Home/Compare/TTS vs faster-whisper

Comparison

TTS vs faster-whisper

Verdict

Pick TTS when license: TTS is MPL-2.0, faster-whisper is MIT; pick faster-whisper when license: faster-whisper is MIT, TTS is MPL-2.0.

Markdown twin · TTS alternatives · faster-whisper alternatives

GraphCanon updated today

TTS logo

TTS

coqui-ai/TTS

46kpushed Aug 16, 2024
vs
faster-whisper logo

faster-whisper

SYSTRAN/faster-whisper

24kpushed Nov 19, 2025

Trust & integrity

SignalTTSfaster-whisper
Maintenance
Dormant (693d since push)
As of today · github_public_v1
Slowing (234d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
137 low (137 low)
As of today · osv@v1
No criticals
As of today · osv@v1

Tagline

TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
faster-whisper
Faster Whisper transcription with CTranslate2

Stars

TTS
46k
faster-whisper
24k

Forks

TTS
6.2k
faster-whisper
2.0k

Open issues

TTS
4
faster-whisper
311

Language

TTS
Python
faster-whisper
Python

Adopt for

TTS
-
faster-whisper
A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.

Persona

TTS
-
faster-whisper
-

Runtime

TTS
-
faster-whisper
-

License

TTS
MPL-2.0
faster-whisper
MIT

Last pushed

TTS
Aug 16, 2024
faster-whisper
Nov 19, 2025

Categories

TTS
Inference & Serving, Model Training, Speech & Audio
faster-whisper
Inference & Serving, Speech & Audio

Trust and health

Maintenance

TTS
Dormant (18%)
faster-whisper
Slowing (36%)

Days since push

TTS
693d
faster-whisper
234d

Open issues (now)

TTS
4
faster-whisper
311

Security scan

TTS
137 low (137 low)
faster-whisper
No criticals

Full report

faster-whisper
Trust report

Shared compatibility

  • Python · TTS: Python runtime · faster-whisper: Python runtime

Choose TTS if…

  • License: TTS is MPL-2.0, faster-whisper is MIT.
  • Tags unique to TTS: glow-tts, hifigan, melgan, multi-speaker-tts.
  • Also covers Model Training.
  • TTS ships Docker support for self-hosted deployment.

When NOT to use TTS

  • Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose faster-whisper if…

  • License: faster-whisper is MIT, TTS is MPL-2.0.
  • Requirements: Requires Python 3.9 or higher.
  • Tags unique to faster-whisper: inference, openai, quantization, speech-recognition.
  • A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.

When NOT to use faster-whisper

  • * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV.
  • * In environments where additional dependencies from PyAV may introduce complexity or issues.

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 · faster-whisper 24k (synced Jul 11, 2026).

Common questions

What is the difference between TTS and faster-whisper?
TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
When should I choose TTS over faster-whisper?
Choose TTS over faster-whisper when License: TTS is MPL-2.0, faster-whisper is MIT; Tags unique to TTS: glow-tts, hifigan, melgan, multi-speaker-tts; Also covers Model Training; TTS ships Docker support for self-hosted deployment.
When should I choose faster-whisper over TTS?
Choose faster-whisper over TTS when License: faster-whisper is MIT, TTS is MPL-2.0; Requirements: Requires Python 3.9 or higher; Tags unique to faster-whisper: inference, openai, quantization, speech-recognition; A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
When should I avoid TTS?
Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid faster-whisper?
* When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. * In environments where additional dependencies from PyAV may introduce complexity or issues.
Is TTS or faster-whisper more popular on GitHub?
TTS has more GitHub stars (45,737 vs 24,214). Stars measure visibility, not whether either tool fits your constraints.
Are TTS and faster-whisper open source?
Yes - both are open-source projects on GitHub (TTS: MPL-2.0, faster-whisper: MIT).
Where can I find alternatives to TTS or faster-whisper?
GraphCanon lists graph-backed alternatives at TTS alternatives and faster-whisper alternatives (TTS markdown twin, faster-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, TTS or faster-whisper?
TTS: Dormant. faster-whisper: 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 faster-whisper?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; faster-whisper trust report.