Translation Management

Bulk Processing - Managing Large Catalogs

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Bulk Processing for Large Catalogs

Translating thousands of products efficiently requires the right strategy. Here's how to handle catalogs with 1,000+ SKUs.

System Limits

Plan Max Products/Upload Max File Size Processing Time
Free1005 MB~5 min
Starter50010 MB~10 min
Growth2,00050 MB~30 min
Scale10,00050 MB~2 hours

Strategy 1: Prioritized Batches

Best for: 5,000+ product catalogs

Step 1: Sort by Priority

Divide your catalog into tiers:

  • Tier 1 (Top 20%): Best sellers, high margin products → Translate first
  • Tier 2 (Next 30%): Moderate sellers → Translate second
  • Tier 3 (Bottom 50%): Slow movers → Translate last or skip

Step 2: Upload in Batches

  1. Upload Tier 1 products (up to 2,000 per batch)
  2. Wait for completion (30-60 minutes)
  3. Review results and upload Tier 2
  4. Continue until complete

Strategy 2: Language Staging

Best for: Testing multiple languages before full rollout

Phase 1: Single Language Test

  1. Translate top 100 products to Hindi only
  2. Upload to marketplace and monitor for 2 weeks
  3. Check conversion rates and customer feedback

Phase 2: Expand to 3 Languages

  1. If Hindi test succeeds, add Tamil and Telugu
  2. Translate same 100 products
  3. Monitor regional performance

Phase 3: Full Catalog Rollout

  1. Translate entire catalog to all 12 languages
  2. Upload in batches of 2,000 products
  3. Track revenue impact by language

Strategy 3: Category-Based Processing

Best for: Sellers with diverse product categories

Organize by Category:

  1. Category 1 (e.g., Electronics): Formal tone, all languages
  2. Category 2 (e.g., Fashion): Youth tone, Hindi + Tamil only
  3. Category 3 (e.g., Home & Kitchen): Bargain tone, Hindi + Bengali

This allows you to customize tone and languages per category!

Optimizing File Preparation

Before Upload Checklist:

  • ✅ Remove duplicate SKUs
  • ✅ Delete out-of-stock products
  • ✅ Clean up formatting (remove extra spaces, line breaks)
  • ✅ Ensure all required columns are present
  • ✅ Add brand terms to glossary FIRST
  • ✅ Split large files (>2,000 rows) into multiple files

File Naming Convention:

catalog_batch1_electronics_20260128.csv
catalog_batch2_fashion_20260128.csv
catalog_batch3_home_20260128.csv
    

Parallel Processing (Scale Plan)

Scale plan users can run up to 5 concurrent jobs:

  1. Upload 5 separate files simultaneously
  2. Each file processes independently
  3. All complete in ~30 minutes instead of 2.5 hours

Example: 10,000 Product Catalog

  • Split into 5 files of 2,000 products each
  • Upload all 5 at once (Scale plan)
  • Total time: ~30 minutes
  • vs. Sequential upload: ~2.5 hours

Progress Monitoring

Dashboard Indicators:

  • Queue Position: Your place in line
  • Processing Status: % complete (updates every 30 seconds)
  • Words Translated: Real-time credit usage
  • Errors: Failed products (downloadable error log)

Handling Errors in Bulk Jobs

Common Issues:

  1. Malformed HTML: Unclosed tags break translation
  2. Character limit exceeded: Amazon has 2,000 char limit for descriptions
  3. Missing required fields: SKU or title empty

Error Recovery:

  1. Download error log from job details page
  2. Fix errors in original file
  3. Create new file with only error rows
  4. Re-upload and translate
  5. Merge with successfully translated file

Cost Optimization Tips

💰 Save Credits:

  • Remove duplicates: De-duplicate listings before upload
  • Trim descriptions: Remove unnecessary fluff from descriptions
  • Use cache: If you re-translate same products, system uses cached translations (free!)
  • Selective fields: Only translate title + description, skip bullet points if word count is tight

API Automation (Scale Plan)

For 10,000+ SKU catalogs, use API automation:

# Python example
import requests

files = ["batch1.csv", "batch2.csv", "batch3.csv"]

for file in files:
    response = requests.post(
        "https://api.shabdly.online/v1/translate",
        headers={"X-API-Key": "your_api_key"},
        files={"file": open(file, "rb")},
        data={"target_languages": ["hi", "ta", "te"]}
    )
    print(f"Job {file}: {response.json()['job_id']}")
    

Need Help with Large Catalogs?

Email us at heyshabdly@gmail.com with:

  • Total SKU count
  • Target languages
  • Monthly translation volume

We'll create a custom processing plan and recommend the best approach!

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