> For the complete documentation index, see [llms.txt](https://docs.zerve.ai/guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zerve.ai/guide/canvas-view/files/storing-files.md).

# Storing Files

## How Zerve stores files:

The file system in zerve uses S3 for storage and supports uploading of almost all the file types. It supports uploading of files up to 10GB in the base plan. 

## Upload files:

Users can drag and drop a file into the canvas or browse files using explorer.

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FIQKNeqjEeOp9UwUcB9R9%2Fuploads%2FxrEgn7ka6bvW7d7VdIkZ%2FScreen%20Recording%202025-03-27%20at%205.47.39%E2%80%AFPM.mp4?alt=media&token=c4ad0721-03d7-40e8-929f-34f81c94c093>" %}
Uploading files
{% endembed %}


---

# 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.zerve.ai/guide/canvas-view/files/storing-files.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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