How do I extract text from an image using OCR online for free?

Upload your image (JPG, PNG, WebP, or BMP), select the text language, wait for OCR processing, then copy or download the extracted text. Powered by Tesseract.js, works 100% in your browser.

What is OCR and how does optical character recognition work?

OCR (Optical Character Recognition) is AI technology that recognizes text in images. It analyzes pixel patterns, identifies characters, and converts them to editable text. Our tool uses Tesseract, the most accurate open-source OCR engine.

Which languages does the OCR tool support?

Our OCR supports 100+ languages including English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, and many more. Select your language for best accuracy.

Can OCR extract text from handwritten notes or cursive writing?

OCR works best with printed text. Handwriting recognition has limited accuracy, especially for cursive. For best results with handwriting, use clear block letters on plain backgrounds with good lighting.

How do I improve OCR accuracy for better text extraction?

For best results: use high-resolution images (300+ DPI), ensure good lighting without shadows, use plain backgrounds, keep text horizontal, and select the correct language. Crop to text area only for faster processing.

Is OCR processing done locally? Are my images uploaded anywhere?

Yes, 100% private! All OCR processing happens in your browser using Tesseract.js. Your images never leave your device or get uploaded to any server. Safe for confidential documents, receipts, and personal photos.

Can I extract text from scanned PDFs or screenshots?

Yes! Our OCR works with any image containing text: scanned documents, screenshots, photos of whiteboards, book pages, receipts, business cards, signs, and more. Save as image first if starting from PDF.

How do I extract text from an image using OCR online for free?

Upload your image (JPG, PNG, WebP, or BMP), select the text language, wait for OCR processing, then copy or download the extracted text. Powered by Tesseract.js, works 100% in your browser.

What is OCR and how does optical character recognition work?

OCR (Optical Character Recognition) is AI technology that recognizes text in images. It analyzes pixel patterns, identifies characters, and converts them to editable text. Our tool uses Tesseract, the most accurate open-source OCR engine.

Which languages does the OCR tool support?

Our OCR supports 100+ languages including English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, and many more. Select your language for best accuracy.

Can OCR extract text from handwritten notes or cursive writing?

OCR works best with printed text. Handwriting recognition has limited accuracy, especially for cursive. For best results with handwriting, use clear block letters on plain backgrounds with good lighting.

How do I improve OCR accuracy for better text extraction?

For best results: use high-resolution images (300+ DPI), ensure good lighting without shadows, use plain backgrounds, keep text horizontal, and select the correct language. Crop to text area only for faster processing.

Is OCR processing done locally? Are my images uploaded anywhere?

Yes, 100% private! All OCR processing happens in your browser using Tesseract.js. Your images never leave your device or get uploaded to any server. Safe for confidential documents, receipts, and personal photos.

Can I extract text from scanned PDFs or screenshots?

Yes! Our OCR works with any image containing text: scanned documents, screenshots, photos of whiteboards, book pages, receipts, business cards, signs, and more. Save as image first if starting from PDF.

Image OCR to Text

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Extract text from images using advanced optical character recognition (OCR). Convert photos of documents, screenshots, scanned papers, receipts, and handwritten notes into editable, searchable text.

PDF & Documentsocrimagetextextract

100% Private - Runs Locally

How to Use

1Upload an image with text
2Select the language
3Wait for OCR processing
4Copy or download extracted text

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