> For the complete documentation index, see [llms.txt](https://docs.mindee.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mindee.com/use-cases/extraction-models.md).

# Extraction Use Cases

Use Mindee to extract structured data from many document types.\
You can start from a template or build a custom model.

* **Start from the Catalog:** pick a ready-made model template (Invoice, Passport, etc.) and adapt its Data Schema to your needs.
* **Build a custom model:** create a custom model from scratch for documents unique to your needs.

Here are some examples of models you can build with Mindee:

## Finance & Business

* [**Invoice**](/use-cases/extraction-models/invoice.md)**:** Extract key data like supplier, amounts, due dates, and line items.
* [**Receipt**](/use-cases/extraction-models/receipt.md)**:** Capture totals, taxes, and line items for expense automation.
* [**Financial Document**](/use-cases/extraction-models/financial-documents.md)**:** Handle mixed inputs such as invoices or receipts in one workflow.
* [**Bank Statement**](/use-cases/extraction-models/bank-statement.md)**:** Extract account numbers, statement dates, and transaction data from bank statements.
* [**Payslip**](/use-cases/extraction-models/payslip.md)**:** Extract salary, employer, pay period, and deduction data from payslips.
* [**Bank Account Details**](/use-cases/extraction-models/bank-account-details.md)**:** Capture account-holder, IBAN, and banking details for onboarding or KYC flows.

## Identity & Verification

* [**International ID Card**](/use-cases/extraction-models/international-id-card.md)**:** Capture personal details for KYC or onboarding.
* [**Passport**](/use-cases/extraction-models/passport.md)**:** Parse official ID data from passports with high accuracy.
* [**Driver's License**](/use-cases/extraction-models/drivers-license.md)**:** Extract identity details from driver licenses for fast verification.
* [**Business Card**](/use-cases/extraction-models/business-card.md)**:** Extract names, job titles, email addresses, phone numbers, and company details.
* [**US Healthcare Card**](/use-cases/extraction-models/us-healthcare-card.md)**:** Capture member, provider, and plan details from US healthcare cards.
* [**European Vehicle Registration**](/use-cases/extraction-models/european-vehicle-registration.md)**:** Extract registration numbers, VINs, and owner details from EU vehicle registration documents.

## Travel & Logistics

* [**Boarding Pass**](/use-cases/extraction-models/boarding-pass.md)**:** Read passenger and flight details directly from airline passes.
* [**Bill of Lading**](/use-cases/extraction-models/bill-of-lading.md)**:** Extract key data like shipper, consignee, and items shipped.

## Labels & Packaging

* [**Nutrition Facts**](/use-cases/extraction-models/nutrition-facts.md)**:** Extract serving sizes, calories, and nutrient values from product labels.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.mindee.com/use-cases/extraction-models.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.