What JSON deduplication is
Keep one record from each exact duplicate group
JSON deduplication identifies objects with the same complete value or the same selected field values and removes repeated occurrences. UtilityDock performs exact comparisons while preserving the original order of retained records and keeping the entire workflow on your computer.
Data-cleaning workflows
Remove repeated records before downstream work
Duplicate objects often appear after combining exports, retrying collection jobs, or joining data from overlapping sources. Match complete objects for exact copies or choose business-key fields such as email, identifier, and date.
- Remove exact objects from combined exports
- Keep one record for each customer identifier
- Match composite keys across multiple fields
- Retain the latest occurrence from an ordered feed
- Reduce repeated events before analysis
- Prepare clean fixtures and configuration records
Import preparation
Prevent duplicate records before a system import
Deduplicate locally before loading contacts, products, events, or configuration entries into another system. The summary reports the original count, removed duplicates, and final count so the change is easy to verify.
Analytics use cases
Avoid repeated observations that distort results
Duplicate events and rows can inflate counts, totals, and conversion metrics. Selecting the fields that define a unique observation creates a focused dataset without requiring SQL, scripts, or an uploaded service.
Missing and null values
Compare field presence and JSON values exactly
When selected-field matching is used, missing fields match other missing fields and null matchesnull. Missing and null remain distinct, while nested objects are compared by value rather than property order.
Examples
Choose the comparison that represents uniqueness
| Goal | Deduplication method |
|---|---|
| Remove exact copied records | Entire object |
| Keep one record per account | accountId |
| Keep one daily event per user | userId + date |
| Retain the newest ordered record | Selected fields + Keep Last |
Data Toolkit
Continue with related UtilityDock JSON workflows
FAQ
Questions about removing duplicate JSON objects
Does UtilityDock upload or store my JSON?
No. Your files never leave your computer. Validation, field detection, deduplication, preview, copying, and download creation all happen locally inside your browser.
What JSON shape can I deduplicate?
Version 1 accepts a non-empty array of JSON objects at the document root. You can compare every object value or one or more detected top-level fields.
Does complete-object matching ignore property order?
Yes. Objects with the same properties and values are duplicates even when their property order differs. Array order inside an object remains meaningful.
How are missing and null field values handled?
Missing and null are distinct. Records missing the same selected field match one another, while null matches null. A missing field does not match a field explicitly set to null.
What happens when I select multiple fields?
Two records are duplicates only when every selected field has the same exact JSON value and presence state.
What is the difference between keeping first and last?
Keep First retains the earliest record in each duplicate group. Keep Last retains the latest. Retained records preserve their original relative order.
Does this tool perform fuzzy matching?
No. Version 1 uses exact JSON values and does not support fuzzy matching, regular expressions, custom comparison scripts, or APIs.