Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
upstage-document-parse
Parse documents (PDF, images, DOCX, PPTX, XLSX, HWP) using Upstage Document Parse API. Extracts text, tables, figures, and layout elements with bounding boxe...
skill openclawclawhub Free
Parse documents (PDF, images, DOCX, PPTX, XLSX, HWP) using Upstage Document Parse API. Extracts text, tables, figures, and layout elements with bounding boxe...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.4
Provenance
- Publisher
- upstage-deployment
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Upstage Document Parse
Extract structured content from documents using Upstage's Document Parse API.
Supported Formats
PDF (up to 1000 pages with async), PNG, JPG, JPEG, TIFF, BMP, GIF, WEBP, DOCX, PPTX, XLSX, HWP
Installation
clawhub install upstage-document-parse
API Key Setup
Get your API key from Upstage Console Configure the API key: openclaw config set skills.entries.upstage-document-parse.apiKey "your-api-key" Or add to ~/.openclaw/openclaw.json: { "skills": { "entries": { "upstage-document-parse": { "apiKey": "your-api-key" } } } }
Usage Examples
Just ask the agent to parse your document: "Parse this PDF: ~/Documents/report.pdf" "Parse: ~/Documents/report.jpg"
Sync API (Small Documents)
For small documents (recommended < 20 pages).
Parameters
ParameterTypeDefaultDescriptionmodelstringrequiredUse document-parse (latest) or document-parse-nightlydocumentfilerequiredDocument file to parsemodestringstandardstandard (text-focused), enhanced (complex tables/images), autoocrstringautoauto (images only) or force (always OCR)output_formatsstring['html']text, html, markdown (array format)coordinatesbooleantrueInclude bounding box coordinatesbase64_encodingstring[]Elements to base64: ["table"], ["figure"], etc.chart_recognitionbooleantrueConvert charts to tables (Beta)merge_multipage_tablesbooleanfalseMerge tables across pages (Beta, max 20 pages if true)
Basic Parsing
curl -X POST "https://api.upstage.ai/v1/document-digitization" \ -H "Authorization: Bearer $UPSTAGE_API_KEY" \ -F "document=@/path/to/file.pdf" \ -F "model=document-parse"
Extract Markdown
curl -X POST "https://api.upstage.ai/v1/document-digitization" \ -H "Authorization: Bearer $UPSTAGE_API_KEY" \ -F "document=@report.pdf" \ -F "model=document-parse" \ -F "output_formats=['markdown']"
Enhanced Mode for Complex Documents
curl -X POST "https://api.upstage.ai/v1/document-digitization" \ -H "Authorization: Bearer $UPSTAGE_API_KEY" \ -F "document=@complex.pdf" \ -F "model=document-parse" \ -F "mode=enhanced" \ -F "output_formats=['html', 'markdown']"
Force OCR for Scanned Documents
curl -X POST "https://api.upstage.ai/v1/document-digitization" \ -H "Authorization: Bearer $UPSTAGE_API_KEY" \ -F "document=@scan.pdf" \ -F "model=document-parse" \ -F "ocr=force"
Extract Table Images as Base64
curl -X POST "https://api.upstage.ai/v1/document-digitization" \ -H "Authorization: Bearer $UPSTAGE_API_KEY" \ -F "document=@invoice.pdf" \ -F "model=document-parse" \ -F "base64_encoding=['table']"
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
Async API (Large Documents)
For documents up to 1000 pages. Documents are processed in batches of 10 pages.
Submit Request
curl -X POST "https://api.upstage.ai/v1/document-digitization/async" \ -H "Authorization: Bearer $UPSTAGE_API_KEY" \ -F "document=@large.pdf" \ -F "model=document-parse" \ -F "output_formats=['markdown']" Response: {"request_id": "uuid-here"}
Check Status & Get Results
curl "https://api.upstage.ai/v1/document-digitization/requests/{request_id}" \ -H "Authorization: Bearer $UPSTAGE_API_KEY" Response includes download_url for each batch (available for 30 days).
List All Requests
curl "https://api.upstage.ai/v1/document-digitization/requests" \ -H "Authorization: Bearer $UPSTAGE_API_KEY"
Status Values
submitted: Request received started: Processing in progress completed: Ready for download failed: Error occurred (check failure_message)
Notes
Results stored for 30 days Download URLs expire after 15 minutes (re-fetch status to get new URLs) Documents split into batches of up to 10 pages
Python Usage
import requests api_key = "up_xxx" # Sync with open("doc.pdf", "rb") as f: response = requests.post( "https://api.upstage.ai/v1/document-digitization", headers={"Authorization": f"Bearer {api_key}"}, files={"document": f}, data={"model": "document-parse", "output_formats": "['markdown']"} ) print(response.json()["content"]["markdown"]) # Async for large docs with open("large.pdf", "rb") as f: r = requests.post( "https://api.upstage.ai/v1/document-digitization/async", headers={"Authorization": f"Bearer {api_key}"}, files={"document": f}, data={"model": "document-parse"} ) request_id = r.json()["request_id"] # Poll for results import time while True: status = requests.get( f"https://api.upstage.ai/v1/document-digitization/requests/{request_id}", headers={"Authorization": f"Bearer {api_key}"} ).json() if status["status"] == "completed": break time.sleep(5)
LangChain Integration
from langchain_upstage import UpstageDocumentParseLoader loader = UpstageDocumentParseLoader( file_path="document.pdf", output_format="markdown", ocr="auto" ) docs = loader.load()
Environment Variable (Alternative)
You can also set the API key as an environment variable: export UPSTAGE_API_KEY="your-api-key"
Tips
Use mode=enhanced for complex tables, charts, images Use mode=auto to let API decide per page Use async API for documents > 20 pages Use ocr=force for scanned PDFs or images merge_multipage_tables=true combines split tables (max 20 pages with enhanced mode) Results from async API available for 30 days Server-side timeout: 5 minutes per request (sync API) Standard documents process in ~3 seconds
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md