How does OCR Text Extraction work?
Our OCR (Optical Character Recognition) tool uses advanced machine learning algorithms powered by Tesseract.js to detect and extract text from images. The technology analyzes patterns, shapes, and structures within the image to identify characters, words, and sentences with high accuracy directly in your browser.
What languages and formats are supported?
Extract text from images in over 100 languages including English, Spanish, French, German, Chinese, Japanese, Arabic, and more. Our tool supports all major image formats: JPG, PNG, GIF, BMP, and WebP. The OCR engine is optimized for both printed and handwritten text recognition.
Is my data secure when using this tool?
Yes, absolutely! All processing happens locally in your browser using WebAssembly technology. Your images never leave your device and are not uploaded to any server. This ensures complete privacy and security for sensitive documents.
How can I get the best OCR results?
For optimal text extraction results, use high-resolution images with clear, well-lit text. Ensure the text is horizontal and not skewed. Avoid images with complex backgrounds or watermarks over the text. The cleaner the original image, the more accurate the OCR results will be.
What can I do with the extracted text?
Once text is extracted, you can copy it to clipboard, edit it directly in the text area, or download it as a text file or high-resolution image. The tool also provides statistics like word count, character count, and confidence score to help you assess the quality of extraction.
Does this tool work offline?
After the initial load of language data, the tool can work offline for previously loaded languages. The OCR processing itself doesn't require an internet connection as it runs entirely in your browser using WebAssembly.