Extract entities from an invoice

Extract entities from an invoice document and return them in JSON.

You can query a model directly and test the results returned when using different parameter values with the Cloud console, or by calling the Vertex AI API directly. For an example of using the Vertex AI API, see Quickstart using the Vertex AI API. To view this sample in the Cloud console: Go to Google Cloud console

Prompt Freeform invoice.pdf You are a document entity extraction specialist. Given a document, your task is to extract the text value of the following entities: { "amount_paid_since_last_invoice": "", "carrier": "", "currency": "", "currency_exchange_rate": "", "delivery_date": "", "due_date": "", "freight_amount": "", "invoice_date": "", "invoice_id": "", "line_items": [ { "amount": "", "description": "", "product_code": "", "purchase_order": "", "quantity": "", "unit": "", "unit_price": "" } ], "net_amount": "", "payment_terms": "", "purchase_order": "", "receiver_address": "", "receiver_email": "", "receiver_name": "", "receiver_phone": "", "receiver_tax_id": "", "receiver_website": "", "remit_to_address": "", "remit_to_name": "", "ship_from_address": "", "ship_from_name": "", "ship_to_address": "", "ship_to_name": "", "supplier_address": "", "supplier_email": "", "supplier_iban": "", "supplier_name": "", "supplier_payment_ref": "", "supplier_phone": "", "supplier_registration": "", "supplier_tax_id": "", "supplier_website": "", "total_amount": "", "total_tax_amount": "", "vat": [ { "amount": "", "category_code": "", "tax_amount": "", "tax_rate": "", "total_amount": "" } ] } The JSON schema must be followed during the extraction. The values must only include text found in the document Do not normalize any entity value. If an entity is not found in the document, set the entity value to null. Response { "amount_paid_since_last_invoice": "0.00", "carrier": null, "currency": "$", "currency_exchange_rate": null, "delivery_date": null, "due_date": null, "freight_amount": null, "invoice_date": "02/23/2021", "invoice_id": "3222", "line_items": [ { "amount": "490.12", "description": "Drag Series Transmission Build - A WD DSM", "product_code": null, "purchase_order": null, "quantity": "1", "unit": null, "unit_price": "490.12" }, { "amount": "220.15", "description": "Drive Shaft Automatic Right", "product_code": null, "purchase_order": null, "quantity": "7", "unit": null, "unit_price": "31.45" }, { "amount": "549.10", "description": "Multigrade Synthetic Technology Bench", "product_code": null, "purchase_order": null, "quantity": "1", "unit": null, "unit_price": "549.10" }, { "amount": "1,187.79", "description": "6689 Transit Stan", "product_code": null, "purchase_order": null, "quantity": "1", "unit": null, "unit_price": "1,187.79" }, { "amount": "883.12", "description": "HMT Vertical Milling Machine", "product_code": null, "purchase_order": null, "quantity": "1", "unit": null, "unit_price": "883.12" }, { "amount": "87.54", "description": "Optional:\nHMT Machine", "product_code": null, "purchase_order": null, "quantity": "1", "unit": null, "unit_price": "87.54" } ], "net_amount": "3,417.82", "payment_terms": null, "purchase_order": null, "receiver_address": "45 Lightning Road,\nArizona, AZ 88776", "receiver_email": "[e-mail]", "receiver_name": "Martin Colby\nAbcxyz Traders", "receiver_phone": "321-321-1234", "receiver_tax_id": null, "receiver_website": null, "remit_to_address": null, "remit_to_name": null, "ship_from_address": null, "ship_from_name": null, "ship_to_address": "45 Lightning Road,\nArizona, AZ 88776", "ship_to_name": "Johnny Patel\nAbcxyz Traders", "supplier_address": "9291 Proin Road\nLake Charles, ME-11292", "supplier_email": "[e-mail]", "supplier_iban": null, "supplier_name": "AMNOSH\nSUPPLIERS", "supplier_payment_ref": null, "supplier_phone": "123-456-7890", "supplier_registration": null, "supplier_tax_id": null, "supplier_website": "www.amnoshsuppliers.com", "total_amount": "3,759.60", "total_tax_amount": "341.78", "vat": [ { "amount": null, "category_code": null, "tax_amount": "341.78", "tax_rate": "10.0", "total_amount": null } ] }

Model: gemini-2.5-pro Temperature: 0.2 Max output tokens: 8192 TopK: 40.0 TopP: 0.95