Dimension Validation
Checks item_length, item_width, and item_height are properly formatted numeric values.
Amazon Home Flat File Validator
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Invoice import blocked if Sales Tax enabled in QBO
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| Row | Column | Value | Error |
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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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Check your Amazon Home & Kitchen flat file for dimensions, material, room type, and other category-specific fields.
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Amazon Home Validation Questions
What home-specific fields are checked?
Additional fields checked: material_composition, item_length, item_width, item_height, pattern_name, room_type, and style_name.
Is the Amazon Home validator free?
You can preview Amazon Home 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 Home validation runs client-side using JavaScript.
How Amazon Home Validation Works
1
Download Home & Kitchen Template
Seller Central → Inventory → Add Products via Upload → Home & Kitchen category
2
Upload CSV
Upload your Home & Kitchen 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.
Why Validate Amazon Home Before Import?
Material Check
Validates material_composition field format for Home & Kitchen products.
Row-Level Errors
Get specific error messages with row numbers for quick debugging before upload.
Room & Style Fields
Validates room_type, style_name, and pattern_name for Browse filter compatibility.
Browser-Based
Files processed locally. Your product data never leaves your computer.
Instant Results
Get validation results in seconds, even for large product catalogs.
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
Invalid Product Dimensions
Dimension values must be numeric (in inches)
12 inches or 30cm
12.5 (numeric value in inches)
Enter dimensions as numbers only
Convert all measurements to inches as decimal numbers
Missing Material Composition
Material composition recommended for Home & Kitchen items
(blank material_composition)
Stainless Steel
Material helps customers filter and compare products
Add primary material for each product
How People Use Amazon Home
We uploaded 400 new furniture listings and forgot to convert dimensions from centimeters to inches. Amazon accepted the file but every shipping estimate was wrong — customers were getting quoted $8 shipping on 50-pound bookshelves. The validator now catches dimension formatting issues before they cause shipping calculation disasters. Found 67 non-numeric dimension values in our last upload.
One of my clients had material_composition entered as abbreviations like 'SS' for stainless steel and 'BW' for bamboo wood. Amazon's Browse filters couldn't match any of it, so the products were invisible in filtered searches. The preview showed me exactly which 280 rows had unrecognizable material values. Fixed the file in 20 minutes — their search visibility jumped within 48 hours.
I was getting random listing suppressions and couldn't figure out why. Turns out room_type had trailing spaces and style_name had inconsistent capitalization across 200 rows. The validator flagged every formatting issue row by row. My import rejection rate dropped from one in four uploads to basically zero.
Why Validate Home & Kitchen Flat Files?
Dimension and Material Requirements
Home & Kitchen products benefit from accurate dimensions and material information for shipping calculations and customer search filters.
Missing or incorrectly formatted dimension values cause shipping estimate errors and reduce search visibility in Amazon's Browse filters.
What This Tool Checks
In addition to standard flat file validation, we check:
- material_composition (text format)
- item_length, item_width, item_height (numeric in inches)
- pattern_name, room_type, style_name
- All values properly formatted for Amazon's system
Your Amazon Home Data Stays Private
Client-Side Validation
No server round-trips. Your Amazon Home data is processed entirely in the browser tab.
Auto-Erased on Close
The moment you close the page, all Amazon Home data is wiped from browser memory. No traces left.
EU Privacy Standard
Meets GDPR requirements by design — no data processing on external servers, ever.
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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.
Additional fields checked: material_composition, item_length, item_width, item_height, pattern_name, room_type, and style_name.
Enter dimensions as numeric values in inches without units. For example, enter "12.5" not "12.5 inches" or "30cm". The tool validates these are valid decimal numbers.
material_composition is not strictly required but strongly recommended. Products with material information rank higher in search and help customers filter results.
You can preview Amazon Home validation results for free — no signup needed. Full validation reports use credits based on row count.
Common room types include Kitchen, Living Room, Bedroom, Bathroom, Dining Room, Office, and Outdoor. Amazon accepts free-text values for this field.
Your Amazon_Seller file is validated entirely in your browser — nothing is uploaded to any server. The Amazon Home validation runs client-side using JavaScript.
Yes. Kitchen, bedding, bath, furniture, storage, and home decor all use the same Home & Kitchen flat file template with the same validation rules.
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