Tan Phat Digital

Image OCR - Extract Text from Image Online

Recognize and extract text from images — supports multiple languages

Upload Image

Click to select an image

Supports JPG, PNG, WebP

Result

💡 Tip: For best results, use clear, high-contrast images with horizontal text. OCR works well with invoices, documents, books, and printed materials.

Image OCR Online Free - Extract Text from Images

Free online Image OCR tool to extract text from images with high accuracy using Tesseract.js — a leading open-source OCR engine running entirely in your browser. Supports multiple languages: English, Vietnamese, Chinese (Simplified), Japanese, and Korean. Real-time processing progress with percentage display. Copy extracted text with one click. Word and character count included. Images are never uploaded to any server — 100% private and secure.

Key Features

Extract text from images with high accuracy
Multi-language support: English, Vietnamese, Chinese, Japanese, Korean
Uses Tesseract.js — leading open-source OCR engine
Real-time processing progress with percentage
Copy result to clipboard with one click
Word and character count display
Edit extracted text directly in the textarea
Fully browser-based — no server upload
Supports JPG, PNG, WebP formats
100% free, no registration required

What is OCR and Why Extract Text from Images?

OCR (Optical Character Recognition) converts images containing text into editable, searchable digital text. It eliminates the need to manually retype content from photos, scans, and screenshots. Use cases include: digitizing paper documents and invoices without retyping, extracting text from screenshots for editing or translation, converting scanned books and articles to searchable text, reading text from whiteboard photos and handwritten notes, and processing receipts and business cards for data entry.

Benefits

  • Save time — no need to retype text from images
  • Digitize paper documents and convert to digital text
  • Make image content searchable and editable
  • Extract text for translation or further processing
  • Secure — images never uploaded to any server
  • Free and unlimited usage

How to Extract Text from Images Online

  1. 1Click the upload area to select an image containing text
  2. 2The image displays as a preview on the left
  3. 3Select the appropriate language for your image text
  4. 4Click 'Extract Text' to start OCR processing
  5. 5Watch the real-time progress percentage
  6. 6Copy the extracted text with the copy button

Tips for Best OCR Accuracy

For best results: use high-resolution images (300 DPI or higher), ensure good contrast between text and background, keep text horizontal (not rotated), use clear printed fonts rather than handwriting, avoid complex backgrounds behind text, and ensure the image is in focus. Blurry, low-contrast, or heavily stylized text will have lower accuracy. The first OCR run downloads language data (~10-15MB) which is cached for faster subsequent use.

Frequently Asked Questions

What is OCR?

OCR (Optical Character Recognition) is technology that converts images containing text (photos, scans, screenshots) into editable, copyable, and searchable text.

How accurate is the OCR?

Accuracy depends heavily on image quality. With clear, high-contrast images and standard printed fonts, accuracy can reach 95-99%. Handwriting, decorative fonts, blurry images, or complex backgrounds will have lower accuracy.

Is my image uploaded to a server?

NO. The tool uses Tesseract.js running entirely in your browser via WebAssembly. Images are never sent anywhere — 100% local processing on your machine. Completely safe for sensitive documents.

Why is the first OCR slower?

The first time you use it, Tesseract.js needs to download language data (trained models) for your selected language, about 10-15MB per language. This data is cached in the browser, so subsequent uses will be much faster.

What image types give the best results?

Printed text on a plain background works best. Ensure good contrast, horizontal orientation, and at least 300 DPI resolution. Avoid handwriting, decorative fonts, or images with complex backgrounds for best accuracy.

Related Keywords

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