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Smart scan

In this guide we'll explore calculating smart scan emission estimates using an invoice processed in Mindee.

Mindee performs OCR of receipts, the output of which is supported by Lune to estimate emissions.

Prerequisites​

In order to proceed with the steps provided you need

  • A Mindee account and are already scanning invoices.
  • An invoice you want to create an emission estimate for
  • A Lune API key
  • cURL and jq installed or your preferred tools

Smart Scan

Creating the smart scan estimate​

The first thing is to extract the invoice information using Mindee. This can then be used as the unstructured data when contacting Lune.

Build a smart scan estimate request. here. The unstructured_data property will be used to send Mindee response, adapt all other fields as you see fit.

For this example, let's make it a scenario where we know beforehand that all of our receipts will be in USD and the category is cloud computing. To use the previously extracted invoice information and contact Lune in order to create the smart scan estimate we can use the sample command

  • Note: The command assumes the file downloaded in Mindee is called mindee.json and is present in the folder where you are running the command, adapt the filename with the correct path as necessary.

  • Sample cURL command
    • curl 'https://api.lune.co/v1/estimates/smart-scan' \
  -H "Authorization: Bearer $API_KEY" \
  -H 'Content-Type: application/json' \
  -X POST \
  -d '{
    "currency": "USD",
    "merchant": {
      "category": "cloud computing"
    },
    "unstructured_data": {
      "key_value": '"$(cat mindee.json)"'
    }
  }' | jq