Run This Ai
EN DE

WhisperX

Automatic speech recognition with word-level timestamps and speaker diarization

★ 22,785 GitHub BSD-2-Clause speech-recognitiontranscriptionwhisperdiarizationtimestampsasr Image & Video

Overview

WhisperX is a powerful open-source speech recognition tool that extends OpenAI's Whisper model with word-level timestamps, speaker diarization, and batched processing for significantly faster transcription. With over 22,000 GitHub stars, it combines the accuracy of Whisper with the speed of CTranslate2 (via faster-whisper) and the diarization capabilities of pyannote.audio. WhisperX aligns transcript timestamps to the word level using wav2vec2, making it ideal for applications requiring precise timing — subtitles, video editing, and audio analysis. It supports 90+ languages, handles long audio files efficiently through batched processing, and identifies who spoke when in multi-speaker recordings. The tool runs on consumer GPUs with as little as 2GB VRAM and offers Docker deployment for production use.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

Recommended VPS

Hostinger · KVM 4

4 vCPU · 16384 MB · 200 GB

$11.99
View plan

Hostinger · KVM 4

4 vCPU · 16384 MB · 200 GB

$11.99
View plan

Hostinger · KVM 8

8 vCPU · 32256 MB · 400 GB

$20.00
View plan

Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  whisperx:
    image: thomasvvugt/whisperx:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/whisperx:/data

Best VPS for WhisperX →

Related tools

Stable Diffusion WebUI

Generative image models in your browser

ComfyUI

The most powerful and modular diffusion model GUI with a graph/nodes interface for Stable Diffusion

whisper.cpp

High-performance C++ port of OpenAI Whisper for fast local speech recognition

Fooocus

AI image generator focusing on prompts and generating — a Midjourney-like experience offline

Coqui TTS

Open-source deep learning toolkit for text-to-speech, battle-tested in research and production

ChatTTS

High-quality conversational text-to-speech model optimized for natural daily dialogue

Guides & articles

WhisperX Review: Is It Worth It for Production Transcription?

After hundreds of hours of audio processed, here's our honest assessment of WhisperX's strengths, weaknesses, and whether you should deploy it.

Jun 29, 2026

WhisperX: Open-Source Speech Recognition with Word-Level Timestamps & Speaker Diarization

WhisperX combines faster-whisper, wav2vec2 alignment, and pyannote diarization into the most complete open-source transcription pipeline. Here's what makes it special.

Jun 29, 2026