Extract text from images using optical character recognition. Supports 28+ languages, batch processing, and image preprocessing. Runs entirely in your browser.
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Our Image to Text tool uses advanced optical character recognition (OCR) to extract readable text from photographs, screenshots, scanned documents, and other image files. With support for over 28 languages, batch processing of multiple images, and built-in image preprocessing, this is one of the most capable free OCR tools available. Everything runs 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 a wide range of languages including English, Spanish, French, German, Portuguese, Italian, Dutch, Russian, Chinese (Simplified and Traditional), Japanese, Korean, Hindi, Thai, Vietnamese, Indonesian, Arabic, Hebrew, Turkish, Polish, Ukrainian, Czech, Romanian, Greek, Hungarian, Swedish, Danish, Norwegian, and Finnish. You can also use the auto-detect mode which scans with multiple language models simultaneously. Each language model is downloaded on demand and cached by your browser for faster subsequent use.
Need to extract text from multiple images? Simply select or drag in several files at once. The tool processes each image sequentially and combines all extracted text into a single output, clearly separated by image name. This is ideal for digitizing multi-page scanned documents, processing a stack of receipts, or extracting text from a series of screenshots.
Low-contrast images, colored backgrounds, or poor lighting can reduce OCR accuracy. Our built-in preprocessing options let you convert images to grayscale, enhance contrast, or apply threshold binarization (converting to pure black and white) before text extraction. You can preview the preprocessed result to see how it will look before running OCR. These simple adjustments can significantly improve recognition accuracy, especially on photographs of documents or low-quality scans.
Once text is extracted, you can copy it to your clipboard, download it as a plain text (.txt) file, or export it as a Word-compatible document (.docx). The word count display helps you quickly gauge how much text was recognized. The confidence score indicates how reliable the overall recognition is.
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, medical documents, or personal correspondence.
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. Translators extract foreign-language text from images for further processing. Whatever your use case, this free OCR tool provides a quick and private way to turn images into text.