Song Parser API: Parse Tracks, Metadata, and Annotations

Song Parser: Extract Lyrics & Structure Automatically

What it does

• Automatically extracts lyrics from audio files and aligns them with timestamps.
• Detects song structure (intro, verse, chorus, bridge, outro) and marks section boundaries.
• Identifies tempo changes, beat positions, and basic chord hints.
• Outputs structured formats (JSON, SRT, LRC) for use in players, editors, or websites.

Key features

• Time‑aligned lyrics: Word- or line-level timestamps for karaoke, subtitles, or lyric displays.
• Section segmentation: Labeled sections (verse, chorus, bridge, etc.) with start/end times.
• Audio analysis: Beat and tempo detection; transient and downbeat markers.
• Metadata extraction: Title, artist (if available), and track length.
• Export formats: JSON for integrations, SRT/LRC for subtitle/lyric sync, and CSV for quick inspection.
• Batch processing: Handle multiple files and return consolidated results.

Typical outputs (example JSON snippet)

json
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{
“title”: “Untitled”,
  “duration”: 215.3,
  “tempo”: 120,
  “sections”: [
    {“type”:“intro”,“start”:0.0,“end”:12.4},
    {“type”:“verse”,“start”:12.4,“end”:42.0},
    {“type”:“chorus”,“start”:42.0,“end”:62.5}
  ],
  “lyrics”: [
    {“start”:12.50,“end”:15.20,“text”:“First line of verse”},
    {“start”:15.21,“end”:18.00,“text”:“Second line of verse”}
  ]
}

Use cases

• Karaoke and synced lyrics displays.
• DAW/plugins for quick song mapping.
• Music apps that show live lyric highlights.
• Archiving and search: make lyrics and sections queryable.
• Assistive tools for musicians (practice with section repeat).

Limitations

• Accuracy depends on audio quality and vocal clarity.
• Automatic chord detection is approximate; use as a guide.
• May mislabel non‑standard song forms or spoken-word sections.

Integration tips

• Use JSON output for programmatic workflows; serve SRT/LRC to players.
• Combine with human review for production-grade lyrics and chord charts.
• Batch process during off‑peak hours if using CPU/GPU heavy models.