Extract structured data from invoices
Receive a validated JSON object containing invoice details like total amount and vendor, enabling automated accounting or payment processing without manual data entry.
How it works
Read-onlyFinance and payments
The agent first checks the available schema templates to identify the 'invoice' template. It then calls the parse endpoint with the document URL and the schema_id. Finally, it reviews the confidence score and the 'review_needed' flag to ensure the extraction was successful before using the data.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Prompt for Extract structured data from invoices
Extract the invoice details from https://example.com/invoice.pdf using the built-in invoice template. Return the structured JSON data.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
Built-in ids: invoice , receipt , resume , bank_statement , purchase_order , business_card , packing_slip , and contract .Docs — AIDataParser API