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

# Uploading files

> Bring CSV or Excel data into Xura for querying.

## Supported formats

* `.csv` (comma, tab, or semicolon delimited — Xura auto-detects)
* `.xlsx` (first sheet by default; per-sheet selection coming soon)

## Upload flow

**AI Studio → Data Sources → Upload**. Drag-drop or file picker.

1. **Parse** — Xura reads the file, infers column types.
2. **Classify** — LLM pass tags each column (Email, Deal Stage, Currency, Person Name, etc.).
3. **Index** — file becomes queryable.
4. **Review governance** — flagged columns need your input.

## Governance review

After upload, review columns Xura wasn't sure about. Each has:

* The column name.
* Sample values.
* Xura's suggested meaning + type.
* Confirm / edit / rename.

See [Governance](/ai-studio/governance) for depth.

## File size

* **Recommended**: under 10 MB, under 100K rows.
* Larger files work but query latency degrades. Consider a data platform + MCP server for very large data.