🔠Image to Text (OCR)

Extract text from images and screenshots, on your device

Text arrives as pictures all day: a supplier's price list photographed in a warehouse, a WhatsApp screenshot of a customer's address, a competitor listing you want to quote, an Urdu invoice or an Arabic product label. Retyping is slow and error-prone. Image to Text (OCR) reads the text out of the image with Tesseract running entirely in your browser and lets you copy it or save a TXT file. Nothing is sent to a cloud OCR service.

How it works

1. Drop one image or a batch. Screenshots, phone photos and scans all work; PNG and JPG are best.
2. Choose the language of the text: English, Urdu, Arabic, Hindi or Chinese. Pick two if the image mixes scripts, for example English and Urdu on a Pakistani invoice.
3. The first time you use a language, its recognition pack (a few megabytes) is downloaded from this site and cached by your browser. After that it works offline.
4. Click Extract. A progress bar shows each image being processed in a Web Worker, so the page stays usable.
5. Review the text in the editable panel next to the image, then Copy or Export TXT. Batches export one TXT per image or one combined file.

Why it matters

• OCR accuracy depends on resolution. Tesseract works best when letters are at least 20 px tall; on a phone photo that means shooting close enough that a line of text spans a good part of the frame. A 1080p screenshot of a listing is usually ideal.
• Right-to-left scripts are handled by the Urdu and Arabic packs, which recognise printed text in common fonts. Handwriting is not supported by any pack.
• Sellers use it to move data out of images and into spreadsheets: 200 SKU codes from a photographed catalogue, product descriptions from a manufacturer's PDF page, or addresses from order screenshots, without retyping.
• Because it runs on-device, customer data in order screenshots never leaves your machine, which matters under the buyer-information rules on Amazon and other marketplaces.

Tips

• Run document photos through the Document Scanner first. A straightened, black and white page can double OCR accuracy compared with a raw photo.
• Crop to the text you need. Backgrounds, logos and product photos confuse layout detection and add junk to the output.
• If a PDF holds the text, split it into 300 DPI page images with Image to PDF / PDF to Images and OCR those.
• Check digits carefully. OCR confuses 0 and O, 1 and l, 5 and S, especially in SKUs; a quick find and replace usually fixes a whole batch.
• An extracted URL or message can go straight into the QR Code Generator for packaging inserts.

Privacy

Your images never leave your browser and OCR runs on-device. The language packs are served from this site, the recognition happens in a Web Worker on your computer or phone, and the text you extract is never transmitted anywhere.