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CONVERTCRAFT V3.0: THE NEXT GENERATION

Premium. Private. Pure Performance.

Experience Sub-2s processing speeds with our brand-new V3.0 engine. We've rebuilt everything to give you a Prime Experience where your files never leave your device.

WHY WE ARE DIFFERENT:

  • WASM Powered: Every conversion runs locally on your hardware.
  • Absolute Privacy: Your files are yours. No cloud, no tracking, no compromises.
  • Built for You: We've scaled this platform entirely out-of-pocket for a global creator community.

KEEP THE MISSION ALIVE: 🛡️

Running this infrastructure at this scale costs serious money. We don't sell your data, and we don't run annoying ads. We rely solely on users like you.

If ConvertCraft saved you time or kept your data safe today, help us keep it free and private for everyone.

[ SPEED: INSTANT ][ SWITCH: <100ms ][ LOAD: <2 SEC ]PRIVACY: 100%All systems OK

❤️ Support Our Mission / Donate

💎 Support the Mission ($4.99/mo)☕ One-time Donation

Every dollar keeps another 1,000 users private.

Guide

Image to Text Online — Free OCR in Your Browser

Extract text from any image without uploading it. Our browser-based OCR tool works entirely client-side — fast, private, and completely free.

Optical Character Recognition (OCR) lets you extract editable text from images — scanned documents, screenshots, photos of whiteboards, or receipts. Traditional OCR services upload your image to a cloud server for processing, which is a deal-breaker for sensitive documents.

ConvertCraft runs OCR entirely in your browser using Tesseract.js, a WebAssembly port of the industry-standard Tesseract OCR engine. Your images stay on your device at all times.

To extract text: 1) Open the Image to Text tool. 2) Drop an image file (PNG, JPG, WebP, TIFF, BMP). 3) Select the language(s) present in the image. 4) Click Extract and copy or download the recognized text.

The tool supports over 100 languages including English, Spanish, French, German, Arabic, Chinese, Japanese, and Korean. For best results, use clear images with good contrast and standard fonts.

OCR accuracy depends on image quality. Scanned documents at 300 DPI typically achieve 95%+ accuracy. Photos of printed text with good lighting also work well. Handwritten text recognition is experimental but improving.