laiye-doc-processing

What This Skill Does

The Laiye Agentic Document Processing (ADP) skill is an enterprise-grade AI solution designed to automate the extraction of structured data from complex documents. Utilizing advanced Vision Language Models (VLM) and Large Language Models (LLM), this tool transforms unstructured data found in invoices, receipts, purchase orders, and multi-page reports into actionable JSON or Excel formats. It supports over 10 file formats, including PDF, DOCX, and various image formats. Unlike basic OCR tools, this skill provides confidence scoring per field, ensuring users can programmatically verify the reliability of extracted data before it enters downstream business workflows.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/anna4lucky-stack/adp-skill

After installation, you must configure your API credentials. It is highly recommended to store your ADP_ACCESS_KEY, ADP_APP_KEY, and ADP_APP_SECRET as environment variables. For local configurations, ensure your ~/.openclaw/openclaw.json file has restricted permissions (e.g., chmod 600) to prevent unauthorized access to your keys.

Use Cases

• Accounts Payable Automation: Automatically extract invoice numbers, line items, tax details, and total amounts from vendor PDFs to trigger accounting entries.
• Logistics & Supply Chain: Process shipping manifests, bills of lading, and purchase orders to update inventory and delivery status databases.
• Expense Management: Scan and digitize physical receipts to automatically categorize spending and feed data into corporate finance platforms.
• Contract Analysis: Quickly parse key terms, dates, and parties from standard contracts or agreements.

Example Prompts

1. "Extract all line items and the grand total from this invoice: [file_url] and save it to my finance report."
2. "Process the attached receipt and return the merchant name, date, and total amount in JSON format."
3. "Can you read this shipping document and pull the tracking number and delivery address?"

Tips & Limitations

• Confidence Thresholds: Always check the confidence score in the API response. For scores below 0.85, consider triggering a human-in-the-loop verification step.
• Data Privacy: As this skill uses an external API, ensure that sensitive documents are handled according to your organization's data compliance policies.
• Performance: For large multi-page documents, note that latency may increase proportionally; process critical documents in batches if required.
• Security: Never hardcode credentials in your source code or version control systems. Always rotate your keys regularly.