> For the complete documentation index, see [llms.txt](https://docs.rootcause.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rootcause.ai/more-details/data-management/uploading-datasets/file-uploads.md).

# File Uploads

The simplest way to get data into RootCause. Use file uploads for one-time analyses, spreadsheets from stakeholders, or exports from systems without native connectors.

**Supported formats:**

*Tabular data*

| Format    | Notes                                         |
| --------- | --------------------------------------------- |
| CSV / TSV | Comma- or tab-separated values                |
| Parquet   | Columnar format — recommended for large files |
| JSON      | JSON or newline-delimited JSON                |
| Excel     | `.xlsx` and `.xls` files                      |
| ODS       | OpenDocument spreadsheets                     |

*Documents*

| Format          | Notes                                |
| --------------- | ------------------------------------ |
| PDF             | Documents for analysis and reporting |
| Word            | `.docx` files                        |
| PowerPoint      | `.pptx` files                        |
| Markdown / Text | `.md`, `.markdown`, and `.txt` files |

*Media*

| Format | Notes                                                    |
| ------ | -------------------------------------------------------- |
| Image  | PNG, JPG, GIF, BMP, TIFF, and SVG                        |
| Video  | MP4, MOV, AVI, WebM, MKV, and other common video formats |

**To upload a file:**

1. Navigate to **Sources** and click **Import data**
2. Select **Local File Upload**, then drag and drop files into the upload area
3. Wait for the upload to complete
4. Review the detected schema

<figure><img src="/files/iqYswMKDW2Km7cfqiScq" alt="Import manager upload area ready for file drop"><figcaption><p>The upload area. Drag and drop files directly, or click to browse.</p></figcaption></figure>

**What happens on upload:**

1. The file is securely stored in your workspace's isolated data lake
2. Schema detection analyzes columns to determine data types
3. A data preview is generated for verification
4. The dataset becomes available across your workspace for Data Views, analysis, and reporting

<figure><img src="/files/cSA8sF4qPKTefaM0X0Ot" alt="Dataset detail view of the joined Customer Subscription info × Customer Details data, 4,998 rows across 21 columns, showing detected column types, per-column statistics, and a summary panel"><figcaption><p>The dataset view shows the detected schema, a preview with per-column statistics, and the summary panel: here the joined customer view, 4,998 rows across 21 columns.</p></figcaption></figure>