FakeFLAC Detector
Scan your local music library for lossy files masquerading as lossless FLAC
- Problem
- The poster describes an 'epidemic of fake .flac files' — lossy audio masquerading as true lossless — that ordinary tools cannot identify. The original Python implementation was single-threaded and slow, forcing a rewrite in Go with multithreading. For average music collectors, there is no simple, reliable way to batch-detect and flag these fake files.
- Solution
- A cross-platform desktop tool that batch-scans music folders and detects whether a FLAC is truly lossless using spectral, bitrate, and encoder signature analysis. It shows results with confidence, offers one-click move/flag of fake files, supports whitelisting false positives, and exports reports.
- Users
- Local music collectors, lossless audio enthusiasts, library organizers, DJs, audio archivists
- MVP
- Scan selected folders and flag suspicious FLACs; show spectral screenshot or quantitative metric; highlight results by confidence; batch-move to quarantine folder; export CSV report
- Revenue
- Free basic version + one-time paid Pro (batch scan, export, scripting, CLI); or affiliate sponsorship on audio tool sites
- Why now
- Local high-quality audio is seeing renewed interest, yet fake lossless files remain widespread and lack an easy desktop solution. Go/Rust ecosystems make high-performance audio analysis feasible as a solo weekend project.