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oocr.app
OCR that never leaves your browser
Paste a screenshot. Get the text and a searchable PDF. Recognition runs in WebAssembly on your machine. There is no upload path in the code. Architecturally impossible for your image to leave your device. Free, no login, no limits, offline PWA.
Top comment
Hey Product Hunt — I built OOCR because I kept seeing "free online OCR" tools where the free part meant your document was the product. OOCR is different: PP-OCRv6 (PaddleOCR) runs entirely in your browser via WebAssembly. There is no server. Open DevTools → Network during recognition — you'll see zero requests containing your image. The absence is auditable. How it works: 1. Paste a screenshot (Ctrl+V) — lands in the workspace, never transmitted 2. PP-OCRv6 draws bounding boxes over recognized text (WebGPU accelerated where available) 3. Copy the text or export a searchable PDF with an invisible, copyable text layer 4. All assembled client-side — no server, no API, no cloud Why build this? Privacy by architecture, not by policy. When a site says "we delete your files after 60 minutes," that's a promise — a setting someone can flip. When a site has no upload endpoint, there's nothing to flip. The Network tab is your proof. Technical stack: SvelteKit, ONNX Runtime Web (WebGPU preferred, WASM fallback), PP-OCRv6 (three tiers: Tiny ~4MB, Small ~10MB default, Medium ~22MB best accuracy), jsPDF for searchable PDF assembly. Self-hosted models on Cloudflare Pages. Entirely open source. Would love feedback on: accuracy expectations, mobile UX (it works on phones but the UI was designed desktop-first), and what file formats you'd want supported next.
About oocr.app on Product Hunt
“OCR that never leaves your browser”
oocr.app was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #69 on the daily leaderboard. Paste a screenshot. Get the text and a searchable PDF. Recognition runs in WebAssembly on your machine. There is no upload path in the code. Architecturally impossible for your image to leave your device. Free, no login, no limits, offline PWA.
On the analytics side, oocr.app competes within Productivity, Privacy and Developer Tools — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how oocr.app performed against the three products that launched closest to it on the same day.
Who hunted oocr.app?
oocr.app was hunted by Harrow Fung. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of oocr.app including community comment highlights and product details, visit the product overview.