RapidLayoutRecover: Convert Images into Editable Text 215

RapidLayoutRecover is a tool for document image layout recovery. The project aims to restore document images into editable formats (such as Word or TXT files) that contain complete layout information by integrating the results of layout analysis, text recognition (OCR), table recognition, and formula recognition.

That is, it converts document images (such as scanned book pages, PDF pages, etc.) into editable text formats, such as Word or TXT files, while preserving the layout in the image.

RapidLayoutRecover can automatically recognize text, tables, formulas, and other content in images, and help users convert these images into formats that can be further edited and processed. In this way, users do not need to manually input or reconstruct the content in the document, greatly saving time and effort.

Process scanned document images and convert them into editable text.

Automatically recognize complex layout structures, such as tables, formulas, etc.

The output is editable Word or text files for further modification or use.

Main Features of RapidLayoutRecover:

Layout Restoration: The main function of RapidLayoutRecover is to completely restore the content of the document image, including text, tables, formulas, etc., to the original layout structure. The output not only preserves the content of the original image, but also retains layout information, such as text position, paragraph format, etc.

Optical Character Recognition (OCR): The tool integrates OCR technology and can extract text information from images. Whether it is a printed document or a handwritten document, RapidLayoutRecover can automatically recognize and extract the text and convert it into an editable text format.

Table Recognition: For documents containing tables, the tool can recognize the table structure and restore it to an editable Word document, preserving the rows and columns layout and content of the table.

Formula Recognition: In addition to text and tables, the tool also has the ability to recognize complex mathematical formulas. It can convert formulas in images into text form while preserving the structure and symbols of the formulas.

Editable Document Output: The recognized content can be saved in different output formats, such as WordTXT or files, allowing users to further edit, modify, or process the recognized documents.

RapidLayoutRecover, document output flow

Technical Principle of RapidLayoutRecover

Layout Analysis: Layout analysis is one of the foundational technologies of the project. It can automatically detect different regions in the document, such as titles, text, tables, images, etc., based on the layout structure of the document image. Through this analysis, the tool can correctly segment and restore the layout structure of the document to ensure the correct arrangement of text and graphics.

Optical Character Recognition (OCR): OCR technology is used to recognize text in document images. RapidLayoutRecover can convert the text content in scanned document images into editable text by integrating OCR modules. This process includes the detection, classification, and recognition of characters, and supports multiple languages.

Table Detection and Recognition: The table recognition module is responsible for detecting table regions in documents and parsing and restoring the cells in the table. This recognition technology ensures that the row and column structure and content format of the table are preserved when converted into editable documents, facilitating further editing and calculation.

Mathematical Formula Recognition: The formula recognition module is based on the detection of mathematical symbols in images and can convert complex mathematical formulas into editable formats while preserving the original structure of the formulas. This technology is particularly suitable for processing documents containing a large number of formulas, such as scientific literature and academic papers.

Python Implementation and Module Integration: The tool is written in Python and combines multiple open-source OCR, layout analysis, table, and formula recognition modules. Through the integration of these technical modules, RapidLayoutRecover can provide powerful document image analysis and conversion capabilities.

GitHub: https://github.com/Rapidai/RapidLayoutRecover