I used to upload flat files and wait two hours for Amazon to reject them with errors like 'value not valid for field.' The messages never said which row or what was wrong. Now I validate first — last week it caught 83 rows with missing brand_name fields and 12 with non-numeric prices. Fixed everything in five minutes instead of burning a whole afternoon on Seller Central support tickets.
Amazon Flat File Validator
or drop files here .csv, .txt, .tsv, .xls, .xlsx, .xlsm (up to 50 MB)
Free 5-row preview · No sign-up required
Invoice import blocked if Sales Tax enabled in QBO
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Validation Report Format
Showing valid rows only (download includes all rows + errors)
All rows valid
| $ |
|---|
+ more rows
valid rows
invalid rows skipped from preview
credits
| Row | Column | Value | Error |
|---|---|---|---|
Showing first 50 errors. more errors not shown.
more errors hidden. Download the full validation report to see all errors.
Validation Report Download
The download includes your original file with an added "Validation Error" column showing error messages for each row. Valid rows have an empty error column.
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- Full CSV & Excel export
- Google Sheets export
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Upload your actual file to get the real conversion
Check your Amazon flat file template for missing columns, data errors, and formatting issues before uploading to Seller Central.
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Amazon Flat File Validation Questions
What flat file formats are supported?
CSV, TSV (tab-separated), and Excel files (.xls, .xlsx). Amazon flat files are typically tab-delimited .txt files which this tool also accepts.
Is the Amazon Flat File validator free?
You can preview Amazon Flat File validation results for free — no signup needed. Full validation reports use credits based on row count.
What happens to my Amazon_Seller file during validation?
Your Amazon_Seller file is validated entirely in your browser — nothing is uploaded to any server. The Amazon Flat File validation runs client-side using JavaScript.
How Amazon Flat File Validation Works
1
Download Flat File Template
Seller Central → Inventory → Add Products via Upload → Download Template
2
Upload CSV
Upload your Generic Flat File export file
3
Review Validation Results
Check your Amazon Seller 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 Item SKU
The 'item_sku' column is required as the unique product identifier
(blank or missing item_sku)
PROD-001-BLK
Every product must have a unique SKU
Add a unique SKU identifier for each product row
Missing Item Name
The 'item_name' column is required for the product title
(blank item_name)
Premium Wireless Bluetooth Headphones - Black
Product title is required for listing creation (max 200 chars)
Add descriptive product titles following Amazon's style guide
Missing Brand Name
The 'brand_name' column is required for most categories
(blank brand_name)
TechBrand
Brand name must match your Brand Registry enrollment
Add your registered brand name to each product
Invalid Price
The 'standard_price' column contains non-numeric or negative values
TBD or -10.00
49.99
Price must be a positive number
Check for placeholder prices or data entry errors
Invalid Quantity
The 'quantity' column contains non-integer or negative values
-5 or 10.5
100
Quantity must be a non-negative integer
Review inventory levels and ensure whole numbers
Invalid Image URL
Image URL must be a valid HTTPS URL
C:\photos\image.jpg
https://example.com/images/product.jpg
Use publicly accessible HTTPS URLs for all images
Upload images to a hosting service first
Missing Bullet Points
No bullet points provided (recommended 3-5)
(all bullet_point columns blank)
bullet_point1: 'Key feature description'
Bullet points improve listing quality and conversion rate
Add at least 3 feature bullet points per product
Invalid Product ID Type
The 'external_product_id_type' value is not recognized
barcode or code
UPC, EAN, ISBN, ASIN, GTIN
Use one of Amazon's recognized ID types
Valid types: UPC, EAN, ISBN, ASIN, GTIN
Why Validate Flat Files?
Avoid Upload Rejections
Amazon rejects flat file uploads with missing required fields, invalid values, or formatting issues. Debugging rejections in Seller Central is slow and the error messages are often cryptic.
This validator checks your flat file before upload, catching errors you can fix immediately rather than waiting for Amazon's processing queue.
What This Tool Checks
We validate your flat file against Amazon's expected schema:
- Required fields present (item_sku, item_name, brand_name, standard_price)
- Data types correct (prices numeric, quantities integer)
- Enum values valid (condition_type, fulfillment_channel)
- Image URLs properly formatted
You get a detailed error report with row numbers.
How People Use Amazon Flat File
We manage bulk uploads for 18 brands and the error rate was killing us. One bad flat file with image URLs using HTTP instead of HTTPS got 600 product images rejected overnight. The validator flags every malformed URL, missing required field, and invalid condition_type before we touch Seller Central. Our import success rate went from 60% to 99%.
My supplier sends me product data in Excel and I convert it to Amazon's flat file format. Last month the validator caught that 47 rows had quantity values with decimal points — Amazon only accepts integers for quantity. It also found 8 SKUs with special characters that would have caused silent failures. Validated 3,500 rows in three seconds and fixed everything before upload.
Why Validate Amazon Flat File Before Import?
Required Field Check
Validates required columns like item_sku, item_name, brand_name, and standard_price.
Data Type Validation
Checks prices are numeric, quantities are integers, and enum values match Amazon's allowed values.
Row-Level Errors
Get specific error messages with row numbers for quick debugging before upload.
Image URL Checking
Validates that image URLs are properly formatted HTTPS URLs.
Browser-Based
Files processed locally. Your product data never leaves your computer.
Instant Results
Get validation results in seconds, even for large product catalogs.
Your Amazon Flat File Data Stays Private
Local Processing Engine
Your Amazon Flat File files stay on your device. Processing happens client-side, nothing leaves your machine.
Zero Server Storage
Your Amazon Flat File 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 Amazon Flat File files.
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Frequently Asked Questions
You can, but free scripts and AI often miss edge cases that break real-world data: missing SKUs, currency formatting quirks, tax calculation errors, or date format mismatches. We have battle-tested validators specifically designed for accounting software imports that catch these issues before they corrupt your books. Plus, you get instant browser-based conversion without installing Python or managing dependencies.
CSV, TSV (tab-separated), and Excel files (.xls, .xlsx). Amazon flat files are typically tab-delimited .txt files which this tool also accepts.
Required fields for the generic template: item_sku, item_name, brand_name, standard_price, and quantity. Category-specific templates may require additional fields.
This is the generic/universal validator. For category-specific validation (Clothing, Electronics, Home, Beauty), use our dedicated category validators that check additional required fields.
You can preview Amazon Flat File validation results for free — no signup needed. Full validation reports use credits based on row count.
Valid condition types: New, Refurbished, UsedLikeNew, UsedVeryGood, UsedGood, UsedAcceptable.
Your Amazon_Seller file is validated entirely in your browser — nothing is uploaded to any server. The Amazon Flat File validation runs client-side using JavaScript.
Download the error report which shows each error with row number and column. Fix the issues in your flat file and re-validate before uploading to Seller Central.
Yes. Validating before upload is recommended to avoid rejection delays. Amazon's processing queue can take hours, so catching errors upfront saves significant time.
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