In the digital era, the demand for converting paper documents into electronic formats is growing rapidly. RapidLayoutRecover, an innovative document image processing tool, efficiently transforms scanned book pages, PDF pages, and other document images into editable Word or TXT text formats while perfectly preserving the original layout.
The core advantage of this tool lies in its intelligent automatic recognition function, which accurately identifies elements such as text, tables, and formulas in the images, thus avoiding the tedious process of manual input or document reconstruction. Users only need to upload the document image, and RapidLayoutRecover will automatically complete the layout analysis and content extraction, significantly saving time and effort.
The efficient workflow of RapidAI/RapidLayoutRecover begins with the rapid classification of document orientation, followed by meticulous layout analysis to ensure the accuracy of the recognition process. This workflow not only provides a solid foundation for the recognition of text, tables, and formulas but also ensures the integrity of the final output.
In terms of functionality, RapidLayoutRecover integrates multiple professional modules, including document orientation classification, layout analysis, table recognition, formula recognition, and text recognition. The synergy of these modules allows the tool to efficiently extract the necessary information from document images.
After a series of complex processing and analysis, RapidLayoutRecover can restore the document layout into structured TXT or Word formats, providing users with unprecedented convenience. Whether for document editing, archiving, or sharing, users can enjoy an unparalleled efficient experience.
Project Address: https://github.com/RapidAI/RapidLayoutRecover