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Check your Amazon Clothing & Accessories flat file for missing size, color, department, and other category-specific fields.
Starting from $5 — see pricing & bundlesDownload Clothing Template
Valid Amazon clothing flat file template with size and color
Seller Central → Inventory → Add Products via Upload → Clothing category
Upload your Clothing Flat File export file
Check your Amazon Seller data for errors and warnings
Output is in Validation Report format — ready to import directly, no manual reformatting needed.
In addition to standard fields (item_sku, item_name, brand_name, price), clothing requires: department_name, size_name, and color_name.
First rows are free to preview. Full validation uses credits based on row count.
Your file is processed entirely in your browser. No data is uploaded to our servers.
256-bit SSL encryption. Same standards as major financial institutions.
Files are processed directly in browser. No calls to our servers.
Full EU data protection compliance. Your privacy rights protected.
Validates size_name, color_name, and their Browse filter mappings are present and correct.
Validates department_name against Amazon's allowed values (mens, womens, boys, girls, etc.).
Get specific error messages with row numbers for quick debugging before upload.
Checks material_type, closure_type, sleeve_type, and neck_style formatting.
Files processed locally. Your product data never leaves your computer.
Get validation results in seconds, even for large clothing catalogs.
Issues you might encounter when importing Source data to Target - and how we solve them
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
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
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
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
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
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
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
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
The 'department_name' column is required for clothing
(blank department_name)
womens, mens, boys, girls
Department determines Browse node and sizing
Select from: mens, womens, boys, girls, unisex-adult
The 'size_name' column is required for clothing
(blank size_name)
Medium or M or 10
Size is required for clothing listings
Add size information for each product variation
The 'color_name' column is required for clothing
(blank color_name)
Navy Blue
Color is required for clothing listings
Add color for each product variation
Buy bundles and get up to 60% off. Perfect for recurring monthly conversions.
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