Built a background removal tool that loads a ~40MB segmentation model
into the browser via WASM/WebGPU and runs inference client-side.
No upload step, no API call, no queue. Drop an image, get the result
in 2-3 seconds. No per-image charges because there's no server doing
the work.
The same cached model powers 6 derivative tools — background changer,
passport photo maker, product photo whitener, portrait blur, sticker
maker — each just different post-processing on the same mask output.
No upload step, no API call, no queue. Drop an image, get the result in 2-3 seconds. No per-image charges because there's no server doing the work.
The same cached model powers 6 derivative tools — background changer, passport photo maker, product photo whitener, portrait blur, sticker maker — each just different post-processing on the same mask output.