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

# Import

> Bring tasks into Arca from CSV files to quickly get started.

If your tasks live in a spreadsheet or another tool, you can import them into Arca using a CSV file. This is the fastest way to migrate existing work without re-entering everything manually.

## Import steps

<Steps>
  <Step title="Open Settings">
    Go to **Settings > Import / export** in the sidebar.
  </Step>

  <Step title="Upload a CSV file">
    Click the import option and select your CSV file. It must have a header row.
  </Step>

  <Step title="Map columns to Arca fields">
    Match your CSV columns to Arca fields: title, list, folder, description, status, priority, due date, start date, assignees, and labels. Arca auto-detects common column names from other tools.
  </Step>

  <Step title="Preview and confirm">
    Review a preview of how the data will look, then confirm to start the import.
  </Step>
</Steps>

## CSV tips

* **Title** is the only required column, all other fields are optional.
* Use `YYYY-MM-DD` or `MM/DD/YYYY` format for dates (applies to both due date and start date).
* Separate multiple assignees or labels with commas.
* If a list, folder, status, or label in the CSV doesn't exist yet, Arca creates it automatically during import.
* Priority accepts text values: `urgent`, `high`, `medium`, `low`.
* Arca automatically recognizes common column names from tools like Notion, Linear, ClickUp, Trello, and others.

<Tip>
  Clean your CSV before importing: remove duplicates, fix date formats, and make
  sure every row has a title. This prevents errors mid-import.
</Tip>

<Danger>
  Completed tasks are not imported. If you want to keep completed tasks, change their status to an active one before exporting your CSV.
</Danger>