Remove Duplicates from Design Project and Asset Data
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Design teams accumulate duplicate data in component libraries, project management records, and client databases when assets are forked without renaming, projects are tracked in multiple tools, and design systems are maintained across separate files. A button component might exist as 'btn-primary', 'Button_Primary', 'primary-button', and 'cta-button' across different design files, each slightly different but functionally identical. dataclean.to matches design records by normalizing naming conventions, comparing component properties, and clustering project entries that reference the same client work.
The Problem
Duplicate design assets undermine the consistency that design systems are meant to enforce. When a component library contains three versions of what should be one button style, designers pick whichever they find first, leading to subtle visual inconsistencies across the product. Client project records duplicated across project management and invoicing tools create confusion about deliverable status and billing history. Design token files with overlapping definitions produce conflicting CSS variables, causing unpredictable styling behavior when developers implement the design. Time tracking becomes inaccurate when the same project exists under multiple names, splitting billable hours across entries. W3C Design Tokens specification
How to Fix It
1
Export design project and asset data
Pull records from your design tool, project management platform, and component library. Include asset name, type, project association, client, creation date, creator, and any property values like color codes or dimensions.
2
Upload to dataclean.to
Upload the CSV. The tool normalizes naming conventions between camelCase, kebab-case, and snake_case, then compares asset properties and project attributes to find duplicate entries.
3
Review duplicate clusters
Examine groups of records flagged as the same asset or project. The tool shows naming variations, property differences, and creation date discrepancies that help you identify which entry is the canonical version.
4
Consolidate into master records
Merge confirmed duplicates into single entries. For design components, keep the version with the most complete property definitions. For projects, combine all timeline entries and client communications under one record.
5
Export the clean dataset
Download the deduplicated CSV and update your design system, component library, and project management tools. Each asset and project now has one authoritative entry with consistent naming.
Frequently Asked Questions
How does the tool handle components that are intentional variants versus duplicates?
The tool compares component properties like color, size, and padding. Components with the same base name but deliberately different property values are flagged for review rather than automatically merged, so you can confirm whether they are variants or accidental duplicates.
Can it reconcile design tokens across multiple platforms?
Yes. Tokens with different naming conventions but identical values, such as '--color-primary: #1a73e8' in CSS and 'colorPrimary: #1a73e8' in a JSON file, are matched and flagged so you can maintain one source of truth.
What about archived design files that overlap with current projects?
The tool flags records with similar names and client associations regardless of status. You can review which entries are current and which are archived versions, then decide whether to keep archived records linked or remove them from the active dataset.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.