kordoc
★ 2.8k
vs
deepsql
★ 40
kordoc vs deepsql
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.; deepsql: DeepSQL is an AI-powered database agent for PostgreSQL and MySQL, allowing users to interact with their databases, generate queries, analyze performance, and manage schema using plain English. It is model-agnostic, enabling integration with various LLM providers like OpenAI, Azure OpenAI, or self-hosted models, while keeping all sensitive data and operations within the user's controlled environment.
01
TL;DR
kordocData Processing · ★ 2.8k
When to choose:
- 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.
When to skip:
- 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.
deepsqlData Processing · ★ 40
Database administrators or data engineers seeking AI assistance for routine tasks and performance tuning.
02
Side-by-Side Comparison
Field
kordocdeepsqlCategory
Data Processing
Data Processing
Stars
★ 2.8k
★ 40
License
MIT
Apache-2.0
Install Command
npm install kordoc
git clone https://github.com/DeepSQLAI/deepsql.git && cd deepsql && cp .env.example .env && ./scripts/self-host/install.sh
Updated
1d ago
3d ago
Open Source
Yes
Yes
Tags
Document Parsing, HWPX Conversion, PDF Processing
Database Agent, PostgreSQL, MySQL
03
Features
kordoc01Convert documents to Markdown, Intermediate Representation, page-by-page text, and RAG chunks, with local OCR support.
02Compare and edit documents at block and cell levels, preserving HWPX and HWP formatting during patching.
03Generate HWPX documents from Markdown, supporting official document presets, tables, formulas, and charts.
04Fill out forms and templates, including standard official draft documents and digital stamp imprinting.
05Preview HWPX/HWP, extract specific areas, check structure and notation, and mask personal information.
deepsql01Answer BI questions in plain English by generating, validating, and executing read-only SQL.
02Identify and fix slow queries by analyzing logs and flagging regressions against baselines.
03Provide index recommendations and apply them concurrently on PostgreSQL without table locks.
04Monitor and track schema changes to detect drift before it impacts queries or dashboards.
05Establish a 'brain' that understands business metrics, rules, and conventions for consistent query generation and recommendations.
04
Use Cases
kordoc↳Converting diverse document formats (HWPX, PDF, DOCX) to Markdown for easier processing and content management.
↳Extracting structured data from official documents like tables for analysis or integration into databases.
↳Integrating with AI agents (e.g., Claude) to provide advanced document parsing, generation, and comparison capabilities.
↳Automating the generation of official documents (e.g., reports, proposals) from Markdown with specific presets.
↳Programmatically filling out forms and templates, including adding stamps for official document workflows.
deepsql↳Database administrators or data engineers seeking AI assistance for routine tasks and performance tuning.
↳Business analysts or stakeholders needing to get insights from databases using natural language without writing SQL.
↳Teams aiming to automate the generation of dashboards and reports based on business context.
↳Organizations looking for a secure way to integrate LLMs with their databases, keeping data within their own infrastructure.
↳Developers wanting to enhance their coding agents with direct, safe database interaction capabilities.
05
Best For
kordocTrending
deepsql—
FAQ
FAQ
What is the difference between kordoc and deepsql?
Both kordoc and deepsql are in the Data Processing category. kordoc has 2.8k stars, while deepsql has 40 stars.
Which is better, kordoc or deepsql?
The best choice depends on your use case. Choose kordoc if Converting diverse document formats (HWPX, PDF, DOCX) to Markdown for easier processing and content management., and deepsql if Database administrators or data engineers seeking AI assistance for routine tasks and performance tuning..
Is kordoc free or open source?
Yes, kordoc is open source on GitHub (MIT).
Is deepsql free or open source?
Yes, deepsql is open source on GitHub (Apache-2.0).
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