Image to Text (OCR)

Extract text from images using OCR (Optical Character Recognition). Supports multiple languages including English, Chinese, Japanese, Korean, and more.

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PNG, JPG, WebP (max 10MB)

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Free Image to Text Converter - Extract Text from Images with OCR

Our Image to Text converter uses advanced Optical Character Recognition (OCR) technology to extract text from images with high accuracy. Whether you have scanned documents, photographs of text, screenshots, or PDFs converted to images, this tool can recognize and convert the text content into editable, searchable, and copyable format. Powered by Tesseract.js, one of the most accurate open-source OCR engines, our tool processes everything locally in your browser for maximum privacy and instant results.

Perfect for digitizing printed documents, extracting text from photographs, converting screenshots to editable text, or making image-based content accessible, this tool supports multiple languages and handles various fonts, sizes, and text orientations. All processing happens client-side in your browser, meaning your documents never leave your device - ensuring complete confidentiality for sensitive materials while providing fast, accurate text extraction.

Key Features

  • Advanced OCR Technology: Powered by Tesseract.js for industry-leading text recognition accuracy
  • Multi-Language Support: Recognizes text in multiple languages including English, Chinese, Japanese, and more
  • Browser-Based Processing: All OCR happens locally - no uploads, complete privacy
  • Real-Time Progress: Watch the OCR process in real-time with progress indicators
  • Editable Results: Extracted text is immediately editable in the results area
  • One-Click Copy: Copy all extracted text to your clipboard instantly
  • Download as Text File: Save extracted text as a .txt file for later use
  • All Image Formats: Supports PNG, JPG, JPEG, WebP, and other common image formats
  • High Accuracy: Works with printed text, handwriting (clear), and screen text

How to Extract Text from Images

  1. Upload Your Image: Click to select an image containing text, or drag and drop it into the upload area
  2. Select Language: Choose the language of the text in your image for best accuracy
  3. Start Extraction: Click "Extract Text" to begin the OCR process
  4. Monitor Progress: Watch the real-time progress bar as the OCR engine analyzes your image
  5. Review Results: See the extracted text appear in the editable results area
  6. Edit if Needed: Make any corrections to the extracted text directly in the text area
  7. Copy or Download: Use the Copy button to copy text to clipboard, or Download to save as a .txt file

Common Use Cases

  • Document Digitization: Convert scanned paper documents, receipts, and forms into editable digital text
  • Screenshot Text Extraction: Pull text from screenshots of articles, social media posts, or error messages
  • Photo Text Recognition: Extract text from photographs of signs, menus, business cards, or whiteboard notes
  • PDF to Text: Convert PDF pages (as images) to searchable, editable text format
  • Research & Study: Digitize textbook pages, academic papers, or printed research materials
  • Data Entry: Quickly extract data from printed forms, tables, or lists without manual typing
  • Accessibility: Make image-based content accessible by converting to screen-reader-friendly text
  • Translation Preparation: Extract text from images to paste into translation tools
  • Archive Conversion: Digitize old documents, letters, or historical records for preservation

Tips for Best OCR Results

  • Use High-Quality Images: Higher resolution and clearer text produce more accurate results
  • Ensure Good Contrast: Dark text on light backgrounds (or vice versa) works best
  • Avoid Skewed Images: Straighten rotated images before OCR for better accuracy
  • Select Correct Language: Choosing the right language dramatically improves recognition accuracy
  • Clean Images: Remove noise, blur, or distortions when possible
  • Standard Fonts: OCR works best with standard printed fonts; decorative fonts may reduce accuracy
  • Good Lighting: For photos, ensure even lighting without glare or shadows
  • Single Column Text: Multi-column layouts may require cropping each column separately

Understanding OCR Accuracy

OCR accuracy depends on several factors: image quality, text clarity, font type, and language complexity. Modern OCR technology like Tesseract can achieve 95%+ accuracy on high-quality scanned documents with clear, printed text. However, accuracy may decrease with handwritten text, unusual fonts, poor image quality, or complex layouts. Always review extracted text for errors, especially for important documents.

Frequently Asked Questions

Can this tool read handwritten text?

OCR technology works best with printed text. While clear, block-style handwriting may be partially recognized, cursive or messy handwriting typically produces poor results. For best accuracy, use images of printed or typed text.

Is there a limit on image size or file size?

There's no strict file size limit, but very large images may take longer to process and could slow down your browser. For best performance, use images between 1-10MB. The tool will handle standard document scans and screenshots without issue.

Are my documents sent to a server for processing?

No. All OCR processing happens entirely in your browser using JavaScript and WebAssembly. Your images never leave your device, making this tool safe for confidential documents, personal information, or sensitive materials.

Why is the OCR process slow sometimes?

OCR is computationally intensive. Processing time depends on image size, text amount, and your device's processing power. Larger images with more text take longer. First-time use may also download the OCR language files, which adds initial delay.

Can I extract text from multiple images at once?

Currently, the tool processes one image at a time. For batch processing, you'll need to upload and extract each image individually. We recommend organizing your files beforehand to streamline the workflow.

What languages are supported?

The tool supports dozens of languages including English, Chinese (Simplified and Traditional), Japanese, Korean, Spanish, French, German, Arabic, and many more. Select the appropriate language before extracting text for best results.

Can I edit the extracted text before downloading?

Yes! The results text area is fully editable. You can correct any OCR errors, add formatting, or make changes directly in the text area before copying or downloading the final text file.