Importing records
Import records from CSV files using the 4-step import wizard — upload, map columns, review values, and execute.
Auxx.ai's import wizard lets you bulk-create records from CSV files. The process walks you through four steps: upload your file, map columns to fields, review resolved values, and execute the import.
Start an import
- Open any custom entity's records page
- Click Import in the top-right
- The import wizard opens
Step 1: Upload CSV
Upload a CSV file by dragging it onto the upload area or clicking to browse. The file must be a valid CSV with headers in the first row.
File size limits:
| Size | Behavior |
|---|---|
| Under 2 MB | Uploaded in a single request |
| 2–20 MB | Uploaded in chunks automatically |
| Over 20 MB | Rejected — split your file into smaller parts |
Step 2: Map columns
Match each CSV column to a field on the entity. The wizard shows sample values from your file to help you identify the right mapping.
For each column, choose one of:
- Entity field — map to a specific custom field
- System field — map to a built-in field (for system entities)
- Skip — ignore this column
Relationship columns are mapped by matching the display name of the related record. For example, a "Category" column maps to a relationship field and Auxx.ai looks up categories by name.
Step 3: Review values
The wizard validates and resolves all values before importing. For each row, you'll see:
- Valid — value parsed and ready to import
- Warning — value resolved but may need review
- Error — value could not be resolved (e.g., no matching related record found)
- Create — a new related record will be created
You can override individual values or fix errors before proceeding. Date and number values are automatically parsed from common formats.
Step 4: Execute
Review the import summary showing how many records will be created, updated, or skipped. Click Execute to run the import.
After completion, you'll see results:
| Stat | Description |
|---|---|
| Created | New records added |
| Updated | Existing records modified |
| Skipped | Rows skipped (duplicates or rules) |
| Failed | Rows that encountered errors |
Failed rows include per-row error details so you can fix and re-import them.
Import history
View past imports and their statuses from Account & Security > Import History. Each import shows the file name, entity, date, and outcome counts.