Comparison
whisper vs faster-whisper
Verdict
Recommended - Offers significant performance improvements.
Markdown twin · whisper alternatives · faster-whisper alternatives
GraphCanon updated Sep 20, 2026
19views this month
vs
Trust & integrity
| Signal | whisper | faster-whisper |
|---|---|---|
| Maintenance | Active (17d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (302d 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 | No published findings from this source as of 2026-09-18 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
- whisper
- Robust Speech Recognition via Large-Scale Weak Supervision
- faster-whisper
- Faster Whisper transcription with CTranslate2
Stars
- whisper
- 109k
- faster-whisper
- 25k
Forks
- whisper
- 13k
- faster-whisper
- 2.1k
Open issues
- whisper
- 149
- faster-whisper
- 323
Language
- whisper
- Python
- faster-whisper
- Python
Adopt for
- whisper
- Whisper is a speech recognition model that uses large-scale weak supervision to transcribe audio to text with high accuracy.
- faster-whisper
- Faster Whisper is a Python library for fast speech-to-text transcription using Whisper models with CTranslate2 for inference, offering an alternative to installing FFmpeg by bundling FFmpeg libraries with PyAV.
Persona
- whisper
- -
- faster-whisper
- -
Runtime
- whisper
- -
- faster-whisper
- -
License
- whisper
- Whisper is released under the MIT License, allowing for broad use and modification.
- faster-whisper
- MIT
Last pushed
- whisper
- Aug 31, 2026
- faster-whisper
- Nov 19, 2025
Categories
- whisper
- Speech & Audio
- faster-whisper
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- whisper
- Active (82%)
- faster-whisper
- Slowing (36%)
Days since push
- whisper
- 17d
- faster-whisper
- 302d
Open issues (now)
- whisper
- 149
- faster-whisper
- 323
Stars delta
- whisper
- +2.6k (30d)
- faster-whisper
- +762 (30d)
Open issues delta
- whisper
- +14 (30d)
- faster-whisper
- +8 (30d)
Full report
- whisper
- Trust report
- faster-whisper
- Trust report
Typed relationship
whisper successor faster-whisperfaster-whisper builds on Whisper to provide speed optimizations using CTranslate2.Recommended - Offers significant performance improvements.
Choose whisper if…
- Requirements: Whisper requires Python and specific dependencies for running the model..
- faster-whisper builds on Whisper to provide speed optimizations using CTranslate2.
- Tags unique to whisper: audio transcription, mit license, python, weak supervision.
- 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.
Choose faster-whisper if…
- Requirements: Requires Python 3.9 or greater..
- faster-whisper builds on Whisper to provide speed optimizations using CTranslate2.
- Tags unique to faster-whisper: deep-learning, inference, openai, quantization.
- Also covers Inference & Serving.
- When you need fast speech-to-text transcription without the need to install FFmpeg separately, as Faster Whisper bundles FFmpeg libraries with PyAV.
When NOT to use faster-whisper
- When your project strictly requires the use of FFmpeg for audio decoding, as Faster Whisper uses PyAV for this purpose.
- When you are working in an environment where Python 3.9 or greater is not available, as this is a requirement for using Faster Whisper.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (SYSTRAN/faster-whisper) · observed Sep 20, 2026
- GitHub forks (SYSTRAN/faster-whisper) · observed Sep 20, 2026
- Last push (SYSTRAN/faster-whisper) · observed Nov 19, 2025
- 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: whisper 109k · faster-whisper 25k (synced Sep 20, 2026).
Common questions
- What is the difference between whisper and faster-whisper?
- whisper: Robust Speech Recognition via Large-Scale Weak Supervision. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
- When should I choose whisper over faster-whisper?
- Choose whisper over faster-whisper when Requirements: Whisper requires Python and specific dependencies for running the model.; faster-whisper builds on Whisper to provide speed optimizations using CTranslate2; Tags unique to whisper: audio transcription, mit license, python, weak supervision; When you need a tool that leverages large-scale weak supervision for robust speech recognition.
- When should I choose faster-whisper over whisper?
- Choose faster-whisper over whisper when Requirements: Requires Python 3.9 or greater.; faster-whisper builds on Whisper to provide speed optimizations using CTranslate2; Tags unique to faster-whisper: deep-learning, inference, openai, quantization; Also covers Inference & Serving; When you need fast speech-to-text transcription without the need to install FFmpeg separately, as Faster Whisper bundles FFmpeg libraries with PyAV.
- 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.
- When should I avoid faster-whisper?
- When your project strictly requires the use of FFmpeg for audio decoding, as Faster Whisper uses PyAV for this purpose. When you are working in an environment where Python 3.9 or greater is not available, as this is a requirement for using Faster Whisper.
- Is whisper or faster-whisper more popular on GitHub?
- whisper has more GitHub stars (109,313 vs 25,451). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper and faster-whisper open source?
- Yes - both are open-source projects on GitHub (whisper: MIT, faster-whisper: MIT).
- Where can I find alternatives to whisper or faster-whisper?
- GraphCanon lists graph-backed alternatives at whisper alternatives and faster-whisper alternatives (whisper 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, whisper or faster-whisper?
- whisper: Active. 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 whisper and faster-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper trust report; faster-whisper trust report.