> 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/v1/docti/docti-overview.md).

# docTI Overview

## What is docTI

docTI is an LLM based solution that enables users to create within a few minutes an API to extract the precise data and fields they need from any form of document such as transport tickets, bank statements, tax returns, etc.

By defining the fields to extract on your specific documents, users can obtain a consistent model to accurately extract all of their documents with minimal human involvement.

The Mindee docTI can extract data in any languages, from both handwritten and printed text, photos, images, and multi-page pdfs, without any training.

Just as any LLM, docTI relies mainly on the text and the context it provides to extract data needed.

docTI offers to users a simple but powerful interface to build the data model (list of fields to extract from documents).

<figure><img src="/files/KC4TBOp8LlfBxlASkkIm" alt=""><figcaption></figcaption></figure>

## Using docTI

Below is a quick overview on how to tailor your document data extraction API using Mindee docTI

* [Set up your custom API](/v1/docti/set-up-your-custom-api.md).
* [Test it using the Live Interface.](/v1/platform-ui-tour/live-interface.md)
* [Edit your data model.](/v1/docti/edit-your-data-model.md)
* [Create an API key.](/v1/get-started/create-api-key.md)
* Set your custom Mindee REST API in your application code using the language of your choice.

For more in-depth information check How to build your document parsing API.


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