Automatically recognize and extract text from images. Supports Korean, English, and Japanese with browser-based processing.
Drag or click to upload image
JPG, PNG, WebP supported (Max 20MB)Upload an image containing text. Supports scanned documents, screenshots, and photos. Clearer images yield better recognition accuracy.
Choose the language of the text to extract. Supports Korean, English, and Japanese. Use auto-detect to automatically identify the language.
Click the Extract Text button to let AI analyze the image and extract text. Progress is shown with a progress bar.
Copy the extracted text or download as a TXT file. Use the copied text for documents, translation, search, and more.
Photograph business cards to quickly extract contact information and save to your digital address book.
Scan paper documents or PDFs to convert them into editable text. Digitize contracts, receipts, reports, and more.
Photograph signs, menus, or notices in foreign languages, extract text, and paste into a translator for quick translation.
Clear printed text achieves over 95% accuracy. Handwriting or blurry images may have lower accuracy. For best results, use high-resolution images with sharp, clear text.
Currently supports Korean, English, and Japanese. Auto-detect option automatically identifies the main language. Mixed-language documents are recognized but single-language documents have higher accuracy.
No, all processing happens in your browser and images are not sent to any server. Documents with personal information can be processed safely. All data is deleted when you refresh the page.
Maximum upload size is 20MB. Most document photos or screenshots fall within this limit. If your file is too large, use an image compression tool before uploading.
Handwriting recognition is possible but less accurate than printed text. Block letters are recognized better than cursive. Larger, clearer handwriting yields better results.
Currently only image files (JPG, PNG, WebP) are supported. First convert PDF files to images using a PDF-to-image converter, then process with OCR.
OCR (Optical Character Recognition) is a technology that automatically detects and extracts text from images and scanned documents. You can obtain editable text from various types of images, from smartphone photos to scanned PDFs.
Modern OCR technology uses deep learning-based neural networks to recognize characters. It analyzes images pixel by pixel to identify character patterns, then combines with language models to extract contextually accurate text. Open-source OCR engines like Tesseract support over 100 languages and achieve high accuracy on printed text. Image preprocessing (contrast enhancement, skew correction, etc.) can further improve recognition rates.
OCR recognition accuracy varies greatly depending on image quality, font type, and background complexity. Clear printed documents can achieve over 98% accuracy, but handwriting, special fonts, or complex backgrounds may result in lower accuracy. Using high-resolution images, ensuring clear contrast between text and background, and having horizontally aligned text are key factors for the best results.
OCR technology is used across many fields including business automation, document digitization, and accessibility improvements. Common use cases include automatic expense tracking from scanned receipts, digitizing business card information, translating foreign-language signs or menus, extracting text from papers and books, and screen-reading features for the visually impaired. Businesses are actively adopting OCR for invoice processing, contract management, and archiving systems.