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
Trust & integrity
| Signal | ChatTTS | whisper |
|---|---|---|
| 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
- ChatTTS
- Trust report
- whisper
- Trust report
Typed relationship
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 (2noise/ChatTTS) · observed Sep 20, 2026
- GitHub forks (2noise/ChatTTS) · observed Sep 20, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (openai/whisper) · observed Sep 20, 2026
- GitHub forks (openai/whisper) · observed Sep 20, 2026
- Last push (openai/whisper) · observed Aug 31, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
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.