Skip to main content

Turn audio into structured analysis and annotated visualizations for AI perception

Project description

sense-music

Turn audio into structured analysis and annotated visualizations for AI perception. Liner notes for an AI.

Built by humanjava.com — find this and other tools for the agentic age at huje.tools.

Install

pip install sense-music

Quick Start

from sense_music import analyze

result = analyze("song.mp3")
print(result.summary)
result.save("output/")

Full Example

from sense_music import analyze

result = analyze("song.mp3")

# Structured data
print(f"{result.bpm.tempo} BPM, {result.key.key} {result.key.mode}")
print(f"Genre: {result.genre}, Mood: {', '.join(result.mood)}")

# Sections
for s in result.sections:
    print(f"  {s.label}: {s.start:.1f}s — {s.end:.1f}s")

# Lyrics (requires whisper)
for line in result.lyrics:
    print(f"  [{line.start:.1f}s] {line.text}")

# Save everything
result.save("output/")           # spectrogram.png, waveform.png, analysis.json, analysis.html
result.render_page("song.html")  # self-contained HTML report

Skip Lyrics

If you don't have Whisper installed or want faster analysis:

result = analyze("song.mp3", lyrics=False)

What You Get

Output Description
result.spectrogram PIL Image — annotated mel spectrogram with section markers and energy curve
result.waveform PIL Image — waveform with colored section regions
result.bpm BPMInfo(tempo, confidence)
result.key KeyInfo(key, mode, confidence)
result.sections List of Section(label, start, end)
result.lyrics List of LyricLine(start, end, text)
result.energy_curve Per-second normalized energy values
result.genre Simple genre classification
result.mood List of mood descriptors
result.summary Natural language track description

Dependencies

Usage & Copyright

You are responsible for ensuring you have the legal right to analyze any audio you submit to this tool, whether running locally or via the hosted service at huje.tools. sense-music provides compute and analysis only — it does not store, host, or redistribute audio content. By using this tool, you accept full responsibility for the content you process and how you use the results.

For details, see huje.tools/support.

License

MIT — Humanjava Enterprises Inc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sense_music-0.1.3.tar.gz (18.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sense_music-0.1.3-py3-none-any.whl (17.3 kB view details)

Uploaded Python 3

File details

Details for the file sense_music-0.1.3.tar.gz.

File metadata

  • Download URL: sense_music-0.1.3.tar.gz
  • Upload date:
  • Size: 18.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for sense_music-0.1.3.tar.gz
Algorithm Hash digest
SHA256 6405e5ae36af8ab675f6388f8b0cbb6ba442ed3b5288194969fc3c5abad968b6
MD5 34acaddf5311770e5478661e0ea5546b
BLAKE2b-256 d288e47589113f7dc01f6377cb618601e9fc6f06fd994cafaeba400b6b8100b9

See more details on using hashes here.

File details

Details for the file sense_music-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: sense_music-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 17.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for sense_music-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1d3f577e684f45cb905fe0b0585cccf7fbd05564098ce62e1b26292d09bcf850
MD5 31bc01542d4f53f26c3bffca4d9129a5
BLAKE2b-256 f08c357d7a8da3942b4727b15e911a04284a61b67e1ca85c1ae2a8ed7cc9758e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page