1.Monitors pending analysis rows
Integrate PostgreSQL and database triggers to watch for new pending analysis rows and map ids and photo references to start extraction.
Create parsed receipt line items from uploaded photos
Automatically monitor pending analysis rows across PostgreSQL and route AI extraction across Zapier Tables, Google AI Studio (Gemini), and Zapier tools. Create and update parsed receipt line items when analysis rows are created, prompt matches are found, or JSON output arrives—so you can normalize items, create per-item records, and update completion status without manual data entry.
How this automation extracts receipt line items
When a new pending receipt analysis row appears, delays can stall downstream review. This automation looks up the prompt template, sends receipt photos for JSON-only extraction, parses line items, and writes per-item records and completion updates—so your team can scale receipt ingestion.
PostgreSQLor swap with your favorite app
2.Finds the prompt template
Integrate Zapier Tables and template lookup tools to find the prompt template by prompt name and map model and sampling params to guide parsing.
Zapier Tablesor swap with your favorite app
3.Sends a prompt with the photo
Integrate Google AI Studio (Gemini) and AI prompt execution tools to send the prompt template and attach the photo reference for JSON-only output.
Google AI Studio (Gemini)or swap with your favorite app
4.Parses JSON line item output
Integrate Code by Zapier and JSON parsing tools to convert the AI response into normalized line items and coerce numeric fields.
Code by Zapieror swap with your favorite app
5.Creates per-item rows and closes
Integrate Looping by Zapier and PostgreSQL to create per-item rows and then update the original analysis row with completion and metadata.
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