Enhance IsCoolLab Robotic Process Automation with ComPDF Data Extraction

Customer Pain Points

IsCoolLab’s original PDF solution provided some convenience for clients, but the growing and increasingly complex business demands revealed several significant shortcomings.

• Data Accuracy Issues: The original RPA system relied on fixed rules for PDF data extraction, which could cause errors when the data format or content changed slightly, affecting data quality and the effectiveness of downstream system automation.
• Document Complexity Challenges: As client demands expanded, the original PDF solution struggled with handling complex tables, charts, and formulas, making it difficult to accurately extract needed information.
• Processing Performance Bottlenecks: When handling large volumes of documents, processing speed did not meet user expectations, resulting in insufficient efficiency.

To solve these issues, IsCoolLab decided to seek a more intelligent, efficient, flexible, and comprehensive PDF solution to adapt to ever-changing demands, enhancing its RPA product’s competitiveness and service level.

ComIDP Solution

After thoroughly understanding IsCoolLab’s practical application scenarios, we provided a customized intelligent document processing solution, including functions such as PDF-to-image conversion, PDF text extraction, PDF table extraction, and export annotations to XML. ComIDP can efficiently and accurately extract data, optimizing IsCoolLab’s Robotiive IRPA software and raising overall office automation levels. Next, we’ll showcase in detail how the ComPDF team resolved client issues and the final outcomes achieved.

PDF to Image (PNG)

In IsCoolLab’s Robotiive, the PDF to Image feature is seen as crucial for enhancing user experience and operational convenience. IsCoolLab aimed to convert a large number of PDF documents into image formats in batches to facilitate subsequent batch operations and processing by users.

PDF to Image PDF to Image is a fundamental capability of the ComPDF Conversion SDK. To meet diverse user needs in different scenarios regarding image clarity, IsCoolLab requested a “zoom factor.” After discussions, we added a customizable DPI parameter to adjust the size of the output image.

This is particularly crucial in the medical field for medical record management and insurance claims processing. By adjusting the DPI, doctors can view medical record images on any device, ensuring perfect detailed display for more accurate diagnosis and treatment. Moreover, insurance companies can use high-resolution medical record images for quick claims audits, reducing disputes and complaints.

* Example of PDF Reader Pro Powered by ComPDF

ComPDF enables IsCoolLab to easily achieve the PDF to Image functionality, increasing user flexibility in document processing and display, ensuring cross-platform consistency and a high-quality viewing experience. After the upgrade, Robotiive’s PDF to Image feature significantly improved user efficiency and quality assurance.

Text Extraction

In the field of office automation, Robotiive supports automatically extracting information from PDFs and automatically populating ERP systems. However, Robotiive faced difficulties when processing tables within PDFs. IsCoolLab wished to extract table content from PDFs and store it as a JSON file containing coordinate information, which is especially crucial in situations requiring precise text positioning and data reuse, providing convenience for users’ subsequent automation processing and analysis.

Based on our patented table recognition algorithm, we can accurately identify and classify the elements of PDF layouts, and quickly detect tables within the documents. To ensure information can be accurately entered into systems like OA and SAP, IsCoolLab proposed the requirement of “extracting text including coordinate information.”

ComIDP used AI technology, successfully overcoming challenges of varying column widths, merged cells, and other complex tables, accurately extracting table content and precise coordinate information of each cell text, storing it as structured JSON data. This proves particularly important in areas like financial statement analysis and scientific data management.

By integrating ComIDP’s intelligent text extraction features, IsCoolLab’s Robotiive platform significantly enhanced users’ document processing abilities and data analysis efficiency, ensuring operational precision and reliability. This expanded its application’s value in finance, science, and legal fields, achieving a comprehensive enhancement in user experience.

Export Annotations to XML

ComPDF supports exporting PDF annotations and enables returning them as structured data, available for customers to download as JSON or XML formatted documents. However, IsCoolLab desired to directly manipulate parsed annotation data list within Robotiive, bypassing the need for file storage and retrieval. To achieve this, we used C#’s List data structure interface to directly return the annotation list with detailed information, such as annotation coordinates.

This direct data transfer method not only improved RPA software’s automation processing efficiency and flexibility but also simplified data management processes, reducing file management complexity. By obtaining and processing annotation data promptly, businesses significantly optimized process integration and automated response speed. This method effectively increased data usability, assisting enterprises in more efficiently conducting business operations.

Content Source: robotic processing automation & pdf data extraction