Home 📄 Image to Text (OCR) 🔄 Image Converter About
🔍 OCR

Extract Text from Image Free

Upload any JPG, PNG, WEBP or BMP image and instantly extract all readable text. Editable output, download as TXT or DOC. Zero uploads — runs 100% in your browser.

📄 Open Image to Text Tool →

How to Extract Text from an Image

Three simple steps — no software required

01

Upload Your Image

Drag & drop or click to select a JPG, PNG, WEBP or BMP image. You can upload multiple images at once for bulk extraction.

→
02

Choose Language & Run OCR

Select the text language from 14 options, then click "Start OCR". The Tesseract engine processes each image sequentially in your browser.

→
03

Copy or Download

Edit the extracted text if needed, then copy to clipboard or download as a .txt or .doc file.

Frequently Asked Questions

OCR (Optical Character Recognition) analyses an image pixel-by-pixel and identifies patterns that match known character shapes. This tool uses Tesseract.js — a full OCR engine compiled to WebAssembly — to recognise text in 40+ languages entirely in your browser.
JPG, PNG, WEBP, BMP, TIFF, and GIF are all supported. For best results, use high-contrast images with dark text on a light background at 150 DPI or higher.
Tesseract.js supports 40+ languages including English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Arabic, Hindi, Russian, and Korean. Select your language before running for best accuracy.
Accuracy depends on image quality. Clean, printed text on white paper at 300 DPI typically achieves 95%+ accuracy. Handwriting, decorative fonts, low-contrast images, and skewed text reduce accuracy significantly.
Yes. Screenshots of documents, emails, websites, or any text-on-screen image work well. Make sure the text is at least 12px in the screenshot for reliable recognition.
No. Tesseract.js runs entirely in your browser as a WebAssembly module. Your image is never sent to any server — all OCR computation happens locally on your device.
📄 Try Free OCR Tool →

Tips for best OCR accuracy

  • Use high resolution — Images at 300 DPI with at least 12px font size give the best results.
  • High contrast — Black text on white background is ideal. Low contrast (grey on grey) reduces accuracy significantly.
  • Avoid skew — Straighten tilted or rotated documents before OCR for much better accuracy.
  • Select the correct language — Choosing the right language model dramatically improves character recognition.
  • Printed over handwritten — OCR is highly accurate for printed/typed text. Handwriting recognition is inherently less reliable.

Extract Text from Image (OCR) – Convert Photos to Editable Text

OCR (Optical Character Recognition) is the technology that reads text in images and converts it to editable, copyable, searchable characters. It's used whenever you have text trapped in an image format — a scanned receipt, a photo of a whiteboard, a screenshot of a document, or a picture of a street sign — and you need that text in a digital, editable form.

This tool uses Tesseract.js, the JavaScript port of Google's open-source Tesseract OCR engine, running directly in your browser. When you upload a photo, Tesseract analyzes the image pixel by pixel, identifies character shapes using trained language models, and outputs recognized text. Supports English and dozens of other languages. Processing is 100% client-side — your image is never sent to any server.

  • Best for — Scanned documents, receipts, whiteboards, screenshots, business cards, menus
  • Tips for accuracy — High contrast, horizontal text, and 300+ DPI images produce the best results
  • Privacy — Your image and extracted text never leave your browser. Useful for confidential documents.

Related Tools

🔎 Metadata Viewer 📦 Image Compressor 📝 PDF to Word