An AI-powered skill that extracts structured JSON data from invoices and receipts with high accuracy and human-in-the-loop validation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deepread-invoice
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deepread-invoice using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is DeepRead Invoice Processing?
DeepRead Invoice Processing is a specialized tool designed to transform unstructured documents like PDFs and images into actionable, typed JSON data. By leveraging advanced AI vision, this skill within the Openclaw Skills ecosystem allows developers to automate accounts payable, receipt management, and bookkeeping tasks with minimal effort. It provides detailed extraction for vendors, line items, taxes, and due dates, ensuring reliability with built-in confidence flags that highlight specific fields requiring human review.
DeepRead Invoice Processing Use Cases
- Accounts Payable automation to route incoming invoices for approval based on extracted totals.
- Receipt processing for seamless employee expense reimbursement and tax tracking.
- Matching purchase orders against vendor invoices to ensure audit compliance.
- Bulk-processing monthly billing documents into structured data for accounting systems.
- Verifying large-scale invoice data at scale using automated confidence scoring.
How DeepRead Invoice Processing Works
- The user submits an invoice PDF or image to the DeepRead API via a POST request.
- The skill applies a predefined or custom JSON schema to identify specific fields like vendor name, totals, and line items.
- An asynchronous processing job is created, and the agent polls the API for the completion status.
- Once finished, the skill returns structured JSON data, including a human-in-the-loop flag for any low-confidence fields.
- The high-confidence data is then available for auto-processing or integration into financial workflows.
DeepRead Invoice Processing Setup
First, obtain an API key from the DeepRead dashboard. Once you have your key, set the environment variable to enable the skill within the Openclaw Skills framework:
export DEEPREAD_API_KEY="sk_live_your_key_here"
You can then install the skill using the following command:
clawhub install uday390/deepread-invoice
DeepRead Invoice Processing Data Schema & Taxonomy
The skill organizes extracted information into a structured format. Below is the standard metadata taxonomy for an invoice extraction:
| Field | Type | Description |
|---|---|---|
| vendor | string | Company or vendor name on the document |
| invoice_number | string | Unique reference ID for the invoice |
| total | number | Final amount due including tax and discounts |
| currency | string | Currency code (USD, EUR, GBP, etc.) |
| line_items | array | List of descriptions, quantities, and unit prices |
| hil_flag | boolean | Boolean indicating if human-in-the-loop review is required |
DeepRead Invoice Processing Advanced Features
- Human-in-the-loop (HIL) flags that pinpoint exactly which fields need manual verification.
- Bring Your Own Key (BYOK) support to connect your own LLM providers (OpenAI, Google) and skip standard page quotas.
- Custom blueprints for recurring vendors that improve extraction accuracy by up to 30%.
- Parallel batch processing capabilities for handling hundreds of invoices simultaneously.
- Native integration with the broader suite of Openclaw Skills for OCR, PII redaction, and form filling.
SKILL.md
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