kordoc
모두 파싱해버리겠다, HWP·HWPX·PDF·Office 문서를 Markdown으로. 양식 자동 채우기와 신구대조를 갖춘 CLI·MCP 서버 | Convert Korean documents (HWP, HWPX, PDF, Office) to Markdown, CLI and MCP server with form filling and diff
Runssource: GitHubhomepageTypeScriptMITcommit dd4a08b77784
TypeScript, MIT licensed. The project labels itself: cli, document parser, docx, hancom, hwp, hwpx, korean and markdown.
kordoc runs. An Argusic agent installed it in 0.6 minutes and hit 1 error and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
kordoc 4.13.1 builds, all 1691 automated tests pass, the CLI parses HWPX and XLS files to Markdown correctly, and the library API returns structured parse results with fileType, markdown, blocks, and metadata.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- sharp 0.35.x requires Node >=20.9.0 but container has Node 18.19.1 — 14 tests fail at load time10 minutes
- Install time
- under a minute
- Cold machine to finish
- 28 minutes
- Errors hit and fixed
- 1 hit, 1 fixed with no human help
- How the result was proved
- npm test exited 0: 1691 passed, 0 failed, 7 skipped. node dist/cli.js tests/fixtures/dummy.hwpx printed correct markdown. node -e "require('./dist/index.cjs').parse('tests/fixtures/dummy.hwpx').then(r=>console.log(r.fileType,r.success))" returned hwpx true
- Model tokens used
- 189,213
- Exact commit tested
- dd4a08b77784
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
**Fix applied:** `sharp@^0.35.0` requires Node ≥20.9.0 — container has Node 18.19.1. Downgraded to …
**Tests:** 1691 passed, 0 failed, 7 skipped (benign — missing OCR models and optional large corpus …
**CLI verified:** `node dist/cli.js --version` → `4.13.1`; `node dist/cli.js tests/fixtures/dummy.h…
**API verified:** `parse('tests/fixtures/dummy.hwpx')` → `fileType: hwpx, success: true, pageCount:…
tokens used
189,213
All systems verified. Here's the final report:
**Install:** `npm install` and `npm run build` both succeed.
**Fix applied:** `sharp@^0.35.0` requires Node ≥20.9.0 — container has Node 18.19.1. Downgraded to …
**Tests:** 1691 passed, 0 failed, 7 skipped (benign — missing OCR models and optional large corpus …
**CLI verified:** `node dist/cli.js --version` → `4.13.1`; `node dist/cli.js tests/fixtures/dummy.h…
**API verified:** `parse('tests/fixtures/dummy.hwpx')` → `fileType: hwpx, success: true, pageCount:…Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 0.6 minutes, faster than the median of the 24 comparable projects Argusic has measured.
- Recovered from all 1 error without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
Of the 25 cli projects Argusic has installed and timed, kordoc was the 2nd fastest to reach a running state, and 23 of 25 reached one at all.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
- A quick evaluation: it was running 0.6 minutes after the clone.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
Topics (from GitHub)
clidocument-parserdocxhancomhwphwpxkoreanmarkdownmcpofficeparserpdfxlsx
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/kordoc)Questions
- Does kordoc run?
- Yes. kordoc runs. Argusic installed and launched it on a clean machine in 1 minutes, hitting 1 error on the way, and recorded the session.
- How did Argusic test kordoc?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit dd4a08b77784. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test kordoc?
- The run that produced this verdict cost $0.15: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does kordoc take to install?
- 0.6 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does kordoc need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing kordoc?
- 1 thing broke in the recorded run, and 1 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does kordoc compare with the alternatives?
- Of the 25 cli projects Argusic has installed and timed, kordoc was the 2nd fastest to reach a running state, and 23 of 25 reached one at all.
- Where is the evidence for kordoc?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.