BPM Finder

BPM Finder is a lightweight Python package for audio BPM analysis, tap tempo, BPM conversion, and practical tempo workflow helpers. For browser-based audio BPM detection, visit https://bpm-finder.net/

What It Does

This package gives you a compact set of utilities for common tempo-related tasks in scripts, internal tools, and automation workflows:

• Analyze the BPM of a local WAV audio file
• Estimate BPM from tap timestamps or intervals
• Convert BPM to note length in milliseconds
• Normalize half-time and double-time values into a practical range
• Classify tempo into simple buckets for UI or workflow logic

The package is dependency-free and designed for straightforward command-line and library usage. Audio file analysis currently supports uncompressed WAV files.

Installation

pip install bpm-finder

CLI Usage

Analyze BPM from an audio file

bpm-finder analyze-audio ./loop.wav

Estimate BPM from tap intervals

bpm-finder tap --intervals 500,500,498,502

Convert BPM to milliseconds

Use --division 4 for quarter notes, 8 for eighth notes, and 1 for whole notes.

bpm-finder bpm-to-ms --bpm 128 --division 4

Convert milliseconds back to BPM

bpm-finder ms-to-bpm --ms 468.75 --division 4

Normalize BPM into a practical range

bpm-finder normalize --bpm 64

Get a simple tempo bucket

bpm-finder bucket --bpm 174

Library Usage

from bpm_finder import (
    analyze_audio_file,
    bpm_to_ms,
    estimate_bpm_from_taps,
    is_bpm_in_range,
    ms_to_bpm,
    normalize_bpm,
    tempo_bucket,
)

audio_bpm = analyze_audio_file("loop.wav")
tap_bpm = estimate_bpm_from_taps([0, 500, 1000, 1500, 2000])
quarter_note_ms = bpm_to_ms(128, note_division=4)
detected_bpm = ms_to_bpm(468.75, note_division=4)
normalized = normalize_bpm(64)
bucket = tempo_bucket(174)
in_range = is_bpm_in_range(128, 90, 180)

Public API

• analyze_audio_file(file_path: str, min_bpm: float = 70, max_bpm: float = 180) -> float
• bpm_to_ms(bpm: float, note_division: int = 1) -> float
• ms_to_bpm(milliseconds: float, note_division: int = 1) -> float
• normalize_bpm(bpm: float, min_bpm: float = 70, max_bpm: float = 180) -> float
• estimate_bpm_from_taps(timestamps: list[float], strategy: str = "median") -> float
• tempo_bucket(bpm: float) -> str
• is_bpm_in_range(bpm: float, low: float, high: float) -> bool

Use Cases

• Detect BPM from exported WAV loops in build scripts or content pipelines
• Build tap tempo shortcuts into DJ prep scripts
• Convert BPM to delay times in music production utilities
• Normalize BPM data from mixed sources before sorting playlists
• Add quick tempo helpers to internal music or workout tools
• Attach tempo buckets to rows in analytics or recommendation workflows

Why BPM Finder Online

This package is ideal for Python scripts, automation, and developer workflows. If you need browser-based audio BPM detection with a user-friendly interface, use BPM Finder Online at https://bpm-finder.net/

License

MIT