Newspaper Digitization System

Client: A large document scanning and digitization company based in Europe looking for a way to improve and scale their newspaper scanning efforts

Objective: Create an application for intelligent newspaper processing and digitization. 

Results: We have created a newspaper digitization system capable of detecting articles that span across multiple columns, extracting text, and  detecting article types.

• Newspaper Preprocessing

This module removes any paper warp caused by old age or moisture damage, removes dust and scratches, and fills in letters and symbols that have faded with time.

• Newspaper Article Extraction

Our application detects text blocks that belong to the same article across the entire page and compiles them together in a correct order, including headers, subheaders, illustrations, authorship attribution, and any other elements that are part of the same article. 

•  Visual Editor

All relations between article blocks are presented visually and can be manually edited using a visual editor.

• Recognition Quality

We have managed to achieve 98-99% recognition quality, making our system a reliable solution for digitizing newspapers of any time period and publisher.