Combination of RPA and intelligent document processing
How Intelligent Document Processing Enhances RPA Capabilities As business needs expand and become more complex, traditional document processing has shown several shortcomings in RPA applications: Data accuracy issues : Traditional RPA systems rely on fixed rules to extract PDF data. When there are slight changes in the data format or content, errors may occur, which in turn affects the data quality and the effectiveness of the automated process. Document complexity challenge : As customer needs diversify, existing PDF solutions often find it difficult to accurately handle complex tables, charts, and formulas, resulting in inaccurate information extraction. Processing performance bottleneck : When processing large-scale documents, the speed often fails to meet expectations, thus affecting the overall efficiency. Intelligent document processing and the integrated functions of RPA systems Convert images to PDF : Use OCR technology and intelligent image layout analysis and element re...