Invoice
With Mindee, you can automatically parse invoices and extract structured financial data using the pre-trained Invoice model available in the Catalog.
Watch our quick demo to see how you can easily set up your custom invoice model with Mindee:
Why use Mindee for Invoices?
Invoices can vary widely by supplier, format, and layout. The Invoice model is designed to handle these differences, so you get consistent and reliable data extraction without custom development.
Common use cases:
Accounts payable automation
Expense and cost tracking
Tax and compliance reporting
Two Ways to Start Building your Invoice Model
1. Choose “Invoice” in the Catalog (Recommended)
Open the Document Catalog in your dashboard and select “Invoice.”
The model comes pre-configured with the standard financial fields listed above.
You can start using it right away, or adjust the schema in Data Schema if you need additional fields.
Once selected, you can immediately test the model with your own invoices.
2. Build a Custom Invoice Model with the AI Agent
If your workflow requires extra fields (e.g. purchase order number, IBAN, payment terms), you can describe them directly to the AI Agent.
Optionally upload a sample invoice for context.
The Agent will generate a tailored schema that extends beyond the built-in Invoice parser.
You can use this invoice sample if you want to try and do a live test yourself:

Document format support
The Invoice model accepts PDFs and common image formats (JPG, PNG). It works reliably with scanned, photographed, and digital invoices.
Invoice Fields
Documentation for all fields present in the data schema.
Field accessors are used as the keys for accessing the values in the returned data. On the data schema interface, this is the "Field Name".
Field value types indicate how the value is returned by the API. On the data schema interface, this is the "Field Type".
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