Amazon Clothing Flat File Validator

🥦

Validate Complete

Validation Report Format
valid rows

Check your Amazon Clothing & Accessories flat file for missing size, color, department, and other category-specific fields.

Starting from $5 — see pricing & bundles
Free preview before you pay
Files never leave your browser
No account needed to start

Download Clothing Template

Valid Amazon clothing flat file template with size and color

Clothing Template

Download Error Sample

Sample with validation errors for testing

Error Example

How It Works

1

Download Clothing Template

Seller Central → Inventory → Add Products via Upload → Clothing category

2

Upload CSV

Upload your Clothing Flat File export file

3

Review Validation Results

Check your Amazon Seller data for errors and warnings

Output is in Validation Report format — ready to import directly, no manual reformatting needed.

Quick Answers

What clothing-specific fields are required?

In addition to standard fields (item_sku, item_name, brand_name, price), clothing requires: department_name, size_name, and color_name.

Is this tool free?

First rows are free to preview. Full validation uses credits based on row count.

What happens to my data?

Your file is processed entirely in your browser. No data is uploaded to our servers.

Why Validate Clothing Flat Files?

Category-Specific Requirements

Amazon's Clothing & Accessories category has additional required fields beyond the generic flat file. Missing department, size, or color information causes immediate upload rejection. This validator checks all clothing-specific fields in addition to the standard product fields, catching errors before they reach Amazon's processing queue.

What This Tool Checks

In addition to standard flat file validation, we check: - department_name (mens, womens, boys, girls, etc.) - size_name and size_map (required for size filtering) - color_name and color_map (required for color filtering) - material_type, closure_type, sleeve_type, neck_style

Your Data is Safe

Bank-Level Security

256-bit SSL encryption. Same standards as major financial institutions.

No Data Storage

Files are processed directly in browser. No calls to our servers.

GDPR Compliant

Full EU data protection compliance. Your privacy rights protected.

ISO/IEC 27001 Certified GDPR Compliant Swiss Privacy CCPA Compliant

Why Use This Tool?

Size & Color Validation

Validates size_name, color_name, and their Browse filter mappings are present and correct.

Department Check

Validates department_name against Amazon's allowed values (mens, womens, boys, girls, etc.).

Row-Level Errors

Get specific error messages with row numbers for quick debugging before upload.

Material & Style Fields

Checks material_type, closure_type, sleeve_type, and neck_style formatting.

Browser-Based

Files processed locally. Your product data never leaves your computer.

Instant Results

Get validation results in seconds, even for large clothing 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

Missing Department

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

Missing Size

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

Missing Color

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

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Files process entirely in your browser. We're GDPR compliant with TLS encryption.

Can I get a refund?

Yes! Full refund within 14 days if no credits used. Partial refund for unused credits anytime. Contact sup@spreadsheetbroccoli.com.

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Frequently Asked Questions

Your data never leaves your device. All files are processed entirely in your browser using client-side JavaScript - no data is stored on our servers or sent anywhere. There's no account to hack, no database storing your files, and no API connections to your bank or accounting software. You upload, convert, download, and we forget it immediately.
No payment or signup required. You can upload your file, see a free preview of the conversion results, and verify everything looks correct before paying anything. If it doesn't work for your files, you haven't wasted any money. We only charge when you're satisfied and ready to download the final converted file.
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.
In addition to standard fields (item_sku, item_name, brand_name, price), clothing requires: department_name, size_name, and color_name.
Valid department values: mens, womens, boys, girls, baby-boys, baby-girls, unisex-adult, unisex-baby.
size_name is required (your actual size label like "Medium" or "10"). size_map is optional but recommended as it maps to Amazon's standardized Browse filters.
First rows are free to preview. Full validation uses credits based on row count.
This validator checks all standard fields plus clothing-specific fields like department, size, color, material, and style attributes that the generic validator does not check.
Your file is processed entirely in your browser. No data is uploaded to our servers.
Each size/color combination should be a separate row with a unique item_sku. Use the same parent ASIN or variation theme to group them as a family.