Dejavu
Audio fingerprinting and recognition library.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Dejavu?
Dejavu is an open-source Python library for audio fingerprinting and recognition. It allows developers to identify songs or sounds from a given audio file, making it useful in applications like music identification services.
Key differentiator
“Dejavu stands out as an open-source Python library specifically designed for high-accuracy audio fingerprinting and recognition, offering flexible configuration options.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Performance degrades significantly with more than 5,000 songs in the database
GitHub issues have response times of over a month on average
Fit analysis
Who is it for?
✓ Best for
Developers building music recognition features in applications
Researchers analyzing audio data for patterns and classification tasks
✕ Not a fit for
Projects requiring real-time audio processing with low latency
Applications that need to support a wide range of non-audio file formats
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
Integrations
Next step
Get Started with Dejavu
Step-by-step setup guide with code examples and common gotchas.