whisperX

Automatic Speech Recognition with Word-level Timestamps and Diarization

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is whisperX?

WhisperX is an advanced Automatic Speech Recognition library that provides word-level timestamps and speaker diarization, making it ideal for detailed audio analysis in various applications.

Key differentiator

WhisperX stands out with its ability to provide both word-level timestamps and speaker diarization, making it uniquely suited for applications requiring detailed audio analysis.

Capability profile

Strength Radar

Word-level times…Speaker diarizat…High accuracy in…Open-source and …

Honest assessment

Strengths & Weaknesses

↑ Strengths

Word-level timestamps for precise audio analysis

Speaker diarization to identify different speakers in an audio file

High accuracy in speech recognition tasks

Open-source and community-driven development

Fit analysis

Who is it for?

✓ Best for

Developers working on projects that require detailed transcription and speaker differentiation in audio files

Content creators who need automated captioning for their videos with accurate timestamps

Research teams analyzing speech patterns or conducting voice-based studies

✕ Not a fit for

Projects requiring real-time processing of live streams due to its batch-processing nature

Applications that require extremely low latency in response time, as WhisperX is optimized for accuracy over speed

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with whisperX

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →