Data Cleanup for Content Migrations: A Practical Workflow
Most content migrations break for the same boring reason: the input data is a mess. Titles have weird formatting, slugs step on each other, and old markup from three CMS versions ago blows up the renderer. A few cleanup steps before you import can save hours of debugging after.
Step 1: Normalize spacing
Get spacing sorted first — everything downstream depends on it. Run your text through Remove Extra Spaces and Remove Empty Lines before you do anything else.
Step 2: Replace legacy patterns
Use Find and Replace to strip out old tags, retired product codes, or mangled HTML entities that have been sitting in your database since 2014.
Step 3: Generate clean slugs
Run your titles through the Slug Generator to get URL-safe output, then check for duplicates before you push anything into the CMS.
Step 4: Validate final output
Pull a handful of samples and eyeball them. Then run whatever automated checks you have — look for empty titles, duplicate slugs, and characters that shouldn't be there.
Migration checklist
- Normalize whitespace
- Strip out legacy tokens
- Generate and deduplicate slugs
- Spot-check a sample of records
- Import in small batches, not all at once
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Frequently Asked Questions
Why do migrations fail?
Should I normalize titles before migration?
How should I handle legacy HTML?
Do I need unique slugs?
What is the safest order of cleanup?
Can I automate this?
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The WTools team builds and maintains 400+ free browser-based text and data processing tools. With backgrounds in software engineering, content strategy, and SEO, the team focuses on creating reliable, privacy-first utilities for developers, writers, and data professionals.
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