Audio & Music

Dejavu

Audio fingerprinting and recognition library.

Status
UnmaintainedNo commits in 2275 days.
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

Dejavu stands out as an open-source Python library specifically designed for high-accuracy audio fingerprinting and recognition, offering flexible configuration options.

When it fits — and when it doesn’t

A good fit for

  • Developers building music recognition features in applications

  • Researchers analyzing audio data for patterns and classification tasks

Look elsewhere if

  • Projects requiring real-time audio processing with low latency

  • Applications that need to support a wide range of non-audio file formats

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited scalability for large audio datasets

    Performance degrades significantly with more than 5,000 songs in the database

  2. 02

    Small community and slow issue resolution

    GitHub issues have response times of over a month on average

What it does well

  • High accuracy in audio recognition

  • Supports various audio formats and databases

  • Flexible configuration options for different use cases

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Dejavu

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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