> For the complete documentation index, see [llms.txt](https://docs.hivesigner.com/h/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hivesigner.com/h/guides/get-started/integrate-hivesigner.md).

# Integrate Hivesigner

In order to integrate Hivesigner into your application, you will need [Hive account](https://signup.hive.io).

## Create Hive account

If you don't have one yet you can create one on [signup.hive.io](https://signup.hive.io/) in with your app account.

## Enable app

After you have your account, go to <https://hivesigner.com/profile> and login with your app account and update account type as `"Application"` .

## Authorise Hivesigner

If you would like to use the OAuth 2 API for posting with HiveSigner server, you need to authorise the Hive account `"hivesigner"` to post on the behalf of your **app account**. [Click here](https://hivesigner.com/authorize/hivesigner) to do this and sign with your app account.

## Finalize app account details

You can edit your app settings by updating your app account profile. [Edit app settings](https://hivesigner.com/profile), add avatar for your app, define redirect URIs for your OAuth2 integration. Make sure your application/website handles redirect URIs correctly.

That's it, after above steps, you should be able to write OAuth2 logics and start integrating transactions signing.<br>


---

# 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:

```
GET https://docs.hivesigner.com/h/guides/get-started/integrate-hivesigner.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.