๐ง AI in Content CreationMay 3, 2026โ
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 --previewOutput:
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()Community
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Details
- Tool Name
- ai_music_looper
- Category
- AI in Content Creation
- Generated
- May 3, 2026
- Tests
- Passing โ
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