> ## Documentation Index
> Fetch the complete documentation index at: https://docs.abbyy.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Classification scenarios

> Classification scenarios in ABBYY FlexiCapture: sort documents, assemble pages into documents, detect documents to process, and route support requests.

The ABBYY FlexiCapture classification feature can be used to determine:

* **Document types** (for example, you can sort incoming documents into invoices and passports)
* **Document variants** (for example, you can distinguish invoices from different vendors or driver's licenses issued in different states)
* **Where one document ends and another document begins** (for example, you can divide the pages of documents of each type into the "first page" and "all other pages")

The ABBYY FlexiCapture classification feature can be used to implement the following scenarios.

## Automatic sorting of incoming documents

For example, a company receives the following two types of documents — invoices and contracts. The job of ABBYY FlexiCapture is to automatically separate documents of one type from the other. The sorted documents are then forwarded to the appropriate departments responsible for their processing. Invoices should not be forwarded to the legal department, as this will distract the lawyers from contracts and delay the processing of the misplaced invoices by the accounting department.

## Assembly of page images into documents followed by automatic sorting

For example, a company scans pages but they are not assembled into documents during scanning. Instead, the classification feature is used to classify the pages. Then ABBYY FlexiCapture assembles the classified pages into documents and determines the type of each document.

## Detection of documents that need to be processed

For example, a company receives a PDF file which contains various documents related to a particular case, such as a mortgage application. The job of ABBYY FlexiCapture is to detect documents of certain types (for example, passports) and to extract fields only from that type of document, saving the remaining pages as a searchable PDF file.

## Support request processing

For example, a bank receives various types of support requests from its customers. Support requests are automatically classified based on their content (for example, new payment details, bounced payment, and loss of a credit card). Urgent requests are separated from non-urgent ones and forwarded to the respective support specialist.