Shopify's payout export occasionally drops the 'Type' column value for manual adjustments, which breaks our downstream accounting pipeline. The validator catches these blanks instantly — we fix them in the CSV before the data ever reaches QuickBooks.
Shopify Payouts CSV Validator
Check your Shopify Payments transactions CSV export for missing columns and data errors.
Free preview — then from $5. Save with bundles.Shopify Payouts Validation Questions
What columns are required?
Required columns are Transaction Date, Type, and Amount. Optional columns include Fee, Net, Order, Payout Date, and Card Brand.
Is the Shopify Payouts validator free?
You can preview Shopify Payouts validation results for free — no signup needed. Full validation reports use credits based on row count.
How do I export all transaction history?
Go to Settings > Payments > View payouts > View Transactions, then select your date range and click Export.
How Shopify Payouts Validation Works
Export from Shopify
Orders → Export → Export transaction histories
Upload CSV
Upload your Payouts/Transactions export file
Review Validation Results
Check your Shopify 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 Transaction Type
The 'Type' column identifying transaction type is missing
File without 'Type' column
Column with: charge, refund, adjustment, payout
Export from Shopify Payments → Payouts → Transactions
Ensure you're exporting the payout transactions view
Unknown Transaction Type
The 'Type' value is not a recognized Shopify transaction type
payment or sale
charge, refund, adjustment, payout, reserve
Only Shopify's standard transaction types are valid
Check if data was modified after export
Missing Payout Date
The 'Payout Date' column is required for reconciliation
(blank or missing column)
2025-01-15
Payout date links transactions to bank deposits
Re-export ensuring all columns are included
Why Validate Payout Data?
Bank Reconciliation Accuracy
What This Tool Checks
How People Use Shopify Payouts
We had a payout file where the Fee column showed zero for an entire batch of transactions, but the Net column was already reduced. The validator flagged the fee-to-net mismatch on 47 rows so we could correct the fees before bank reconciliation went sideways.
Our biggest headache was the Available On date column using inconsistent date formats — some rows had MM/DD/YYYY while others used YYYY-MM-DD within the same file. The validator caught every format inconsistency so we could standardize before importing into our reconciliation system.
Why Validate Shopify Payouts Before Import?
Column Validation
Checks for required columns: Transaction Date, Type, and Amount.
Fee Verification
Validates Fee and Net columns for accurate financial data.
Date Checking
Validates Transaction Date, Payout Date, and Available On formats.
Type Validation
Ensures transaction Type values are recognized (charge, refund, payout).
Browser-Based
Files processed locally. Your data never leaves your computer.
Instant Results
Get validation results in seconds, even for large files.
Your Shopify Payouts Data Stays Private
Local Processing Engine
Your Shopify Payouts files stay on your device. Processing happens client-side, nothing leaves your machine.
Zero Server Storage
Your Shopify Payouts 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 Shopify Payouts 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 Payouts/Transactions
Once your Shopify export passes validation, convert it to your accounting format
Date → JournalDate
Amount → Credits
Fees → Debits
Transaction Date / Payout Date → Date
Amount / Net → Amount
Type → Payee
Quick question before you go
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