Image to Text (OCR)

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

Extract and convert text from images using advanced OCR (Optical Character Recognition) technology - free, with no signup and no upload. Everything runs locally in your browser via the Tesseract.js engine, so your images never leave your device, ensuring complete privacy and security. Every extraction returns a confidence score plus live character and word counts, and a built-in 'Clean up text' toolbar turns raw layout-bound OCR into paste-ready prose: join hyphenated line-break splits, merge soft line breaks into paragraphs, and collapse extra spaces - all non-destructive, so you can toggle each option without re-running OCR. Perfect for digitizing scanned books and PDFs, multi-column documents, receipts and invoices, screenshots, photos, business cards, and handwritten notes. Upload JPG, PNG, WebP, BMP, GIF, or TIFF images and process as many as you like with no hidden fees.

What is OCR and how does this tool work?

OCR (Optical Character Recognition) is a technology that converts images of text into machine-readable text. This tool uses Tesseract.js, an advanced open-source OCR engine that runs directly in your web browser. Simply upload an image containing text, select the language, and the tool will analyze the image, recognize the characters, and extract the text. The entire process happens on your device - your images are never uploaded to any server, ensuring complete privacy.

What languages are supported for text extraction?

This tool supports 15+ languages including: English, Vietnamese, Simplified Chinese, Traditional Chinese, Japanese, Korean, French, German, Spanish, Russian, Arabic, Hindi, Portuguese, Italian, and Thai. For best results, select the correct language that matches the text in your image before extracting.

What image formats are supported?

The tool supports all common image formats including JPG/JPEG, PNG, WebP, TIFF, BMP, and GIF. For best OCR accuracy, use high-resolution images with clear, readable text. Maximum file size is 20MB. Images with good contrast, proper lighting, and minimal noise or distortion will produce the most accurate results.

How accurate is the text extraction?

Text extraction accuracy depends on several factors: image quality, text clarity, font type, selected language, and lighting conditions. The tool provides a confidence score after extraction - scores above 80% indicate high accuracy, 60-80% is moderate, and below 60% suggests the image may need improvement. For best results, use high-resolution images with clear, well-lit text in standard fonts.

Is my data private and secure?

Yes, absolutely! All image processing and text extraction happens directly in your web browser using JavaScript and the Tesseract.js library. Your images are never uploaded to any server, and no data is collected, transmitted, or stored anywhere. This ensures complete privacy and security for your documents and images.

What can I use this tool for?

This OCR tool has many practical applications: Digitizing printed documents and books, Extracting text from screenshots and photos, Converting scanned PDFs to editable text, Reading text from business cards and signs, Processing receipts and invoices for expense tracking, Converting handwritten notes to digital text, Extracting quotes or information from images, Making image text searchable and editable, and much more.

Does this work on mobile devices?

Yes! The tool is fully responsive and works on smartphones and tablets. You can take a photo with your mobile camera or select an image from your gallery, then extract text directly on your mobile device. The OCR processing happens on your device, so make sure you have a stable browser and enough memory for processing.

How do I improve OCR accuracy for scanned documents?

Scan or photograph at 300 DPI or higher so each character has enough pixels. Keep text dark-on-light with strong contrast, and increase brightness or apply binarization (high-contrast black & white) for faded pages. Deskew tilted scans so lines are horizontal, crop out borders and noise, and feed a single column at a time rather than a full multi-column spread. Finally, pick the matching language in the dropdown - that alone often raises the confidence score by 10-20%.

What does the 'Clean up text' toolbar do?

OCR follows the image layout, so it returns hard line breaks and hyphenated word splits instead of reflowed prose. The three switches fix this without re-running OCR: 'Join hyphenated words' merges words split as 'exam-' / 'ple' across a line into 'example'; 'Merge lines into paragraphs' collapses single line breaks into spaces while keeping blank-line paragraph breaks intact; and 'Collapse extra spaces' removes runs of spaces. Toggle them on or off freely - they apply non-destructively from the original OCR result, giving you clean, paste-ready text for Word, email, or translation.