Anyparse Skill

Use the AnyParse API to extract content from various documents. Supports PDF, Word, Excel, CSV, TSV, images, PPT, HTML, Markdown, Epub, ipynb, RST, EML, and many other formats. Supports document orientation classification, layout analysis, and layout preservation. Use this skill when users need to parse documents, extract document content, or convert documents into structured text.

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:

   bash

   pip install -r scripts/requirements.txt
   

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

   json

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

   Or configure them through environment variables:

   bash

   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)

bash

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

Enable Document Orientation Classification

bash

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

Enable Document Rectification

bash

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

Disable Layout Analysis

bash

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

CLI Reference

text

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

Parameter	Required	Description
--file	Yes	Local file path
--use_doc_cls	No	Use document orientation classification
--use_doc_rectifier	No	Use document rectification
--no_doc_layout	No	Do not use document layout analysis

Response Format

json

{
  "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