All Toolsโ€บAI Music Looper
๐Ÿ”ง AI in Content CreationMay 3, 2026โœ… Tests passing

AI Music Looper

An AI-powered tool that analyzes a music file, identifies repetitive patterns or loops, and suggests seamless looping points. Ideal for music producers and video editors who need perfectly looping audio tracks for their projects.

What It Does

  • Analyze music files for repeating patterns.
  • Identify seamless loop points.
  • Option to preview suggested loop points.

Installation

  • Python 3.7+
  • librosa==0.10.0
  • numpy==1.26.0

Usage

python ai_music_looper.py --input track.mp3 --preview

Output:

Suggested loop points:
Start: 0.00s, End: 1.00s
Start: 1.00s, End: 2.00s
...
Previewing loops for file: track.mp3
Loop from 0.00s to 1.00s
Loop from 1.00s to 2.00s
...

Source Code

import argparse
import librosa
import numpy as np

def analyze_music(file_path):
    """
    Analyze the music file to find repeating patterns and suggest loop points.

    Args:
        file_path (str): Path to the music file.

    Returns:
        list of tuple: List of tuples containing start and end timestamps of loop points.
    """
    try:
        # Load the audio file
        y, sr = librosa.load(file_path, sr=None)

        # Compute the onset envelope
        onset_env = librosa.onset.onset_strength(y=y, sr=sr)

        # Compute the tempogram
        tempo, beats = librosa.beat.beat_track(onset_envelope=onset_env, sr=sr)

        # Convert beat frames to timestamps
        beat_times = librosa.frames_to_time(beats, sr=sr)

        # Find repeating patterns (naive approach: consecutive beats)
        loop_points = [(beat_times[i], beat_times[i + 1]) for i in range(len(beat_times) - 1)]

        return loop_points

    except Exception as e:
        raise RuntimeError(f"Error analyzing music file: {e}")

def preview_loops(file_path, loop_points):
    """
    Preview the suggested loop points by printing them.

    Args:
        file_path (str): Path to the music file.
        loop_points (list of tuple): List of start and end timestamps for loops.
    """
    print(f"Previewing loops for file: {file_path}")
    for start, end in loop_points:
        print(f"Loop from {start:.2f}s to {end:.2f}s")

def main():
    parser = argparse.ArgumentParser(description="AI Music Looper: Analyze music files for seamless loop points.")
    parser.add_argument("--input", required=True, help="Path to the input music file (e.g., WAV, MP3).")
    parser.add_argument("--preview", action="store_true", help="Preview the suggested loop points.")

    args = parser.parse_args()

    try:
        # Analyze the music file
        loop_points = analyze_music(args.input)

        # Print the loop points
        print("Suggested loop points:")
        for start, end in loop_points:
            print(f"Start: {start:.2f}s, End: {end:.2f}s")

        # Preview the loop points if requested
        if args.preview:
            preview_loops(args.input, loop_points)

    except RuntimeError as e:
        print(e)

if __name__ == "__main__":
    main()

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Details

Tool Name
ai_music_looper
Category
AI in Content Creation
Generated
May 3, 2026
Tests
Passing โœ…

Quick Install

Clone just this tool:

git clone --depth 1 --filter=blob:none --sparse \
  https://github.com/ptulin/autoaiforge.git
cd autoaiforge
git sparse-checkout set generated_tools/2026-05-03/ai_music_looper
cd generated_tools/2026-05-03/ai_music_looper
pip install -r requirements.txt 2>/dev/null || true
python ai_music_looper.py
AI Music Looper โ€” AI Tools by AutoAIForge