Home/Compare/ChatTTS vs whisper

Comparison

ChatTTS vs whisper

Verdict

Pick ChatTTS if chatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities; pick whisper if whisper is a speech recognition model that uses large-scale weak supervision to transcribe audio to text with high accuracy.

Markdown twin · ChatTTS alternatives · whisper alternatives

GraphCanon updated Sep 30, 2026

21views this month

ChatTTS logo

ChatTTS

2noise/ChatTTS

★ 40kpushed Apr 10, 2026
vs
whisper logo

whisper

openai/whisper

★ 109kpushed Aug 31, 2026

Trust & integrity

SignalChatTTSwhisper
Maintenance
Slowing (160d since push)
As of Sep 18, 2026 · github_public_v1
Active (17d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No published findings from this source as of 2026-09-18
As of Sep 18, 2026 · 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

ChatTTS
A generative speech model for daily dialogue.
whisper
Robust Speech Recognition via Large-Scale Weak Supervision

Stars

ChatTTS
40k
whisper
109k

Forks

ChatTTS
4.3k
whisper
13k

Open issues

ChatTTS
60
whisper
149

Language

ChatTTS
Python
whisper
Python

Adopt for

ChatTTS
ChatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities.
whisper
Whisper is a speech recognition model that uses large-scale weak supervision to transcribe audio to text with high accuracy.

Persona

ChatTTS
-
whisper
-

Runtime

ChatTTS
-
whisper
-

License

ChatTTS
AGPL-3.0
whisper
Whisper is released under the MIT License, allowing for broad use and modification.

Last pushed

ChatTTS
Apr 10, 2026
whisper
Aug 31, 2026

Categories

ChatTTS
LLM Frameworks, Speech & Audio
whisper
Speech & Audio

Trust and health

Maintenance

ChatTTS
Slowing (36%)
whisper
Active (82%)

Days since push

ChatTTS
160d
whisper
17d

Open issues (now)

ChatTTS
60
whisper
149

Stars delta

ChatTTS
+82 (30d)
whisper
+2.6k (30d)

Open issues delta

ChatTTS
0 (30d)
whisper
+14 (30d)

OSV dependency advisories

ChatTTS
Published findings
whisper
No published findings from this source as of 2026-09-18

Full report

Typed relationship

ChatTTS alternative whisperWhisper and ChatTTS both deal with speech generation, though Whisper focuses on robust speech recognition while ChatTTS is a generative speech model.

Choose ChatTTS if…

  • License: ChatTTS is AGPL-3.0, whisper is MIT.
  • Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations..
  • Whisper and ChatTTS both deal with speech generation, though Whisper focuses on robust speech recognition while ChatTTS is a generative speech model.
  • Tags unique to ChatTTS: agent, chat, chatgpt, chattts.
  • Also covers LLM Frameworks.
  • When you need a tool that supports both Chinese and English for daily dialogue generation.

When NOT to use ChatTTS

  • If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly.
  • When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed.
  • If you are not comfortable with a slow installation process, as noted in the repository documentation.

Choose whisper if…

  • License: whisper is MIT, ChatTTS is AGPL-3.0.
  • Requirements: Whisper requires Python and specific dependencies for running the model..
  • Whisper and ChatTTS both deal with speech generation, though Whisper focuses on robust speech recognition while ChatTTS is a generative speech model.
  • Tags unique to whisper: audio transcription, mit license, python, speech recognition.
  • When you need a tool that leverages large-scale weak supervision for robust speech recognition.

When NOT to use whisper

  • If your project requires real-time speech recognition, as Whisper may not be optimized for low-latency applications.
  • When you need a tool that supports a wide range of languages beyond those covered by Whisper's model.

Explore

Sources

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

GitHub stars on cards: ChatTTS 40k · whisper 109k (synced Sep 20, 2026).

Common questions

What is the difference between ChatTTS and whisper?
ChatTTS: A generative speech model for daily dialogue.. whisper: Robust Speech Recognition via Large-Scale Weak Supervision. See the comparison table for live GitHub stats and shared categories.
When should I choose ChatTTS over whisper?
Choose ChatTTS over whisper when License: ChatTTS is AGPL-3.0, whisper is MIT; Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.; Whisper and ChatTTS both deal with speech generation, though Whisper focuses on robust speech recognition while ChatTTS is a generative speech model; Tags unique to ChatTTS: agent, chat, chatgpt, chattts; Also covers LLM Frameworks; When you need a tool that supports both Chinese and English for daily dialogue generation.
When should I choose whisper over ChatTTS?
Choose whisper over ChatTTS when License: whisper is MIT, ChatTTS is AGPL-3.0; Requirements: Whisper requires Python and specific dependencies for running the model.; Whisper and ChatTTS both deal with speech generation, though Whisper focuses on robust speech recognition while ChatTTS is a generative speech model; Tags unique to whisper: audio transcription, mit license, python, speech recognition; When you need a tool that leverages large-scale weak supervision for robust speech recognition.
When should I avoid ChatTTS?
If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly. When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed. If you are not comfortable with a slow installation process, as noted in the repository documentation.
When should I avoid whisper?
If your project requires real-time speech recognition, as Whisper may not be optimized for low-latency applications. When you need a tool that supports a wide range of languages beyond those covered by Whisper's model.
Is ChatTTS or whisper more popular on GitHub?
whisper has more GitHub stars (109,313 vs 39,850). Stars measure visibility, not whether either tool fits your constraints.
Are ChatTTS and whisper open source?
Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, whisper: MIT).
Where can I find alternatives to ChatTTS or whisper?
GraphCanon lists graph-backed alternatives at ChatTTS alternatives and whisper alternatives (ChatTTS markdown twin, whisper 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, ChatTTS or whisper?
ChatTTS: Slowing. whisper: 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 ChatTTS and whisper?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; whisper trust report.

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