Announcement • Mar 13
Hancom Releases OpenDataLoader PDF V2.0 Hancom has released OpenDataLoader PDF v2.0 — and the benchmark numbers back up the claim. In the company's own internal testing, OpenDataLoader PDF outperformed competing open-source tools across reading order recognition, table extraction, and heading inference. Hancom has published the full benchmark dataset and reproducible code on its official GitHub repository, allowing developers to verify the results independently. The headline engineering move is a hybrid extraction engine that pairs AI-based parsing with direct extraction. The practical upside: enterprises and developers get high-accuracy PDF data extraction that runs entirely on-premise, with no data leaving the local environment. Four Free AI Add-ons, Out of the Box. OpenDataLoader PDF PDF v2.0 includes the following four AI features as add-ons at no additional cost: OCR— improves text recognition on image-based and scanned PDFs; Table Extraction— a lightweight AI model that handles merged cells and complex table structures with precision; Formula Extraction— recognizes mathematical and scientific notation locally, without a cloud call; Chart Analysis— converts chart visuals into natural-language descriptions. All four are built for compatibility with third-party open-source models, including Docling. Hancom is clear that no formal partnership or sponsorship is in place — the compatibility is purely technical, designed so developers can slot OpenDataLoader PDF into existing pipelines without rebuilding their stack. The project has also shed its MPL 2.0 license in favor of Apache 2.0 — one of the most permissive open-source licenses available. The move directly reduces friction for commercial use, making it easier for global developers and enterprises to build on top of OpenDataLoader PDF without navigating license compatibility headaches. Hancom expects this to accelerate downstream business models including WebApp and SaaS applications built on the engine. LangChain integration shipped in 2025. In 2026, Hancom is targeting Langflow, LlamaIndex, and Gemini CLI, plus MCP (Model Context Protocol) support for agentic AI workflows. The roadmap positions OpenDataLoader PDF as infrastructure for the autonomous AI agent era, not just a standalone parsing tool. Later in 2026, a commercial AI add-on is planned — described as a concentration of Hancom's proprietary document AI technology. Perhaps the most forward-looking item on the roadmap is PDF accessibility. With the European Accessibility Act (EAA) now in force, South Korea's anti-discrimination legislation tightening, and accessibility regulations expanding globally, compliance has become a real operational burden for enterprises. Hancom says OpenDataLoader PDF will be the first open-source PDF tool to include AI-generated accessibility tagging — This will be the first open-source solution to provide a key step toward PDF/UA compliance. OpenDataLoader PDF PDF v2.0 is available now. Source code, benchmark datasets, and documentation are published at the OpenDataLoader PDF official GitHub repository. Valuation Update With 7 Day Price Move • Mar 04
Investor sentiment deteriorates as stock falls 19% After last week's 19% share price decline to ₩18,550, the stock trades at a forward P/E ratio of 9x. Average forward P/E is 14x in the Software industry in South Korea. Total returns to shareholders of 34% over the past three years. Simply Wall St's valuation model estimates the intrinsic value at ₩29,845 per share. 
