OCR: Image to Text & PDF Scan

Designed especially for books and magazines, the app uses powerful OCR to capture every line clearly, even from complex layouts, so you can work with your content instead of retyping it.

Start by choosing the type of document you are scanning, such as a book or magazine page. Then simply point your camera, capture the page, and let the app extract the text for you. The scanner is optimized to handle multi-column pages, footnotes, and varied fonts, making it ideal for students, researchers, editors, and anyone who works with printed material.

After each scan, you see the extracted text along with helpful details that highlight what was captured. You can review and edit the text directly, copy it into your notes, or share it with other apps. If you enable extraction details, you get a clear breakdown of the recognized content, which is especially useful for checking accuracy on academic or professional material.

The app also includes smart guidance on how to format and use the extracted text. Formatting tips help you turn raw OCR output into clean notes, citations, or study guides. For quick review, enable the summary option to generate a concise overview of the scanned passage. This is perfect for revising key sections of a book, preparing for exams, or gathering background information for research projects.

All your scans are saved in an organized history so you can easily revisit previous pages, search within your saved documents, and continue building your personal library of excerpts. Each saved scan shows the original prompt or description alongside the extracted text, making it simple to remember why you captured it in the first place.

Whether you are studying, researching, or simply collecting interesting passages from your reading, this app turns your phone into a reliable text capture and analysis tool. Scan once, extract instantly, and keep your most important book and magazine content always within reach.

Terms Of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/