Camera Page Capture
Photograph pages from books or magazines and convert them into readable digital text using built-in OCR.
Portfolio · Education
Book Scanner
A reading companion that helps you read faster and build a consistent reading habit.
About the project
What Book Scanner does
Book Scanner is a reading companion for students, readers, and professionals who want to read faster and build a consistent reading habit. Users capture pages from books or magazines with the camera, or upload a PDF, and the app converts the text into a Bionic Reading format designed to help readers focus. Conversion is free, which makes daily reading practice easier to start.
Karma Technolabs built Book Scanner with Flutter, using optical character recognition (OCR) to turn photographed pages into readable digital text and a PDF library to create clean documents. The workflow was kept short and simple: capture or import, review the text, adjust it, and export. Users can correct recognition errors manually and resize text for comfortable reading before saving.
Key features
Built around how people use it
PDF and Image Import
Upload existing PDF books or images and convert them into Bionic Reading format at no cost.
Bionic Reading Format
Converted text is presented in Bionic Reading format to help readers focus, read faster, and build a daily habit.
Adjustable Text
Resize and reformat scanned text so it is comfortable to read on any phone screen.
Manual Editing
Edit converted text by hand to fix recognition errors or add notes before saving the final document.
PDF Export
Generate clean, formatted PDF files from captured or edited text for saving, sharing, or printing.
Product screens
A closer look.
Book Scanner is a powerful mobile tool that transforms physical pages into editable digital text and PDF files. It empowers readers and learners to capture content from books, magazines, and documents using their camera or imported PDFs. Conversion is fast and free, enabling users to save, read, and customize text format effortlessly.
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Services and technologies behind this project
More work
Related projects.
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