whisperX
Automatic Speech Recognition with Word-level Timestamps and Diarization
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
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
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
Primary development and maintenance focus on Python with no official support for other languages
Processing times increase exponentially with file size, causing delays in analysis
GitHub activity shows low number of contributors and infrequent updates to documentation and examples
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
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with whisperX
Step-by-step setup guide with code examples and common gotchas.