deepread

What This Skill Does

DeepRead is an AI-native OCR platform designed for production-grade document processing. It transforms PDFs and images into high-accuracy structured data with minimal manual intervention. By utilizing advanced multi-model consensus, DeepRead achieves an industry-leading 95%+ accuracy rate. The core philosophy of the skill is to eliminate manual data entry; it automatically flags uncertain fields for human review (the 'hil_flag' feature), which typically reduces the manual workload from 100% to just 5-10%. It excels at text extraction, converting complex documents into clean markdown, and outputting JSON data with embedded confidence scores.

Installation

To integrate the DeepRead skill into your OpenClaw environment, ensure you have your API key ready from the DeepRead Dashboard. You can install the skill via the terminal using the following command: clawhub install openclaw/skills/skills/uday390/clawdhub-skill

After installation, configure your credentials by adding the following snippet to your clawdbot.config.json5 file:

{
  "skills": {
    "entries": {
      "deepread": {
        "enabled": true,
        "apiKey": "your_api_key_here"
      }
    }
  }
}

Use Cases

DeepRead is ideal for high-volume document environments including:

• Invoice & Receipt Processing: Automatically extract line items, totals, and vendor information to sync with accounting software.
• Legal Document Summarization: Convert scanned contracts into structured text for easier search and analysis.
• Logistics & Supply Chain: Digitize bills of lading and packing slips at scale with multi-pass validation.
• Data Migration: Converting legacy paper archives into searchable digital formats.

Example Prompts

1. "DeepRead, process the invoice file located in my downloads folder and output the results to a structured JSON file."
2. "Extract all text from the scanned contract document and tell me if any fields were flagged for human review due to low confidence."
3. "Use DeepRead to parse the set of receipts in the /quarterly-expenses directory and notify my webhook when the jobs are complete."

Tips & Limitations

• Efficiency: Use the webhook integration instead of polling to receive instantaneous notifications when processing finishes (usually 2-5 minutes per document).
• Accuracy: While 95%+ accuracy is the standard, always monitor the hil_flag output for documents with low-resolution text or complex layouts.
• Free Tier: You can process up to 2,000 pages per month at no cost; ensure you monitor your usage metrics within the dashboard to avoid service disruption if your volume exceeds this limit.