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PaddleOCR Document Parsing

Parse documents using PaddleOCR's API. Skill: PaddleOCR Document Parsing Owner: Bobholamovic Summary: Parse documents using PaddleOCR's API. Tags: latest:1.0.2 Version history: v1.0.2 | 2026-02-10T08:00:39.427Z | user - No changes detected in this release. v1.0.1 | 2026-02-09T13:29:36.477Z | user - Added a new "Resource Links" section with quick access to the official website, API documentation, and GitHub. - Updated the setup instructions to clarify algo

OpenClaw
View on ClawHub

Rank

62

Safety

84

Downloads

1.5k

Updated

Apr 15, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.5K downloads reported by the source. Last updated 4/15/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Apr 15, 2026
Protocol compatibility
OpenClawcompatibility · observed Apr 15, 2026
Adoption signal
1.5K downloadsadoption · observed Apr 15, 2026
Latest release
1.0.2release · observed Feb 10, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn77zppfj1a2fc620aygaf9z9980ewfa:paddleocr-doc-parsing
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-bobholamovic-paddleocr-doc-parsing/snapshot"

Documentation

CLAWHUB

7,680 characters of source documentation, loaded on request.

Extracted files

2 files captured from the source.

SKILL.md

---
name: paddleocr-doc-parsing
description: Parse documents using PaddleOCR's API.
homepage: https://www.paddleocr.com
metadata:
  {
    "openclaw":
      {
        "emoji": "📄",
        "os": ["darwin", "linux"],
        "requires":
          {
            "bins": ["curl", "base64", "jq"],
            "env": ["PADDLEOCR_API_URL", "PADDLEOCR_ACCESS_TOKEN"],
          },
      },
  }
---

# PaddleOCR Document Parsing

Parse images and PDF files using PaddleOCR's API. Supports multiple document parsing algorithms with structured output.

## Resource Links

| Resource              | Link                                                                           |
| --------------------- | ------------------------------------------------------------------------------ |
| **Official Website**  | [https://www.paddleocr.com](https://www.paddleocr.com)                                     |
| **API Documentation** | [https://ai.baidu.com/ai-doc/AISTUDIO/Cmkz2m0ma](https://ai.baidu.com/ai-doc/AISTUDIO/Cmkz2m0ma)         |
| **GitHub**            | [https://github.com/PaddlePaddle/PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) |

## Key Features

- **Multi-format support**: PDF and image files (JPG, PNG, BMP, TIFF)
- **Layout analysis**: Automatic detection of text blocks, tables, formulas
- **Multi-language**: Support for 110+ languages
- **Structured output**: Markdown format with preserved document structure

## Setup

1. Obtain credentials from the [PaddleOCR official website](https://www.paddleocr.com). Click the “API” button, choose the desired algorithm (e.g., PP-StructureV3, PaddleOCR-VL-1.5), and copy the API URL and the access token.
2. Set environment variables:

```bash
export PADDLEOCR_API_URL="https://your-endpoint-here"
export PADDLEOCR_ACCESS_TOKEN="your_access_token"
```

## Usage Examples

### Run Script

```bash
# Parse local image
{baseDir}/paddleocr_parse.sh document.jpg

# Parse local PDF file
{baseDir}/paddleocr_parse.sh -t pdf document.pdf

# Parse document from URL
{baseDir}/paddleocr_parse.sh -t pdf https://example.com/document.pdf

# Output to stdout (default)
{baseDir}/paddleocr_parse.sh document.jpg

# Save output to file
{baseDir}/paddleocr_parse.sh -o result.json document.jpg
```

### Response Structure

```json
{
  "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.

## Quota Information

See official documentation: https://ai.baidu.com/ai

_meta.json

{
  "ownerId": "kn77zppfj1a2fc620aygaf9z9980ewfa",
  "slug": "paddleocr-doc-parsing",
  "version": "1.0.2",
  "publishedAt": 1770710439427
}

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Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "vendor",
      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "href": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceUrl": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-04-15T00:45:39.800Z",
      "isPublic": true
    },
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      "category": "compatibility",
      "label": "Protocol compatibility",
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      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-bobholamovic-paddleocr-doc-parsing/contract",
      "sourceType": "contract",
      "confidence": "medium",
      "observedAt": "2026-04-15T00:45:39.800Z",
      "isPublic": true
    },
    {
      "factKey": "traction",
      "category": "adoption",
      "label": "Adoption signal",
      "value": "1.5K downloads",
      "href": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceUrl": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-04-15T00:45:39.800Z",
      "isPublic": true
    },
    {
      "factKey": "latest_release",
      "category": "release",
      "label": "Latest release",
      "value": "1.0.2",
      "href": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceUrl": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-02-10T08:00:39.427Z",
      "isPublic": true
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    {
      "factKey": "handshake_status",
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      "label": "Handshake status",
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      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-bobholamovic-paddleocr-doc-parsing/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true
    }
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  "events": [
    {
      "eventType": "release",
      "title": "Release 1.0.2",
      "description": "- No changes detected in this release.",
      "href": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceUrl": "https://clawhub.ai/Bobholamovic/paddleocr-doc-parsing",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-02-10T08:00:39.427Z",
      "isPublic": true
    }
  ]
}

Record generated Oct 9, 2026.

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