FutureRising007/Table_Structure_Recognition
Table Structure Recognition
This project helps businesses efficiently extract key financial figures from diverse financial documents by recognizing tables within images. It takes an image of a financial document as input and outputs the identified row and column counts of any tables present. This is designed for financial analysts, auditors, or operations teams who need to process large volumes of financial data and prevent data forgery.
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Use this if you need to automatically identify the structure of tables (specifically row and column counts) within images of financial documents.
Not ideal if you need to extract the actual content within table cells or are working with non-financial document types.
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Mar 11, 2023
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