Extract Text (OCR) Beta

What Is OCR?

Optical Character Recognition (OCR) is technology that converts images of text — whether from scanned documents, photographs, or screenshots — into machine-readable, editable text. The process involves analyzing the visual patterns in an image, recognizing character shapes, and outputting the corresponding text. Modern OCR engines like Tesseract.js use trained neural network models to achieve high accuracy across multiple languages and fonts.

When Do You Need OCR?

• Digitizing scanned documents — convert paper records, receipts, and contracts into searchable, editable text files.
• Extracting text from screenshots — pull text from app screenshots, error messages, or social media posts without retyping.
• Invoice processing — extract vendor names, amounts, and dates from invoice images for accounting workflows.
• Academic research — digitize passages from printed books or journals for citation and note-taking.
• Accessibility — convert image-based content into text that screen readers can process for visually impaired users.

Key Aspects of OCR

• Multi-language support — recognizes text in English, Chinese, Japanese, Korean, and dozens of other languages with trained models.
• Confidence scoring — each recognized word includes a confidence percentage, letting you identify uncertain readings.
• Browser-based processing — no server upload. The OCR model runs locally in your browser using WebAssembly.
• Format flexibility — accepts JPEG, PNG, BMP, TIFF, and other common image formats as input.
• Copy and export — extracted text can be copied to clipboard or downloaded as a plain text file.