Upstage document parse

Skill UpstageAI/upstage-extensions-hub/skills/upstage-document-parse

Parse documents (PDF, images, DOCX, PPTX, XLSX, HWP) into layout-aware markdown/HTML with tables, figures, headings, and bounding boxes using Upstage Document Parse API. Use when user asks to convert documents to markdown/HTML, preserve layout/tables, or analyze document structure — '이 PDF를 마크다운으로 변환해줘', '문서 구조 분석해줘', '표/레이아웃 그대로 추출해줘', 'parse this PDF to markdown'. DO NOT use for plain text-only extraction with word coordinates — use upstage-ocr instead. DO NOT use for schema-driven field extraction (specific values like invoice total) — use upstage-information-extraction instead.From its SKILL.md

Install

npx -y skills add UpstageAI/upstage-extensions-hub --skill upstage-document-parse

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

4.5 KB, as published. Nobody here has run it

Upstage Document Parse

Convert documents into structured HTML/Markdown. Recognizes layout elements such as tables, images, equations, and charts with bounding box coordinates.

Quick Start

import os
import requests

with open("report.pdf", "rb") as f:
    response = requests.post(
        "https://api.upstage.ai/v1/document-digitization",
        headers={"Authorization": f"Bearer {os.environ['UPSTAGE_API_KEY']}"},
        files={"document": f},
        data={"model": "document-parse", "output_formats": "['markdown']"}
    )
print(response.json()["content"]["markdown"])

API Key: Always use os.environ["UPSTAGE_API_KEY"]. Get your key at console.upstage.ai.

Supported Formats

JPEG, PNG, BMP, PDF (up to 1000 pages with async), TIFF, HEIC, DOCX, PPTX, XLSX, HWP, HWPX

Sync vs Async

Mode	Endpoint	Max pages	Max file size	Notes
Sync	`/v1/document-digitization`	100	50 MB	Result returned in response (5 min server timeout). Best for ≤ 100 pages and quick turnaround.
Async	`/v1/document-digitization/async`	1000	50 MB	Returns `request_id`; processed in 10-page batches. Use when document exceeds sync limits or sync would time out.

Decision rule:

≤ 100 pages and expected to finish within 5 min → sync.
100 pages, scanned/complex content, or batch jobs → async.

For async submit/poll workflow, see references/async-workflow.md.

Key Parameters (Sync)

Parameter	Default	Common Values
`model`	required	`document-parse`
`output_formats`	`['html']`	`['markdown']`, `['html', 'markdown']`
`mode`	`standard`	`enhanced` (complex tables), `auto`
`ocr`	`auto`	`force` (always OCR scanned PDFs)
`coordinates`	`true`	`false` to omit bounding boxes

For full parameter reference and curl variations (enhanced mode, force OCR, base64 table images, LangChain integration), see references/sync-options.md.

Response Structure

{
  "api": "2.0",
  "model": "document-parse-251217",
  "content": {
    "html": "<h1>...</h1>",
    "markdown": "# ...",
    "text": "..."
  },
  "elements": [
    {
      "id": 0,
      "category": "heading1",
      "content": { "html": "...", "markdown": "...", "text": "..." },
      "page": 1,
      "coordinates": [{"x": 0.06, "y": 0.05}, ...]
    }
  ],
  "usage": { "pages": 1 }
}

Element Categories

paragraph, heading1, heading2, heading3, list, table, figure, chart, equation, caption, header, footer, index, footnote

Output Files

Default: write to <system-temp>/<input-stem>.parsed.<ext> where <ext> matches output_formats (md or html). Example: /tmp/report.parsed.md. Use tempfile.gettempdir() for cross-platform code.
Override: if the user specifies an output path, use it.
Always print the resolved absolute path in your response so the user can locate the file.

Tips

Use mode=enhanced for complex tables, charts, images
Use mode=auto to let API decide per page
Use async API for documents > 100 pages, > 50 MB, or when sync would exceed the 5-min timeout (async caps at 1000 pages)
Use ocr=force for scanned PDFs or images
merge_multipage_tables=true combines split tables (max 20 pages with enhanced mode)
Standard documents process in ~3 seconds; sync API timeout is 5 minutes

Detailed References

File	Content
`references/sync-options.md`	Full sync parameter reference, mode selection, curl variations, LangChain
`references/async-workflow.md`	Async submit/poll/status, Python polling pattern, retention rules