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Speech, vision & media

faster-whisper

Reimplements Whisper on CTranslate2 with quantization and a batching-oriented Python API.

25,668 stars

Overview

Research summary

faster-whisper runs Whisper speech recognition through the CTranslate2 inference engine. Its Python interface exposes transcription results, language information and segments, with optional word timestamps and voice activity filtering. CPU and GPU execution support different compute types, including integer quantization, while batched inference helps process multiple audio segments efficiently.

The project can load compatible hosted models or converted local checkpoints. It is an inference component for transcription services and applications rather than a complete end-user recording interface. Upstream benchmark results describe particular hardware and configurations, so deployment-specific throughput still needs measurement.

Repository summary

Stars
25,668
Open issues
Unavailable
Last push
2026-10-01
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for faster-whisper.

Implementation details

Python library backed by CTranslate2

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

SYSTRAN/faster-whisper ↗

Stars
25,668
Open issues
Unavailable
Last push
2026-10-01
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Documentation

Recorded references and research provenance for this entry.

Recorded sources 3

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06