Detect if audio files were previously lossy-encoded and surface encoding artifacts

Detect if audio files were previously lossy-encoded and surface encoding artifacts targets a $1.2B = 60,000 organizations × $20K average annual spend on audio QA, tooling and archiving processes total addressable market with low saturation and a year-over-year growth rate of 8% YoY — growth of audio content creation, podcasting and digital archiving (source: combined data from Statista and Grand View Research on audio production and digital archiving markets).

Key trends driving demand: Explosion of podcast and user-generated audio — more published audio increases the need for automated quality and provenance checks, creating a steady demand channel.; Large-scale digitization of archives — institutions digitizing legacy catalogs need automated tools to validate 'lossless' claims at scale, which opens recurring revenue opportunities.; Tooling moves to APIs and pipelines — teams prefer automated integration over manual GUI tools, making an API/CLI product more attractive for operational use.; Advances in machine listening and signal processing — improved ML and DSP techniques make reliable automated detection of encoding traces more practical now than before..