yossdotpro/removerized

Health v2 · maintenance only

Adoption not part of the score

1610 stars · 158 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Removerized is an open-source, browser-based AI image toolkit for background removal and image upscaling, running entirely client-side via ONNX Runtime Web. It requires no backend or uploads, caching models in IndexedDB for offline, private, on-device inference.

Use cases

• remove backgrounds from photos without uploading them to a server
• upscale low-resolution images with AI in the browser
• batch process multiple images for background removal offline
• run AI image models locally with no data collection
• use an image tool that works offline after first load

When to choose

• you need privacy-first image processing with no uploads or servers
• you want free background removal or upscaling without API costs or limits
• you need an offline-capable tool that runs entirely in the browser

When to avoid

• you need server-scale batch throughput or GPU-accelerated processing for huge volumes
• you need features beyond background removal and upscaling, like colorization or restoration (still on the roadmap)
• you require a native desktop or mobile application

Facets

application · maturity active

image-processing machine-learning browser-extension image-processing artificial-intelligence privacy web-development browser wasm background-removal image-upscaling onnx-runtime-web offline-first client-side privacy-first batch-processing indexeddb web-server

Member repositories

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markdown · JSON · MCP: product_card(name="yossdotpro/removerized")