HANCOM

Documents to Data. Ready for AI.Hancom Data Loader

The #1 open-source document parsing engine — a data extraction solution that turns complex documents into data ready for RAG and AI training.

Data Loader

recognizes and extracts information from complex documents, turning them into AI data assets.

STEP 1

Ingest

STEP 2

Read layout

STEP 3

Extract

STEP 4

Structure

STEP 5

Use in AI

From a commercial engine that turns diverse document formats into data to a PDF-focused open-source engine — supporting the AI ecosystem in the AX era.

Hancom Data Loader

A commercial parsing engine covering DOCX, XLSX, PPTX, PDF, and HWP(X), with tools to precisely review and adjust the order and structure of extracted data.

CommercialParsing

Open Data Loader

A Local-first open-source parsing engine specialized in PDFs. Reads layouts, tables, and images accurately to produce AI-ready data. (Apache 2.0, free to use)

open-sourceParsing

PDF Accessibility Solution

Automated PDF tagging, PDF/UA export, and an audit-ready workflow.

solution

Data Loader's PDF engine

is verified by developers worldwide — ranked #1 on GitHub Trending across all open-source projects.

#1 Repository Of The Day

No cost, no adoption barriers, no vendor lock-in. Start instantly under the Apache 2.0 license and verify performance yourself — even in your local environment.

GITHUB TRENDING

#1

Repository of the day

#1 open-source parser

0.907

opendataloader-bench overall score

GITHUB STARS

27,000+

Developer-driven, sustained growth

Learn more

From text to tables to information inside images

Extracts document data with minimal loss.

Any document, converted into AI-ready data

01

Turns documents in diverse formats — DOCX, XLSX, PPTX, PDF, HWP(X), and more — into structured data ready to plug into AI systems.

Accurate reading order and paragraph structure

02

AI deep learning and Document Layout Analysis (DLA) read paragraph order and analyze coordinates and layout in detail. Multi-column layouts follow the natural reading order. (XY-Cut++ reading order)

Smart classification of document elements

03

Automatically recognizes text, tables, images, and other elements, and classifies them into detailed object categories.

Complex tables preserved in their original structure

04

Even borderless or merged-cell tables are converted into structured data with minimal loss of information.

Grounded in international standards

Built with trusted partners.

PDF Association
SPECIFICATION AUTHORS

PDF Association

Authors of the Well-Tagged PDF specification and best-practice guides

Dual Lab
veraPDF DEVELOPERS

Dual Lab

Developer of veraPDF, the industry-standard PDF/A and PDF/UA validator

Already trusted across industries Data Loader is in production.

Frequently asked questions