JSON schema: extract a U.S. invoice

JSON Schema to extract a U.S. invoice with an LLM: vendor, invoice number, dates, line items, subtotal, sales tax and total in USD.

Extract the invoice data. Amounts are plain numbers in U.S. dollars, without the $ sign. If a field is missing, leave it out: never invent it.

JSON Schema

{
  "type": "object",
  "required": [
    "vendor",
    "invoice_date",
    "total"
  ],
  "properties": {
    "total": {
      "type": "number"
    },
    "vendor": {
      "type": "string",
      "description": "Legal name of the vendor"
    },
    "currency": {
      "enum": [
        "USD"
      ],
      "type": "string"
    },
    "due_date": {
      "type": "string",
      "format": "date"
    },
    "subtotal": {
      "type": "number"
    },
    "sales_tax": {
      "type": "number",
      "description": "Sales tax amount, 0 if none"
    },
    "line_items": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "description",
          "amount"
        ],
        "properties": {
          "amount": {
            "type": "number"
          },
          "quantity": {
            "type": "number"
          },
          "unit_price": {
            "type": "number"
          },
          "description": {
            "type": "string"
          }
        }
      }
    },
    "invoice_date": {
      "type": "string",
      "format": "date",
      "description": "Issue date (YYYY-MM-DD)"
    },
    "invoice_number": {
      "type": "string"
    }
  }
}

Esempio di output

{
  "vendor": "Bright Print Co.",
  "invoice_number": "INV-2026-0412",
  "invoice_date": "2026-09-15",
  "due_date": "2026-10-15",
  "line_items": [
    {
      "description": "Business cards x500",
      "quantity": 1,
      "unit_price": 80.0,
      "amount": 80.0
    },
    {
      "description": "Flyers 5.5x8.5 x1000",
      "quantity": 1,
      "unit_price": 120.0,
      "amount": 120.0
    }
  ],
  "subtotal": 200.0,
  "sales_tax": 17.25,
  "total": 217.25,
  "currency": "USD"
}

Costo stimato

Token di input per chiamata : ≈ 656

Solo costo di input, esclusa la risposta del modello. Prezzi pubblici standard dei fornitori (Mistral AI, DeepSeek, OpenAI, Anthropic) convertiti da USD in euro al cambio BCE del 29 settembre 2026. Stima: 1 token ≈ 3,6 caratteri.

Identificativo

contextetech--extract-us-invoice

Tipo

Schemi di output

File

extract-us-invoice.schema.json

Formato

JSON (application/json)

Dimensione

1215 byte (1,2 KB)

Codifica

UTF-8

Token stimati

≈ 338

Lingua

Inglese

Licenza

MIT

Uso commerciale

Consentito

Dati personali

Nessuno

Versione

1.0

Pubblicato il

2 ottobre 2026 alle ore 21:54

Aggiornato il

2 ottobre 2026 alle ore 21:54

Archiviazione

nel database

Utilizzi

0

Mi piace

0

extract-us-invoice.schema.json

{
  "type": "object",
  "required": [
    "vendor",
    "invoice_date",
    "total"
  ],
  "properties": {
    "total": {
      "type": "number"
    },
    "vendor": {
      "type": "string",
      "description": "Legal name of the vendor"
    },
    "currency": {
      "enum": [
        "USD"
      ],
      "type": "string"
    },
    "due_date": {
      "type": "string",
      "format": "date"
    },
    "subtotal": {
      "type": "number"
    },
    "sales_tax": {
      "type": "number",
      "description": "Sales tax amount, 0 if none"
    },
    "line_items": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "description",
          "amount"
        ],
        "properties": {
          "amount": {
            "type": "number"
          },
          "quantity": {
            "type": "number"
          },
          "unit_price": {
            "type": "number"
          },
          "description": {
            "type": "string"
          }
        }
      }
    },
    "invoice_date": {
      "type": "string",
      "format": "date",
      "description": "Issue date (YYYY-MM-DD)"
    },
    "invoice_number": {
      "type": "string"
    }
  }
}

API Anthropic (Python)

import json, anthropic

schema = json.load(open("extract-us-invoice.schema.json"))
client = anthropic.Anthropic()
resp = client.messages.create(model="claude-sonnet-5", max_tokens=1024,
    tools=[{"name": "extraire", "description": "Renvoie les données extraites", "input_schema": schema}],
    tool_choice={"type": "tool", "name": "extraire"},
    messages=[{"role": "user", "content": "il tuo input qui"}])
print(resp.content[0].input)

Formato OpenAI (response_format)

{
  "type": "json_schema",
  "json_schema": {
    "name": "extract-us-invoice",
    "schema": {
      "type": "object",
      "required": [
        "vendor",
        "invoice_date",
        "total"
      ],
      "properties": {
        "total": {
          "type": "number"
        },
        "vendor": {
          "type": "string",
          "description": "Legal name of the vendor"
        },
        "currency": {
          "enum": [
            "USD"
          ],
          "type": "string"
        },
        "due_date": {
          "type": "string",
          "format": "date"
        },
        "subtotal": {
          "type": "number"
        },
        "sales_tax": {
          "type": "number",
          "description": "Sales tax amount, 0 if none"
        },
        "line_items": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "description",
              "amount"
            ],
            "properties": {
              "amount": {
                "type": "number"
              },
              "quantity": {
                "type": "number"
              },
              "unit_price": {
                "type": "number"
              },
              "description": {
                "type": "string"
              }
            }
          }
        },
        "invoice_date": {
          "type": "string",
          "format": "date",
          "description": "Issue date (YYYY-MM-DD)"
        },
        "invoice_number": {
          "type": "string"
        }
      }
    },
    "strict": true
  }
}