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Audio Fingerprint Generator

Generate an acoustic fingerprint of an audio file

Downmixes and downsamples audio, then hashes the raw PCM stream to create a stable fingerprint for matching.

Click to upload file or drag and drop file here

Maximum file size: 200MB Supported formats: audio/*

Key Facts

Category
Media
Input Types
file, text
Output Type
json
Sample Coverage
4
API Ready
Yes

Overview

The Audio Fingerprint Generator creates a unique acoustic fingerprint from an audio file by downmixing to mono, downsampling, and hashing the raw PCM stream. This fingerprint serves as a stable identifier for audio matching and analysis tasks.

When to Use

  • •When you need to identify duplicate or similar audio files in a large collection.
  • •For audio analysis where a compact representation of sound is required, such as in media libraries.
  • •To generate fingerprints for audio matching applications like music recognition or copyright detection.

How It Works

  • •Upload an audio file in a supported format via the audio file input.
  • •The tool downmixes the audio to mono and downsamples it to a standard rate.
  • •It hashes the raw PCM stream to produce a unique fingerprint.
  • •The result is returned as a JSON object containing the fingerprint data.

Use Cases

Deduplicating audio files in a music library to save storage and organize collections.
Identifying audio content in user-generated media for moderation or compliance purposes.
Building a music recognition service by comparing fingerprints against a database of known tracks.

Examples

1. Identifying Duplicate Tracks in a Music Collection

Music Librarian
Background
A music librarian manages a large archive of audio files and suspects there are duplicate tracks taking up space.
Problem
Manually comparing audio files is time-consuming and prone to errors, especially with similar-sounding tracks.
How to Use
Upload each audio file to generate fingerprints, then compare the JSON outputs to find exact matches based on fingerprint similarity.
Example Config
Set analysisSeconds to 60 for faster processing of shorter audio clips.
Outcome
Duplicates are accurately identified, allowing the librarian to remove redundant files and optimize storage.

2. Audio Content Detection for Copyright Compliance

Background
A streaming platform needs to detect copyrighted audio in user-uploaded content to avoid legal issues.
Problem
Without automated detection, manually reviewing uploads for copyright infringement is inefficient and unreliable.
How to Use
Generate fingerprints for uploaded audio files and compare them against a database of copyrighted material fingerprints.
Outcome
Potential copyright violations are flagged automatically, enabling quick review and ensuring platform compliance.

Try with Samples

audio, hash, file
Copyright-Free AAC Audio Samples
High-quality AAC encoded audio samples for testing and development, featuring nature sounds and meditation music with excellent compression
title token audio
audio
Copyright-Free MP3 Audio Samples
Collection of royalty-free audio samples for testing and development purposes including nature sounds, meditation music, and ambient audio
title token audio
audio
Copyright-Free WAV Audio Samples
Uncompressed PCM WAV audio samples for testing and development, mirrored from MP3 set with nature sounds and meditation music
title token audio
audio
Copyright-Free OGG Vorbis Audio Samples
Open-source OGG Vorbis audio samples for testing and development, featuring excellent compression with nature sounds and meditation music
title token audio
audio

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FAQ

What is an audio fingerprint?

An audio fingerprint is a condensed digital summary of an audio signal, used to identify or match audio content based on its acoustic properties.

What audio formats are supported?

The tool supports common audio formats like MP3, WAV, FLAC, and others through the audio file input.

How long does the analysis take?

Analysis time depends on the file size and the analysis seconds setting; it processes the first 120 seconds by default for efficiency.

Is the fingerprint unique for each audio file?

Fingerprints are designed to be robust and unique for distinct audio, but identical audio files will produce matching fingerprints.

Can I analyze more than 120 seconds of audio?

Yes, you can adjust the analysis seconds parameter to analyze a longer portion of the audio file, up to the file's duration.

API Documentation

Request Endpoint

POST /en/api/tools/audio-fingerprint-generator

Request Parameters

Parameter Name Type Required Description
audioFile file (Upload required) Yes -
analysisSeconds text No -

File type parameters need to be uploaded first via POST /upload/audio-fingerprint-generator to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-audio-fingerprint-generator": {
      "name": "audio-fingerprint-generator",
      "description": "Generate an acoustic fingerprint of an audio file",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=audio-fingerprint-generator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]