Image to Text (OCR)
Extract text from any image in 14 languages — English, Hindi, Marathi, Tamil, Telugu, Bengali, and more. Runs entirely in your browser using Tesseract.js.
In-browser OCR with multi-language support
OCR (Optical Character Recognition) extracts machine-readable text from images. This tool uses Tesseract.js — a WebAssembly port of Google's open-source Tesseract OCR engine, which runs entirely on your device. Pick your language, drop an image, get the text in seconds.
Common uses: extracting text from screenshots and shared photos, digitising printed documents and signage, copying text from images on websites where right-click is disabled, scanning supplier invoices and shipping labels, capturing book passages, parsing business cards. For Indian users, full support for Hindi, Marathi, Tamil, Telugu, Bengali, Gujarati, Kannada, Malayalam, and Punjabi.
Accuracy depends heavily on input quality. Clean, well-lit photos of printed text typically yield 95%+ accuracy. Handwriting, decorative fonts, low contrast, or angled photos drop accuracy noticeably — pre-process your image (crop tight, increase contrast) for best results.
Frequently asked questions
How does the OCR work?▼
We use Tesseract.js — a WebAssembly port of Google's open-source Tesseract OCR engine. It runs entirely in your browser. The first time you pick a language, ~10MB of language data downloads from a CDN and gets cached locally; subsequent uses are instant.
What languages are supported?▼
14 commonly-needed languages: English, Hindi, Marathi, Tamil, Telugu, Bengali, Gujarati, Kannada, Malayalam, Punjabi, Arabic, Chinese, Spanish, French. Tesseract supports 100+ languages total — if you need one not listed, contact us.
How accurate is it?▼
For clear, high-resolution text on a plain background (printed documents, screenshots, signage), accuracy is typically 95%+. For low-quality photos (handwriting, blurry text, complex backgrounds, photos at an angle), accuracy drops. Pre-processing tips: crop tight around the text, ensure good contrast (black on white works best), avoid skewed angles. Handwriting recognition is inherently lower-accuracy than printed text.
Is the photo uploaded?▼
No — runs entirely in your browser. Verifiable in DevTools → Network: the only requests are the one-time language data download from a CDN. Your image is never sent anywhere.
What can I extract text from?▼
Shipping labels, supplier invoices, business cards, screenshots, photos of paperwork, signage, books, scanned documents, product packaging, receipts, ID cards (visible text only — not the chip data), restaurant menus, anything with printed text.
Can I extract text from PDFs?▼
Not directly — this tool processes images. For text-based PDFs, use the Text to PDF / PDF to Text tools (no OCR needed since the text is already encoded). For scanned PDFs (image-only), first convert pages to images using PDF to Images, then run each image through this tool.
Is there a watermark or signup?▼
No. Free, no signup, no watermark, no per-day limit.