, OpenVINO, or is deployed on environments not compatible with Docker configurations.
  • Do not choose WhisperLive if a Windows-only solution is required, as its setup instructions are tailored for Linux and macOS.

Choose Chatterbox-TTS-Server if…

  • 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.

Explore

Sources

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

GitHub stars on cards: WhisperLive 4.2k · Chatterbox-TTS-Server 1.4k (synced Jul 29, 2026).

Common questions

What is the difference between WhisperLive and Chatterbox-TTS-Server?
WhisperLive: A nearly-live implementation of OpenAI's Whisper for real-time voice recognition. Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. See the comparison table for live GitHub stats and shared categories.
When should I choose WhisperLive over Chatterbox-TTS-Server?
Choose WhisperLive over Chatterbox-TTS-Server when Requirements: Min 4 GB RAM; Requires Docker; PortAudio system dependency required.; Requires Python 3.12 environment and virtual environments; Tags unique to WhisperLive: dictation, text-to-speech, translation, voice-recognition; When you require low-latency voice recognition and can leverage high-performance GPUs or OpenVINO for significant speedups.
When should I choose Chatterbox-TTS-Server over WhisperLive?
Choose Chatterbox-TTS-Server over WhisperLive when 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 avoid WhisperLive?
Avoid using WhisperLive if the project lacks necessary hardware acceleration via TensorRT, OpenVINO, or is deployed on environments not compatible with Docker configurations. Do not choose WhisperLive if a Windows-only solution is required, as its setup instructions are tailored for Linux and macOS.
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.
Is WhisperLive or Chatterbox-TTS-Server more popular on GitHub?
WhisperLive has more GitHub stars (4,190 vs 1,379). Stars measure visibility, not whether either tool fits your constraints.
Are WhisperLive and Chatterbox-TTS-Server open source?
Yes - both are open-source projects on GitHub (WhisperLive: MIT, Chatterbox-TTS-Server: MIT).
Where can I find alternatives to WhisperLive or Chatterbox-TTS-Server?
GraphCanon lists graph-backed alternatives at WhisperLive alternatives and Chatterbox-TTS-Server alternatives (WhisperLive markdown twin, Chatterbox-TTS-Server 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, WhisperLive or Chatterbox-TTS-Server?
WhisperLive: Very active. Chatterbox-TTS-Server: 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 WhisperLive and Chatterbox-TTS-Server?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WhisperLive trust report; Chatterbox-TTS-Server trust report.

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