Case Study

Enhance IsCoolLab Robotic Process Automation with ComPDF Data Extraction

By ComPDFKit | Sat. 12 Oct. 2024
Data ExtractionComIDPIntelligence Document Processing

In today's increasingly complex and fast-paced business environment, more and more enterprises are leveraging automation technology to optimize business processes, enhancing productivity and competitiveness. IsCoolLab's Robotic Process Automation (RPA) software is designed to handle monotonous and repetitive tasks, streamlining workflows and optimizing the use of human resources. However, as customer demands evolve, especially in handling PDF files and other unstructured data, IsCoolLab has faced a series of challenges.

 

By partnering with ComPDF, IsCoolLab successfully integrated the ComIDP (Intelligent Document Processing) solution, overcoming these obstacles and significantly enhancing its RPA system's support for unstructured data. This not only greatly improved processing efficiency and accuracy but also further strengthened their market competitiveness. It is hoped that IsCoolLab's experience serves as a valuable reference and source of inspiration for other companies seeking similar solutions.

 

extract-pdf-data-to-json-for-iscoollab-rpa

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Customer Background

 

IsCoolLab is the creator of Robotiive, a RPA software, dedicated to helping enterprises achieve digital transformation through effective process automation solutions. As one of the industry leaders, IsCoolLab's Robotiive software aims to achieve seamless process automation in Office Automation (OA) and Operational Technology (OT). The company's technical team has integrated AI technology to introduce industrial RPA, allowing users without programming skills to easily implement necessary automation scenarios.

 

With Robotiive, users can handle tedious work in enterprises, reduce manual errors, and greatly enhance productivity and competitiveness. So far, IsCoolLab's RPA solutions have successfully assisted large enterprises across various industries, including PCB, wafer, semiconductor, and various office types, in achieving automation.

 

iscoollab-home

 

Requirements Background

 

While IsCoolLab's Robotiive performs well in processing structured data, its capability to process unstructured data like PDF files, scanned images, and handwritten text—remains limited. Recently, many clients required the extraction of text from numerous PDF files and automatic input into ERP or SAP systems, with these PDFs usually comprising shipping orders or SGS test reports.

 

Despite previously adopting a solution from a PDF vendor, there is still potential for enhancing certain features. Additionally, time zone differences between them posed delays in communication and support response times, causing inconvenience to IsCoolLab. Therefore, IsCoolLab is actively seeking new solutions to better cater to customer needs.

 

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 batch convert a large number of PDF documents into image formats 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 an "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 detail display for more accurate diagnosis and treatment. Moreover, insurance companies can use high-resolution medical record images for quick claims audit, reducing disputes and complaints.

 

pdf-to-image-dpi

* 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 high-quality viewing experience. After the upgrade, Robotiive's PDF to Image feature significantly improved user efficiency and quality assurance.

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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.

 

comidp-intelligent-text-extraction

 

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.

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Final Outcomes

 

During the collaboration with IsCoolLab, the ComIDP team received high praise. Our intelligent document processing solution comprehensively optimized and upgraded Robotiive, particularly making notable improvements in the PDF data extraction function. These enhancements greatly improved Robotiive's overall performance and significantly increased automation levels, allowing IsCoolLab to provide quality service to more clients and successfully expand its business scope.

 


"ComPDF SDK performs exceptionally well in PDF processing, most functionalities meeting our expectations. Thank you very much to your team for your assistance during this period, and for timely providing various technical support. We are very much looking forward to further collaboration." 

—— IsCoolLab


 

Enhancing Doc Processing Speed and Accuracy

ComIDP helped IsCoolLab quickly parse and extract complex content from unstructured documents, the document processing speed has increased to 90 times its original rate, with data accuracy reaching up to 95%. The processing efficiency was significantly increased, greatly augmenting the RPA process's automation performance.

 

Reducing Manual Intervention and Error Rates

With ComIDP integration, Robotiive IRPA greatly enhanced its ability to process unstructured data. Errors resulting from changes in data formats were significantly reduced, leading to reduced need for manual intervention, greatly cutting labor costs.

 

Meeting More Demands, Boosting Business Growth

By integrating ComIDP, IsCoolLab's Robotiive can meet more customer's needs, significantly driving business growth. The enterprise's market competitiveness hence improved further, laying a solid foundation for long-term development.

 

Future Cooperation Outlook

 

In future collaborations, we will provide IsCoolLab with free PDF to TXT services. Meanwhile, they plan to integrate our table recognition feature, further enhancing table PDF document recognition accuracy and improving data processing efficiency. We firmly believe these collaborations will bring infinite possibilities for our mutual development.

 

If you’re interested in automated document processing, we sincerely invite you to explore our ComIDP intelligent document processing solution. By using the ComIDP Demo, you can experience firsthand the robust features and simplicity of AI technology in automating document processing. For further details, please don't hesitate to reach out to us, and we’ll offer you expert support and service.

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