# Paddleocr Doc Parsing

> Parse documents using PaddleOCR's API. Use when this capability is needed.

- Skill: `tomevault-io/paddleocr-doc-parsing-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/paddleocr-doc-parsing-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/paddleocr-doc-parsing-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/paddleocr-doc-parsing-2

---


# PaddleOCR Document Parsing

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

## 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-Structure, 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-doc/AISTUDIO/Xmjclapam

---
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<!-- tomevault:4.0:skill_md:2026-04-13 -->