Tax administration made efficient with Upstage Document Parse

Customer success story of 
Korean tax firm
 with Upstage
Plus

About

Korean tax firm

Problem

Tax administrations face significant challenges in processing diverse documents such as bank statements, credit card slips, and lease contracts. Manually analyzing these documents is time-consuming and hinders productivity. For instance, bank transaction statements are often provided in PDF format, making them difficult to analyze, while organizing credit card slips into structured Excel files is cumbersome. These inefficiencies create bottlenecks in the workflow of tax accountants. To address these issues, tax firms require solutions that automate document processing, handle large volumes of data swiftly, and ensure accurate analysis.

Technical challenges

Solution

A prominent Korean tax firm used Upstage Document Parse to develop an automated document processing program. This program simplifies workflows by converting PDFs to images, extracting data from images into an Excel format for seamless analysis, and merging the extracted data into a single file. With this program, the firm has significantly improved its ability to process high volumes of documents efficiently and accurately.

Results

Business impact

Why Upstage

The tax firm tested several tools, including RPDF, ABBYY, and Naver CLOVA, but chose Upstage for its unmatched performance in Korean OCR. Here’s why:

  • Upstage: Delivered exceptional speed and accuracy, especially for Korean documents.
  • Naver CLOVA: Strong in Korean language recognition but slower compared to Upstage.
  • GPT-4: Effective for general text recognition but weaker in handling tables.
  • With Upstage Document Parse, the firm achieved significant improvements in efficiency, enabling tax accountants to process documents faster and more accurately. By adopting Upstage Document Parse, tax and accounting firms can:

    • Maximize productivity
    • Deliver faster, more accurate services to clients
    • Leverage cutting-edge AI technology to stay competitive

    Published
    dot 4px gray
    July 19, 2024

    About

    Korean tax firm

    Problem

    Tax administrations face significant challenges in processing diverse documents such as bank statements, credit card slips, and lease contracts. Manually analyzing these documents is time-consuming and hinders productivity. For instance, bank transaction statements are often provided in PDF format, making them difficult to analyze, while organizing credit card slips into structured Excel files is cumbersome. These inefficiencies create bottlenecks in the workflow of tax accountants. To address these issues, tax firms require solutions that automate document processing, handle large volumes of data swiftly, and ensure accurate analysis.

    Technical challenges

    Solution

    A prominent Korean tax firm used Upstage Document Parse to develop an automated document processing program. This program simplifies workflows by converting PDFs to images, extracting data from images into an Excel format for seamless analysis, and merging the extracted data into a single file. With this program, the firm has significantly improved its ability to process high volumes of documents efficiently and accurately.

    Results

    Business impact

    Why Upstage

    The tax firm tested several tools, including RPDF, ABBYY, and Naver CLOVA, but chose Upstage for its unmatched performance in Korean OCR. Here’s why:

  • Upstage: Delivered exceptional speed and accuracy, especially for Korean documents.
  • Naver CLOVA: Strong in Korean language recognition but slower compared to Upstage.
  • GPT-4: Effective for general text recognition but weaker in handling tables.
  • With Upstage Document Parse, the firm achieved significant improvements in efficiency, enabling tax accountants to process documents faster and more accurately. By adopting Upstage Document Parse, tax and accounting firms can:

    • Maximize productivity
    • Deliver faster, more accurate services to clients
    • Leverage cutting-edge AI technology to stay competitive

    Published
    dot 4px gray
    July 19, 2024

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