Image to Text (OCR)
Extract text from images using optical character recognition. Runs entirely in your browser.
Drag & drop an image here, or click to browse
Supports PNG, JPG, BMP, WEBPExtract text from images using optical character recognition. Runs entirely in your browser.
Drag & drop an image here, or click to browse
Supports PNG, JPG, BMP, WEBPOur Image to Text tool uses optical character recognition (OCR) to extract readable text from photographs, screenshots, scanned documents, and other image files. Whether you need to digitize a printed page, copy text from a screenshot, or pull information from a photo, this tool handles it all directly in your web browser with no server uploads required.
Optical character recognition analyzes the pixels in an image to identify patterns that correspond to letters, numbers, and symbols. The technology uses machine learning models trained on millions of text samples across dozens of languages and scripts. Modern OCR engines like Tesseract can handle a wide range of fonts, sizes, and layouts, from clean printed text to handwritten notes, though accuracy varies depending on image quality and text clarity.
This tool supports eight languages: English, Spanish, French, German, Chinese (Simplified), Japanese, Korean, and Arabic. Each language uses its own trained model that is downloaded on demand the first time you use it. Subsequent extractions with the same language will be faster since the model is cached by your browser.
Your images never leave your device. All processing happens locally in your browser using the Tesseract.js library. No data is sent to any server, making this tool safe for confidential documents such as contracts, financial records, or personal correspondence. The confidence score shown after extraction gives you an indication of how reliable the recognized text is likely to be.
Students use OCR to digitize textbook pages and lecture notes. Professionals extract data from scanned invoices, receipts, and business cards. Developers pull text from UI screenshots for documentation. Researchers convert printed journal articles into searchable, editable text. Whatever your use case, this free OCR tool provides a quick and private way to turn images into text.