whisperX is by m-bain — not by us.
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Indexed Aug 3, 2026 · 23,401 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
Application · for humans & their agents
whisperX
unclaimed listingactively maintainedFreeBSD-2-Clause
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
by Open Source Community · New publisher
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
m-bain/whisperX is an open-source project by m-bain: WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization). Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/m-bain/whisperX
From the project's own README (excerpt, reproduced for discovery under its BSD-2-Clause license):
WhisperX
Recall.ai - Meeting Transcription API
If you’re looking for a transcription API for meetings, consider checking out Recall.ai's Meeting Transcription API, an API that works with Zoom, Google Meet, Microsoft Teams, and more. Recall.ai diarizes by pulling the speaker data and separate audio streams from the meeting platforms, which means 100% accurate speaker diarization with actual speaker names.
Whisper-Based Automatic Speech Recognition (ASR) with improved timestamp accuracy + quality via forced phoneme alignment and voice-activity based batching for fast inference. -->
What is it 🔎 -->
This repository provides fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization. • ⚡️ Batched inference for 70x realtime transcription using whisper large-v2 • 🪶 faster-whisper backend, requires New🚨 • 1st place at Ego4d transcription challenge 🏆 • WhisperX accepted at INTERSPEECH 2023 • v3 transcript segment-per-sentence: using nltk senttokenize for better subtitlting & better diarization • v3 released, 70x speed-up open-sourced. Using batched whisper with faster-whisper backend! • v2 released, code cleanup, imports whisper library VAD filtering is now turned on by default, as in the paper. • Paper drop🎓👨🏫! Please see our ArxiV preprint for benchmarking and details of WhisperX. We also introduce more efficient batch inference resulting in large-v2 with \60-70x REAL TIME speed.
Setup ⚙️
0. CUDA Installation
To use WhisperX with GPU acceleration, install the CUDA toolkit 12.8 before WhisperX. Skip this step if using only the CPU. • For Linux users, install the CUDA toolkit 12.8 following this guide: CUDA Installation Guide for Linux. • For Windows users,…
01Capabilities
Does
- + Audio codec
- + Voice input capture
- + Media processing
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
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Issues 0
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04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
- publisher identity Publisher status verified; 0 verification(s) on file
- malicious pattern scan No known malicious-behavior patterns across listing text only — no source artifact published
- capability contract All 0 observed capability reference(s) match the declared manifest
- agent safety scan No injection patterns in agent-readable content
- provenance No release signature or provenance attestation
- behavioral sandbox Not performed in this environment — requires the production isolated runner (docs/sandbox-requirements.md). No untrusted code is ever executed on the application host.
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Aug 3, 2026 | Indexed listing — see the upstream repository for real release history. |