pullmd vs kordoc
pullmd: PullMD is a self-hosted service that converts various content types, including web pages, documents, images, audio, and YouTube videos, into clean, readable Markdown format. It supports integration with AI agents, offering a token-efficient output and multiple API endpoints.; kordoc: kordoc is a robust tool designed to convert various office document formats like HWP, PDF, and DOCX into Markdown and structured data. It can be used as a library, a CLI tool, or an MCP server, offering features like document generation, comparison, and AI agent integration.
TL;DR
Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency.
- You work with Korean HWP or HWPX documents, which general tools handle poorly.
- You need more than reading: comparing documents, format-preserving patches, Markdown to HWPX and form filling.
- You want local OCR, an offline mode and personal-data masking, through a library, CLI or MCP server with 17 tools.
- You never see Korean formats: a general converter is simpler.
- You cannot work from mostly Korean documentation: the main README is in Korean, though an English one exists.
- You are memory-constrained: parallel conversion with `--jobs` raises memory use, and Node.js 20+ is required.
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