How it works

How to import CSV files into Airtable without breaking your data

Impora adds validation, mapping, and automation on top of Airtable imports so bad data gets stopped before it reaches your base.

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Impora file upload dropzone for CSV and Excel files
1

Upload or connect a file

Start with a CSV or Excel file, or connect a cloud folder your team already uses. This creates a controlled entry point for incoming data.

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Impora schema sync showing Airtable field types and structure
2

Sync your Airtable schema

Impora reads your base, table, and field setup so the import flow matches your real Airtable structure.

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Impora column mapping UI with Airtable fields and auto-matched columns
3

Map columns once

Match spreadsheet headers to Airtable fields and save the template for reuse across future uploads.

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Impora validation review showing row-level errors before import
4

Validate every row

Check required fields, formats, select values, and linked records before submission so errors are caught early.

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Impora import results showing successful record creation
5

Import clean data

Submit validated rows into Airtable with fewer failures and less manual cleanup.

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Impora automations setup showing manual, scheduled, and Airtable-triggered runs
6

Automate repeat imports

Connect folders to run the same validation and import process automatically for recurring files.

Why not use Airtable's native CSV import?

Airtable's built-in import has no validation layer, no linked record resolution, and no review step. Impora adds all three — whether you upload CSV to Airtable or need to handle linked records import in Airtable.

Try it yourself

Upload a sample CSV and see how Impora validates data before it reaches Airtable.