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Hancom AI
Hancom Data Loader

Hancom Data Loader

The more complex the documents,
the more accurate the data needs to be.

Hancom Data Loader is a solution that extracts text, tables, images, and charts from
HWP, HWPX, PDF, and OOXML documents and structures them into data
that can be used directly for RAG building and AI learning.

HWP and HWPX are extracted directly from the source without PDF conversion,
minimizing loss of information even in tables and images.

Three common challenges when preparing to adopt AI

  1. Each document has a different format,
    making it difficult to organize

    Different forms and structures make it difficult
    to extract consistent data.

  2. Manual preprocessing
    takes too much time

    It takes a lot of time and people to manually
    clean up large volumes of documents.

  3. I want to preserve information
    in tables and images

    If key information is missing during the transformation process,
    the quality of AI results also decreases.

Hancom Data Loader solves these challenges

  • Extract diverse document structures into consistent data
  • Speed up processing by reducing repetitive preprocessing tasks
  • Preserve the context and structure of the document
  • Reflect key information from tables, images, and charts

The process by which
documents become data

See the results, without the technical complexity

Five-step flow: upload document, read structure, extract key elements, structured data, AI utilization | A source document with a table (revenue 124 billion KRW, growth +18%) being converted into JSON data with the same values

Turn every table and every piece of text into AI-ready data

  • Turn any document into AI-ready data

    From HWP(X) specialization to PDF and OOXML formats, documents are converted into structured data that can be directly integrated with AI systems.

    • HWP·HWPX
    • PDF
    • OOXML
    • Direct Integration with AI and RAG

    Supports many other documents

    Please contact your sales representative for more information

  • Accurate reading order and paragraph structure

    AI deep learning and DLA technologies read the order of paragraphs and precisely analyze the coordinates and layout.

    • Coordinate-based extraction
    • Accurate reading order
    • Single-column, two-column, and translated documents
    • Rule-based (HWP)
    • AI deep learning (PDF)
  • Smart classification of document elements into detailed categories

    Automatically recognizes various elements such as text, tables, and images, and categorizes them into detailed object categories.

    • Titles·body text·tables
    • Images·charts·captions
    • Dates·formulas·fonts
    • OCR
  • Turn even complex tables into data while preserving their original structure

    Even complex tables with borderless or merged cells are accurately structured as data.

    • Merged cells
    • Borderless tables
    • Nested tables

Turn previously
difficult-to-process documents
into AI-ready data now.

From HWP and HWPX specialized engines to PDF AI analysis —
Hancom's deep expertise in documents improves the accuracy of document extraction.

Learn more about Hancom Data Loader

Certified technology,
proven solutions

Already proven across the public, financial, education, and enterprise sectors

  • National Assembly Secretariat logo
  • National Assembly Library logo
  • Korea Agency for Infrastructure Technology Advancement (KAIA) logo
  • Korea Midland Power (KOMIPO) logo
  • Korea Authority of Land & Infrastructure Safety (KALIS) logo
  • Gyeonggido Office of Education logo
  • Ministry of Planning and Budget logo
  • Bank of Korea logo
  • BGF Retail logo

Learn more about
Hancom Data Loader

Explore the blog

Learn more about supported formats, key features, and deployment options,
including on-premise and SaaS.

Go to Hancom blog

Try it out

Upload your own documents and preview how text, tables, and images are extracted into data.

Go to sample demo

SaaS API

  • Ready-to-use SaaS with no installation required
  • Flexible usage that scales with your needs
  • Lower upfront costs and faster deployment

On-Premises

  • Deploy within your internal server environment for enhanced security
  • Optimized for sensitive data processing environments such as government agencies and large enterprises
  • Leverage your own infrastructure to ensure stable operations

  • Operating system

    Linux

    (Ubuntu 22.04 LTS recommended)

  • CPU

    1.6 GHz, 2 cores or more

    1.6 GHz, 2 cores or more

  • Memory

    20GB RAM or more

    20GB RAM or more

  • GPU

    24GB or more, CUDA 12.1 or higher

    24GB or more, CUDA 12.1 or higher

  • Miscellaneous

    Semantix, graphics card driver, Docker

    Semantix, graphics card driver, Docker installation required

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Hancom Inc.CEO: Sung-jun Byun, Yeon-su Kim
10F, Hancom Tower, 49, Daewangpangyo-ro 644beon-gil, Bundang-gu, Sungnam-si, Gyeonggi-do
support@hancom.com
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