> For the complete documentation index, see [llms.txt](https://help.felt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.felt.com/getting-started/what-is-felt.md).

# What is Felt?

Learn how Felt combines mapping, GIS, and AI in your browser. Explore ways to analyze data, capture field data, and share maps.

Felt is a mapping and geographic information system (GIS) platform that runs in your web browser. Use it to map, style, and analyze data, capture field data, and share interactive maps and dashboards. Ask Felt AI to help you build a map and explain its work as you go.

To try it, [create an account](/getting-started/account-and-login.md#create-an-account), then [create your first map](/getting-started/create-your-first-map.md).

{% embed url="<https://40056855.fs1.hubspotusercontent-na1.net/hubfs/40056855/WhatisFelt_HelpCenter.mp4>" %}

## What you can do with Felt

With Felt, you can:

* Ask Felt AI: learn the controls, find data, run analysis, and style layers by asking in plain language. See [AI assistant](/felt-ai/ai-assistant.md).
* Add data: upload files (such as CSV, GeoJSON, and Shapefile), add data from URLs such as Google Sheets, connect databases, or add Global Library layers. See [Upload files](/upload-anything/files.md) and [Data sources](/upload-anything/data-sources.md).
* Style and explore: style layers by category or value, add labels and popups, and filter layers. See [Style vector layers](/styling/style-vector-layers.md).
* Draw: add pins, lines, shapes, and notes to a map. See [Draw on the map](/annotations/draw-on-the-map.md).
* Analyze: create new layers with operations such as buffer, join, and dissolve, or write SQL queries. See [Spatial analysis](/analysis-and-dashboards/spatial-analysis.md).
* Build dashboards and apps: add charts and filters, or build on Felt with extensions and APIs. See [Dashboards](/analysis-and-dashboards/dashboards.md) and [Extensions](/developers/extensions.md).
* Capture field data: use the Field App to add features and photos with forms, and work offline. See [Set up the Field App](/field-app/set-up-the-field-app.md).
* Share and collaborate: edit a map together in real time, comment, and embed maps in websites. See [Share a map](/share/share-a-map.md).

For example, a planning team can upload parcel data, color it by zoning, and embed the map on a project page.

Felt works in a modern browser on Mac, Windows, Linux, and ChromeOS, and the Field App runs on iOS and Android.

## Limits and map display

Felt doesn't cap features per layer or layers per map, and browser uploads can be up to 100 GB. See [Data limits](/upload-anything/data-limits.md).

Felt displays maps in the Web Mercator projection. Maps are two-dimensional: you can rotate them but not tilt them or view them in 3D. See [Navigate the map](/maps/navigate-the-map.md) and [Supported file types](/upload-anything/files/supported-file-types.md).

## Plans

Felt has a Free plan, paid Team, Business, and Enterprise plans, and a Classroom plan for teaching. See [Compare plans](https://felt.com/pricing#compare). A person's first workspace starts with a free 7-day trial of the Business plan and the Platform add-on. See [Billing](/plans-and-billing/billing.md).


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://help.felt.com/getting-started/what-is-felt.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
