AnyParse Document Parsing and Extraction Skill

Use the AnyParse API to extract structured text content from multiple document formats.

When to Use

• Extract text content from documents
• Convert scanned documents/images into structured text
• Preserve document page layout and identify content in different regions
• Automatically classify document orientation (landscape/portrait) to improve recognition accuracy
• The user mentions "document parsing", "OCR", "text extraction", "content extraction", or "document conversion"

Key Features

• Multi-format support: Supports common document formats and image formats
• Layout analysis: Preserves information about the original document layout
• Document orientation classification: Automatically recognizes landscape/portrait documents to improve accuracy
• Structured output: Returns complete page layouts and full text
• Local deployment: Supports private local deployment, keeping data privacy under your control

Prerequisites

• The AnyParse API service has been deployed, and its access URL and key have been configured

Security Notes

• This skill does not perform any operations other than runtime package installation
• It only sends requests to the AnyParse API service you configured
• It only reads the API URL and key from environment variables or configuration files

⛔ Mandatory Restrictions - Do Not Violate ⛔

1. Use only the AnyParse API - Run python scripts/api.py to complete parsing
2. Never parse documents yourself - Do not attempt to extract text by yourself
3. Do not provide alternatives - Do not say things like "I can try to analyze it"
4. If the API fails - Show the error message and stop immediately
5. Do not use fallback methods - Do not attempt to extract text in any other way

Installation and Configuration

1. Deploy the AnyParse service (see the official project documentation)

2. Install dependencies:

   pip install -r scripts/requirements.txt
   

3. Configure: edit scripts/config.json and enter your API URL and key:

   {
     "anyparse_api_url": "http://your-api-host:port/anyparse/invoke/v1",
     "anyparse_api_key": "your-api-key-here"
   }
   

   Or configure them through environment variables:

   export anyparse_api_url=http://your-api-host:port/anyparse/invoke/v1
   export anyparse_api_key=your-api-key-here
   

Usage

Parse a Local File (layout analysis enabled by default)

python scripts/api.py --file /path/to/document.pdf

Enable Document Orientation Classification

python scripts/api.py --file /path/to/image.jpg --use_doc_cls

Enable Document Rectification

python scripts/api.py --file /path/to/image.jpg --use_doc_rectifier

Disable Layout Analysis

python scripts/api.py --file /path/to/document.pdf --no_doc_layout

CLI Reference

python {baseDir}/scripts/api.py --file PATH [--use_doc_cls] [--no_doc_layout]

Response Format

{
  "code": 2000,
  "msg": "success",
  "data": {
    "metadata": {
      "file_md5": "f484351567161df1e5e4d9d4b861c594",
      "file_type": "jpg",
      "file_name": "image.jpg",
      "file_size": "8.10/KB"
    },
    "pages": [
      {
        "id": 1,
        "content": "$10^{9}/L$",
        "layout": [
          {
            "order_id": 0,
            "label_name": "text",
            "box": [0, 0, 196, 80],
            "task": "text",
            "parse_text": "$10^{9}/L$"
          }
        ],
        "elapse_times": 1.9343271255493164
      }
    ],
    "content": "$10^{9}/L$",
    "elapse_times": 1.9524128437042236
  }
}

Key fields:

• code — API status code; 2000 means success
• msg — Status message
• data.metadata — File metadata
• data.pages[].layout[] — Layout information for each region, including position and parsing result
• data.content — Merged text result for the entire document

Error Handling

API URL not configured: → Tell the user to configure anyparse_api_url in config.json or environment variables

API key not configured: → Tell the user to configure anyparse_api_key in config.json or environment variables

File does not exist: → Check whether the file path is correct

Non-2000 status code: → Show the API error message to the user

Missing dependencies: → Tell the user to run pip install -r scripts/requirements.txt to install dependencies