Square's customer export had phone numbers in three different formats — some with country codes, some with dashes, and some as raw digits. The validator flagged 340 rows with inconsistent phone formatting before our CRM import would have created duplicate customer records for the same people.
Square Customers CSV Validator
Check your Square customer directory CSV export for missing columns and data format issues.
Free preview — then from $5. Save with bundles.Square Customers Validation Questions
What columns are required?
Only Customer ID is required. All other fields are optional.
Is the Square Customers validator free?
You can preview Square Customers validation results for free — no signup needed. Full validation reports use credits based on row count.
How do I import a Square Customers CSV?
In Square Dashboard: Customers > Directory > Import customers. Upload a CSV, map fields, then import.
How Square Customers Validation Works
Export from Square
Customers → Import / Export → Export Customers → Download
Upload CSV
Upload your Customers Export export file
Review Validation Results
Check your Square data for errors and warnings
Issues are flagged inline with clear fix suggestions — review and correct before you import.
Common Target Import Errors
Issues you might encounter when importing Source data to Target - and how we solve them
Missing Customer ID
The 'Customer ID' column is required but not found
(blank Customer ID)
CUST123456789
Square generates unique customer IDs automatically
Re-export from Square Dashboard → Customers → Export
Invalid Email Format
The 'Email Address' column contains invalid emails
john.smith or @example
john.smith@example.com
Customer emails should be valid email addresses
This is a warning - customer may have invalid email in Square
Missing Customer Name
Customer has no given name or family name
(both names blank)
Given Name: John, Family Name: Smith
At least one name field is recommended
This is a warning - customer profiles can have minimal data
Why Validate Customer Data?
Customer Directory Integrity
What This Tool Checks
How People Use Square Customers
We needed to clean up our customer directory before a loyalty program launch. The validator caught 67 rows where the Email Address column had trailing spaces and 12 rows where Customer ID was blank — those orphaned records would have broken our email campaign integration.
Square exports address fields as separate columns but sometimes leaves State blank when Postal Code is present, or vice versa. The validator identified 89 incomplete address records so we could enrich them before the HubSpot import instead of discovering gaps in our segmentation later.
Why Validate Square Customers Before Import?
ID Validation
Checks for required Customer ID column.
Name Checking
Validates First Name, Last Name, and Company Name columns.
Contact Validation
Validates Email Address and Phone Number columns.
Address Checking
Validates Street Address, City, State, Postal Code, and Country columns.
Browser-Based
Files processed locally. Your data never leaves your computer.
Instant Results
Get validation results in seconds, even for large files.
Your Square Customers Data Stays Private
Local Processing Engine
Your Square Customers files stay on your device. Processing happens client-side, nothing leaves your machine.
Zero Server Storage
Your Square Customers files are never cached, logged, or stored anywhere. Every session is ephemeral.
Privacy-First Architecture
Designed for data sovereignty. No third-party trackers or analytics touch your Square Customers files.
More credits - more savings
Buy bundles and get up to 60% off. Perfect for recurring monthly conversions.
Frequently Asked Questions
After Validation: Convert Your Customers Export
Once your Square export passes validation, convert it to your accounting format
First Name + Last Name → Name
Company Name → Company
Email Address → Email
Given Name + Family Name → Name
Email Address → EmailAddress
Given Name → FirstName
Quick question before you go
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