Image to Text (OCR) - Free Online Tool | PivaBox

Extract text from images using browser-based OCR

Image to Text (OCR) — Extract Text from Images Using Optical Character Recognition

  1. Upload an image containing text — a scanned document, photo of a sign, screenshot, or any image with readable text. The tool accepts PNG, JPEG, WebP, and other common image formats.
  2. The OCR engine (Tesseract.js) analyzes your image, identifies text regions, and extracts the characters. The first run downloads the language data (~5MB), after which subsequent OCR operations are instant.
  3. Review and copy the extracted text. For best results, use images with clear, well-lit text at reasonable resolution. The tool supports multiple languages — select the appropriate language for better accuracy.

Frequently Asked Questions

Is the OCR / Image to Text tool free?

Yes, completely free. There are no page limits, no subscription fees, and no account requirements. Extract text from as many images as you need.

Are my images uploaded to any server?

No. All OCR processing runs entirely in your browser using Tesseract.js (compiled to WebAssembly). Your images and the extracted text never leave your device — important for confidential documents, IDs, medical records, or proprietary content.

How can I get the best OCR accuracy and what types of images work well?

For the best OCR results: (1) Use well-lit images with high contrast between text and background — black text on white/light backgrounds works best. (2) Aim for at least 200–300 DPI resolution. (3) Keep text aligned horizontally — skewed or rotated text reduces accuracy. (4) Select the correct language before processing. (5) Clean, printed fonts are recognized more accurately than handwriting or decorative scripts. (6) Remove noise, shadows, and speckles from scanned documents before processing. If your source is a multi-page PDF, use our PDF Image Extractor first to extract individual pages as images, then process them through OCR.