deepread

What This Skill Does

DeepRead is an advanced, production-grade AI-native OCR (Optical Character Recognition) platform designed to transform complex documents—including PDFs, images, and scanned physical paperwork—into clean, structured, and high-accuracy data. By leveraging multi-model consensus, the skill achieves an accuracy rate exceeding 97%. A standout feature is its intelligent Human-in-the-Loop (HIL) integration: the system automatically flags uncertain fields with a 'hil_flag' attribute, ensuring that users only need to dedicate time to reviewing specific exceptions rather than entire batches of documents. This functionality effectively reduces manual document processing labor by up to 90%. Whether you are digitizing archives or automating invoice processing, DeepRead removes the need for manual configuration or complex prompt engineering, providing reliable, structured JSON output in minutes.

Installation

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

clawhub install openclaw/skills/skills/deepread001/deepread-ocr

After installation, ensure you have your API key ready. Store it securely in your environment variables using export DEEPREAD_API_KEY="your_key_here". If using a configuration file, add the entry to your clawdbot.config.json5 file under the skills section, ensuring the enabled flag is set to true. Do not hardcode your API key directly in your configuration files.

Use Cases

• Automated Invoice Processing: Extract vendor names, line items, and total amounts directly into your accounting software.
• Legal Document Digitization: Convert scanned legal contracts into searchable markdown for database indexing.
• Logistics and Supply Chain: Process bills of lading and packing slips with high accuracy for inventory management.
• Research and Archiving: Convert historical document scans into machine-readable text for long-term storage.

Example Prompts

1. "DeepRead, please process the invoice.pdf file located in my documents folder and alert me via my webhook once the data is extracted."
2. "Use the DeepRead skill to convert the scanned report in 'q3_results.png' into structured JSON, highlighting any low-confidence fields for my review."
3. "Upload the contract to DeepRead and ensure the structured data includes a field for the signatory date."

Tips & Limitations

To maximize the efficiency of DeepRead, it is recommended to use the webhook-based processing method for larger documents to avoid timeout issues during polling. While the engine achieves 97%+ accuracy, ensure that your input files are of decent quality, as extremely blurry or damaged documents may result in a higher number of hil_flag triggers. The platform operates on a generous free tier of 2,000 pages per month, making it an excellent choice for scaling production workflows without high initial overheads. Avoid sending extremely large high-resolution images unnecessarily; downsampling images to a reasonable DPI often produces faster results with the same level of accuracy.