Supported File Formats

Supported File Formats

Shabdly supports three main file formats for bulk product translation:

1. CSV Files (.csv)

Best for: Amazon Seller Central exports, simple bulk uploads

Required Columns:

Column Name	Required	Description
SKU	Yes	Product identifier (not translated)
Product Title	Yes	Main product name
Description	Yes	Full product description (HTML supported)
Bullet Points	No	Feature list (one per line or comma-separated)
Search Terms	No	SEO keywords

Format Requirements:

• Encoding: UTF-8 (to support Hindi/Tamil characters)
• Delimiter: Comma (,) or pipe (|)
• Text Qualifier: Double quotes (") for cells with commas/line breaks
• Max File Size: 50 MB
• Max Rows: 10,000 products per file

2. Excel Files (.xlsx)

Best for: Flipkart exports, organized catalogs with multiple sheets

Sheet Structure:

• Use the first sheet in your workbook
• Column names in Row 1 (header row)
• Same column requirements as CSV format

Format Requirements:

• Excel Version: 2007+ (.xlsx format only, not .xls)
• Max File Size: 50 MB
• Max Rows: 10,000 products per sheet
• Formula Cells: Will be converted to text values before translation
• Formatting: Bold/italic formatting will be preserved if using HTML in cells

3. JSON Files (.json)

Best for: API integrations, custom e-commerce platforms

Expected Structure:

{
  "products": [
    {
      "sku": "SHOE-123",
      "title": "Running Shoes for Men",
      "description": "Lightweight <b>breathable</b> running shoes...",
      "bulletPoints": ["Mesh upper", "Rubber sole", "Memory foam"],
      "searchTerms": "sports shoes running jogging"
    }
  ]
}
    

Format Requirements:

• Encoding: UTF-8
• Max File Size: 50 MB
• Array Key: Must have "products" array at root level
• Required Fields: sku, title, description (same as CSV)

HTML Formatting Support

All formats support HTML tags in description fields:

• <b> and <strong> - Bold text
• <i> and <em> - Italic text
• <li> - List items
• <ul> and <ol> - Lists
• <br> - Line breaks
• <p> - Paragraphs

Sample Files

Download example files to understand the format:

• Amazon CSV Template
• Flipkart Excel Template
• JSON Template