A Python and Claude tool that turns property-data report PDFs into structured fields for a real estate pricing analysis (CMA) workflow.
This tool turns property-data report PDFs into structured fields for a comparative market analysis (CMA), the pricing analysis used to price a home. It comes with standard intake and report templates, so every analysis starts and ends in the same format.
The tool is written in Python, a programming language that's good at working with files and data. It uses Claude, Anthropic's AI model, to turn each PDF into structured fields.
This project is a working example of our AI agent development and workflow automation services.
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