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Image to Text uses optical character recognition (OCR) to identify readable text in an image and turn it into text you can copy, search, edit, or download. It is useful for scanned notes, receipts, screenshots, book pages, signs, printed forms, slides, and phone photos. Instead of typing a document again, upload the image and use the extracted text as a starting point.
OCR accuracy depends on the source image. Clear, sharp lettering with good contrast is easier to recognize than handwriting, low-light photos, blurred scans, or patterned backgrounds. Select the language used in the image before extraction, then proofread the result carefully, especially names, numbers, dates, and technical terms.
Use the highest-resolution image you have. If you take a photo, keep the camera parallel to the page, avoid shadows, and make sure the text is in focus. Crop away unrelated parts of the image when possible. Printed documents usually convert more reliably than handwritten notes, and a clean black-on-white scan generally gives the best result.
OCR stands for Optical Character Recognition, a technology that detects characters in an image and converts them into digital text.
Yes. For better results, use a well-lit, focused photo with text that is large enough to read clearly.
Results can vary substantially. Neat, high-contrast handwriting may work, but printed text is generally more reliable.