How I built a browser-side background remover (and benchmarked Canvas vs WebAssembly)

Short summary

Developer benchmarked two browser-based background removal approaches: Canvas API (12–18ms, uniform backgrounds only) vs WebAssembly + ML model (180–220ms, handles complex backgrounds). Tested on 500 product images with working code, performance metrics, and practical trade-offs. Hybrid solution runs entirely client-side, averaging 40ms per image.

• •Canvas API: fast (12-18ms) but limited to uniform backgrounds; no dependencies
• •WebAssembly approach: slower (180-220ms) but handles complex backgrounds, hair, and fur
• •Hybrid solution uses Canvas first, falls back to ML model for non-uniform backgrounds (40ms average)

Generated with AI, which can make mistakes.