Delete duplicate photos quickly — client-side perceptual hashing in browser

Delete duplicate photos quickly — client-side perceptual hashing in browser targets a $10.2B = 300M paid consumers x $24 ARPU + 2M pros/SMBs x $1,500 ACV (global photo-management & DAM adjacent spend) total addressable market with medium saturation and a year-over-year growth rate of 15-25% (consumer cloud storage & DAM segments growing with smartphone use and digital content creation).

Key trends driving demand: Smartphone-photo explosion -- billions of new images per year increases duplicate/near-duplicate prevalence and user pain from clutter; Privacy-first tooling -- users and enterprises prefer local processing to avoid uploading sensitive images, creating demand for client-side solutions; WASM + client ML -- browser and on-device compute advances make sophisticated image hashing and clustering performant without native installs; Freemium monetization acceptance -- consumers are accustomed to freemium tools for photo cleanup with a small paid upgrade rate; Professional DAM needs -- agencies and photo pros need scalable dedupe integrated into asset pipelines, creating B2B upsell paths.