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paddleocr-doc-parsing

Parse documents using PaddleOCR's API. Supports both sync and async modes for images and PDFs.

hiotec0 source installs☆ 0 Repository stars

Installation

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skillhub install hiotec/paddleocr-doc-parsing-v2

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Skill instructions

PaddleOCR Document Parsing

Parse images and PDF files using PaddleOCR's API. Supports both synchronous and asynchronous parsing modes with structured output.

Resource Links

Resource Link
Official Website https://www.paddleocr.com
API Documentation https://ai.baidu.com/ai-doc/AISTUDIO/Cmkz2m0ma
GitHub https://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

  1. Visit PaddleOCR to obtain your API credentials
  2. 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"

Usage Examples

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

# Verbo...

Source information

Source
github
Repository
openclaw/skills
Path
skills/hiotec/paddleocr-doc-parsing-v2
Version
—
Commit
28c7028d454f1aa5ae9195f7619e42672042fc39
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# PaddleOCR Document Parsing

Parse images and PDF files using PaddleOCR's API. Supports both synchronous and asynchronous parsing modes 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)
- **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

1. Visit [PaddleOCR](https://www.paddleocr.com) to obtain your API credentials
2. Set environment variables:

```bash
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"
```

## Usage Examples

### Sync Mode (Default)

For small files and quick processing:

```bash
# 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

# Verbo...

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