Dejavu

Audio fingerprinting and recognition library.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

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

Strength Radar

High accuracy in…Supports various…Flexible configu…

Honest assessment

Strengths & Weaknesses

↑ Strengths

High accuracy in audio recognition

Supports various audio formats and databases

Flexible configuration options for different use cases

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

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with Dejavu

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

View Setup Guide →