Catch bad data before it hits your system.
Data validation software that checks CSV files for duplicates, missing fields, type errors, and formatting problems. Validate in the browser. Users fix it immediately. Your database stays clean.
Bad data causes real problems
Data gets into your system because you didn't catch it during import.
Duplicate customers
Same person appears twice. Billing breaks. Data integrity fails.
Missing required fields
Records are incomplete. You have to track people down for missing data.
Typos in email/phone
Can't contact the customer. Communications fail.
Wrong date formats
Dates are imported incorrectly. Reports show wrong timelines.
Invalid phone numbers
Sending SMS or calling fails. Integration breaks.
Whitespace and special characters
Lookups fail. Matching breaks. Manual cleanup required.
Validate BEFORE data enters your system
Import Builder validates while the user fills out the form. They see errors immediately and fix them before submitting.
Required field validation
Prevents blank fields. Every record is complete.
Duplicate detection
Identifies duplicates before they enter your database.
Type validation
Emails, web addresses, phone numbers, country codes, dates, numbers, and custom formats checked automatically.
Number range validation
Min/max values prevent out-of-range entries.
Date format validation
Accepts multiple formats. Validates against calendar.
Email validation
Catches typos and invalid email formats.
Text length limits
Minimum and maximum lengths, so values fit the system you import into.
URL validation
Catches values that aren't web addresses, with or without https:// required.
Phone number validation
Accepts any common layout, and catches letters, Excel's scientific notation and numbers with too few or too many digits.
Country code validation
Takes ISO codes such as US or GB in any case, and flags country names and codes like UK with the code to use.
See validation in real-time
Try entering invalid data and see how validation catches it. This is what your users will experience.
Validation rules for any data type
Text fields
Names, references, IDs, descriptions with optional length limits.
Numbers
With min/max ranges, decimal places, and negative number rules.
Emails
Validated against email format. Catches typos.
Dates
Choose the format each date column accepts: YYYY-MM-DD (with or without a time), DD/MM/YYYY or MM/DD/YYYY.
Boolean
Yes/No, True/False, enabled/disabled states.
Dropdowns
Restrict to predefined list of allowed values. No typos.
With validation. Without validation.
❌ Without validation
- Bad data gets into your database
- You discover problems too late
- Manual cleanup required
- Duplicate customers slip through
- Missing fields create incomplete records
- Users get frustrated and give up
✓ With validation
- Clean data goes into your database
- Problems caught in real-time
- Users fix it themselves
- Duplicate detection prevents duplicates
- Required fields ensure completeness
- Users submit with confidence
Your data stays in your control
All validation happens in your browser. We never see, store, or access the data your users enter. The spreadsheet contents are processed locally, and you control where the completed CSV goes.
Keep bad data out of your database
Build a validated data collection form. Catch problems before they become problems.
Start validating data freeNo credit card required. Start free.