GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
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.
Good fit when
- When you need fast speech-to-text transcription without the need to install FFmpeg separately, as Faster Whisper bundles FFmpeg libraries with PyAV.
- When you require a lightweight solution that simplifies the setup process by eliminating the need for external FFmpeg installation.
Avoid when
- 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.
- Requirements:
- Requires Python 3.9 or greater.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (302d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No criticals
- As of Sep 18, 2026
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Install
pip install faster-whisperHow it fits your stack(2)
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Evidence and technical details
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Overview
A Python library for fast speech-to-text transcription using Whisper models with CTranslate2 for inference.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
* Python 3.9 or greaterSource link
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README
Requirements Python 3.9 or greater Unlike openai whisper, FFmpeg does not need to be installed on the system. The audio is decoded with the Python library PyAV which bundles the FFmpeg libraries in its package. Installation The module can be installed from PyPI: <details <summary...
For agents
This page has a .md twin and JSON over the API.