Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
PaddleOCR Document Parsing V2
Parse documents using PaddleOCR's API. Supports both sync and async modes for images and PDFs.
skill openclawclawhub Free
Parse documents using PaddleOCR's API. Supports both sync and async modes for images and PDFs.
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, _meta.json, scripts/paddleocr_parse.py, scripts/paddleocr_parse.sh
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
- hioTEC
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
PaddleOCR Document Parsing
Parse images and PDF files using PaddleOCR's API. Supports both synchronous and asynchronous parsing modes with structured output.
Resource Links
ResourceLinkOfficial Websitehttps://www.paddleocr.comAPI Documentationhttps://ai.baidu.com/ai-doc/AISTUDIO/Cmkz2m0maGitHubhttps://github.com/PaddlePaddle/PaddleOCR
Key Features
Multi-format support: PDF and image files (JPG, PNG, BMP, TIFF) Two parsing modes: Sync mode: Fast response for small files (<600s timeout) Async mode: For large files with progress polling Layout analysis: Automatic detection of text blocks, tables, formulas Multi-language: Support for 110+ languages Structured output: Markdown format with preserved document structure
Setup
Visit PaddleOCR to obtain your API credentials Set environment variables: export PADDLEOCR_ACCESS_TOKEN="your_token_here" export PADDLEOCR_API_URL="https://your-endpoint.aistudio-app.com/layout-parsing" # Optional: For async mode export PADDLEOCR_JOB_URL="https://your-job-endpoint.aistudio-app.com/api/v2/ocr/jobs" export PADDLEOCR_MODEL="PaddleOCR-VL-1.5"
Sync Mode (Default)
For small files and quick processing: # Parse local image {baseDir}/paddleocr_parse.sh document.jpg # Parse PDF {baseDir}/paddleocr_parse.sh -t pdf document.pdf # Parse from URL {baseDir}/paddleocr_parse.sh https://example.com/document.jpg # Save output to file {baseDir}/paddleocr_parse.sh -o result.json document.jpg # Verbose output {baseDir}/paddleocr_parse.sh -v document.jpg
Async Mode
For large files with progress tracking: # Parse large PDF with async mode {baseDir}/paddleocr_parse.sh --async large-document.pdf # Parse from URL with async mode {baseDir}/paddleocr_parse.sh --async -t pdf https://example.com/doc.pdf # Save async result to file {baseDir}/paddleocr_parse.sh --async -o result.json document.pdf
Using Python Script Directly
# Sync mode python3 {baseDir}/paddleocr_parse.py document.jpg # Async mode python3 {baseDir}/paddleocr_parse.py --async-mode document.pdf # With output file python3 {baseDir}/paddleocr_parse.py -o result.json --async-mode document.pdf
Response Structure
{ "logId": "unique_request_id", "errorCode": 0, "errorMsg": "Success", "result": { "layoutParsingResults": [ { "prunedResult": [...], "markdown": { "text": "# Document Title\n\nParagraph content...", "images": {} }, "outputImages": [...], "inputImage": "http://input-image" } ], "dataInfo": {...} } } Important Fields: prunedResult - Contains detailed layout element information including positions, categories, etc. markdown - Stores the document content converted to Markdown format with preserved structure and formatting.
Mode Selection Guide
Use CaseRecommended ModeSmall images (< 10MB)SyncSingle page PDFsSyncLarge PDFs (> 10MB)AsyncMulti-page documentsAsyncBatch processingAsyncQuick text extractionSync
Error Handling
The script will exit with code 1 and print error message for: Missing required environment variables File not found API authentication failures Invalid JSON responses API error codes (non-zero)
Quota Information
See official documentation: https://ai.baidu.com/ai-doc/AISTUDIO/Xmjclapam
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
2 Scripts1 Docs1 Config
- SKILL.md
- scripts/paddleocr_parse.py
- scripts/paddleocr_parse.sh
- _meta.json