The Scenario
You are a freelance project manager. You have been tracking 200 client projects in a Google Sheet for 18 months, columns for Project Name, Client, Start Date, End Date, Status, and Owner.
Two new team members are joining Monday. You promised them a proper Airtable base, not a shared spreadsheet, so they can see projects in gallery view, filter by client, and update statuses without risking the formula columns.
The manual path:
- You open Airtable, click "Add a base"
- You create a table called Projects
- You add fields: Project Name (text), Client (text), Start Date (date), End Date (date), Status (single select with four options), Owner (text)
- You go back to the sheet, start copying rows
- By record 40 you start pasting wrong fields into wrong columns
- You hit a date format error and spend 20 minutes troubleshooting
- Monday morning arrives and the base has 40 of 200 records.
The fast version fits in one prompt tonight.
The Easy Way: One Prompt in SheetXAI
SheetXAI creates the Airtable base, sets up the schema, and loads all 200 rows in one session, without you touching Airtable's UI.
Open the SheetXAI sidebar and type:
Create a new Airtable base called 'Client Projects 2025' with a table named 'Projects' and these fields: Project Name (text), Client (text), Start Date (date), End Date (date), Status (single select with options: Active, On Hold, Complete, Cancelled), Owner (text). Then create records for every row in this sheet using columns A through F for those six fields in order.
SheetXAI creates the base, adds the table with the correct field types, and loads all 200 rows. Single-select options get created automatically. Dates get parsed and formatted for Airtable's date field. By the time the prompt finishes, the base is ready and the team members can log in.
What You Get
A fully configured Airtable base with 200 records loaded:
- Correct field types — dates stored as dates, not text; Status as a single select with the options you specified
- Schema matches your data — no manual field configuration in Airtable's UI
- All 200 rows — not 40, not 150
- The original sheet untouched — it stays where it is until you are sure the migration is correct
Status values that do not match the configured options are flagged, not silently dropped or forced into the wrong option.
What If the Data Is Not Quite Ready
Project trackers accumulated over 18 months are rarely migration-ready. SheetXAI handles the cleanup inline.
When the Status column has legacy values that need consolidating
Over 18 months the sheet has accumulated "done," "Done," "Completed," "complete," and "DONE." The Airtable single select should only have one "Complete" option.
Normalize the Status column before creating the records. Map "done," "Done," "Completed," "complete," and "DONE" all to "Complete." Map "active" and "ACTIVE" to "Active." Then create the Airtable base and load the records.
When some rows are duplicates from a bad paste event six months ago
You pasted 30 rows twice during a migration last year and never cleaned them up.
Before creating the Airtable base, deduplicate this sheet on Project Name and Client combined. Keep the row with the later End Date for each duplicate. Then create the base and load the deduplicated records.
When the sheet has rows for projects that ended before 2024 and should not be migrated
The archive data should stay in the sheet. Only current and recent projects belong in the new base.
Filter to rows where End Date is on or after 2024-01-01 or where Status is Active or On Hold. Create the Airtable base 'Client Projects 2025' and load only those rows.
When the sheet has six columns but the Airtable base needs two more that you want computed
You want a Duration field (End Date minus Start Date in days) and a Year field for filtering, both derived from the sheet data.
Create the Airtable base 'Client Projects 2025' with the six standard fields plus a Duration field (number, days between Start Date and End Date) and a Year field (number, extracted from Start Date). Load all 200 rows, computing Duration and Year for each record during the import.
The pattern: describe the schema once and the source data once, and SheetXAI handles the setup and the load together.
Try It
Get the 7-day free trial of SheetXAI and open any sheet you want to migrate into Airtable, then describe the base name, the table, the fields, and ask it to load the rows. The Airtable integration is included in every SheetXAI plan. See also how to bulk-update existing Airtable records from a sheet or the Airtable in Google Sheets overview.