Music analysis 2026 Rank: #2278

Find Genre ✓

Instantly detect any song's genre, BPM, and key.

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Verdict

A quick read before you dig into the full page.

Best if
Instantly detect any song's genre, BPM, and key
Skip if
Limited integration: YouTube, SoundCloud
Pick this when
Analyzes song files

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Overview

FindGenre is a tool designed to analyze and identify the genre of music tracks. It works on the principle of AI-driven audio analysis, examining either a song file or a track via a YouTube or SoundCloud link.

The analysis provides a ranked result of potential music genres, accompanied by confidence percentages for each identified genre. An optional feature is the analysis of additional audio attributes such as the Beat Per Minute (BPM), key, loudness (RMS & LUFS), spectral shape, dynamic range, and others.

The tool also stores a saved history for each track that it has processed. The underlying mechanics of FindGenre involve the application of a trained neural network that assesses short segments of the music track, in order to provide users with a level of confidence in each 'what's my music genre' result.

The audio files supported for upload include MP3, WAV, FLAC, M4A, OGG among others. This tool is quite accessible as users can begin detecting the genre of their music instantly after signing in.

Find Genre website

Access & connections

Where you can use Find Genre.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Audio

Output

  • Text

Pros & cons

Pros

  • Analyzes song files
  • Works with YouTube links
  • Works with SoundCloud links
  • Provides ranked genre results
  • Confidence percentages for genres
  • Analyzes multiple audio attributes
  • Detects Beats Per Minute (BPM)
  • Detects key
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  • Measure loudness (RMS & LUFS)
  • Analyzes spectral shape
  • Analyzes dynamic range
  • Stores processing history
  • Uses trained neural networks
  • Assesses short song segments
  • Supports MP3 for upload
  • Supports WAV for upload
  • Supports FLAC for upload
  • Supports M4A for upload
  • Supports OGG for upload
  • Instant genre detection post-login
  • Precise BPM detection
  • Precise Key Detection
  • Advanced loudness measurement
  • Detailed spectral shape analysis
  • In-depth dynamic range analysis
  • Instant Detection
  • Integrated Soundcloud
  • Integrated Youtube
  • Allows audio file upload
  • Direct from Youtube analysis
  • Direct from Soundcloud analysis
  • History of past analyses
  • Confidence level with genres
  • Detection of tempo confidence
  • Interface for easy use
  • Supports common audio files
  • Confidence in genre results
  • Processessing in short chunks
  • Saves analyzed track details
  • Scores track with neural network
  • Tracks processed available for review

Cons

  • No offline mode
  • Limited file formats
  • No batch processing
  • Analysis dependent on internet speed
  • Confidence percentages may vary
  • Optional audio features add time
  • SignIn mandatory for usage
  • Requires token purchase for analysis
Show 2 more
  • History reliant on account usage
  • Limited integration: YouTube, SoundCloud

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Releases 1

Initial release July 10, 2026 Current
Initial release of Find Genre.

FAQ 12

What is FindGenre?
FindGenre is an AI-driven tool designed to analyze and identify the genre of music tracks. It examines either a song file or a track via a YouTube or SoundCloud link, providing a ranked result of potential music genres along with confidence percentages for each identified genre. It also stores a saved history for each track it has processed.
How does FindGenre work?
FindGenre works by examining either a song file or a track via a YouTube or SoundCloud link. Its mechanics involves the use of a trained neural network that assesses short segments of the music track. The neural network will then provide ranked results of potential music genres and confidence percentages for each identified genre.
What audio file formats does FindGenre support?
FindGenre supports a variety of audio file formats for upload, which include MP3, WAV, FLAC, M4A, OGG among others.
Does FindGenre analyze music from YouTube or SoundCloud links?
Yes, FindGenre is capable of analyzing music from YouTube or SoundCloud links. Users can simply paste the link onto the platform, and FindGenre will perform the genre identification.
What additional audio attributes can FindGenre analyze?
FindGenre is capable of analyzing additional audio attributes such as the Beat Per Minute (BPM), key, loudness (RMS & LUFS), spectral shape, dynamic range, and others.
What does it mean by 'confidence percentages' in FindGenre?
In FindGenre, 'confidence percentages' refer to the level of assurance the AI-driven tool provides about the identified genres for a piece of music. The higher the confidence percentage, the more likely that particular genre is correct.
How can I access my analyzed track history on FindGenre?
To access your analyzed track history on FindGenre, simply sign into the platform. FindGenre stores a saved history for each track you have ever processed on the platform.
Which types of neural networks does FindGenre use to analyze music?
FindGenre uses a type of AI called neural networks to analyze music. While the precise type of neural network used is not specified on their website, it's clear that the network has been trained to assess short segments of the music track for genre identification.
How quickly can I start analyzing music genres after signing in to FindGenre?
Users can start analyzing music genres on FindGenre instantly after signing in. The platform prides itself on immediate processing upon login.
Will FindGenre be able to identify the BPM and key of a song?
Yes, FindGenre is capable of identifying the BPM (Beat Per Minute) and key of a song, as part of its analysis of additional audio attributes.
How does FindGenre measure loudness?
FindGenre measures loudness using two scales, RMS and LUFS. These units measure how loud a piece of audio sounds to the human ear.
What is spectral shape analysis and how does FindGenre utilize it?
Spectral shape analysis is a method that examines various features (like spectral centroid, bandwidth, and roll-off) of the music track's spectral content. FindGenre uses spectral shape analysis to aid in determining the genre of the music.
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