Free browser-based data tool

JSON Array Grouper

Group JSON arrays by one or more fields locally in your browser.

Your files never leave your computer.All processing happens locally inside your browser.

  • Group by one field or a field combination
  • Inspect counts and expand each group
  • Copy or download structured grouped JSON
1

Upload JSON

Choose a .json file. It is read only by this browser tab.

Drop a JSON array file here

or use the file browser

2

Paste and validate a JSON object array

UtilityDock detects top-level fields without changing the source array.

Paste JSON or upload a file to begin.

What JSON grouping is

Organize object records by shared field values

JSON grouping collects records whose selected field values match exactly. Choose one field for a simple group-by or combine several fields to explore more specific segments. UtilityDock preserves source order and performs every comparison locally.

Data exploration workflows

Understand how records are distributed

Group a dataset by status, category, owner, region, or a combination of fields to see its natural segments. Expand any group to inspect complete source records without writing a query or uploading sensitive data.

  • Review records by workflow status
  • Inspect customers by region and plan
  • Organize events by type and date
  • Find the largest and smallest segments
  • Separate missing and null field states
  • Create structured grouped fixtures

Analytics preparation

Inspect segments before aggregation or reporting

Group counts reveal how records are distributed before they enter a spreadsheet, notebook, or analytics system. The output keeps each group's values, count, and full records together for predictable downstream processing.

API response analysis

Explore large response arrays without a database

Saved API responses often contain arrays that are difficult to scan. Group objects by endpoint status, resource type, account, or another top-level field to understand the response while keeping every payload on your device.

Missing and null values

Keep absent and explicit values distinct

Records missing a selected field form a missing-value group. Records with that field set to null form a separate null group. Empty strings, zero, andfalse remain ordinary exact values.

Examples

Choose fields that answer the question

QuestionGroup fields
How many records have each status?status
How are accounts distributed?region + plan
Which event types occur each day?date + eventType
Which records lack ownership?owner, then inspect Missing

Data Toolkit

Continue with related UtilityDock JSON workflows

FAQ

Questions about grouping JSON arrays

Does UtilityDock upload or store my JSON?

No. Your files never leave your computer. Validation, field detection, grouping, preview, copying, and download creation all happen locally inside your browser.

What JSON shape can I group?

Version 1 accepts a non-empty array of JSON objects at the document root. You can group by one or more detected top-level fields.

How does grouping by multiple fields work?

Each unique combination of selected field values becomes a group. Records belong together only when every selected field has the same exact JSON value and presence state.

How are missing and null values handled?

Missing and null are distinct. Records missing the same selected field group together, while null groups with null. A missing field does not join a field explicitly set to null.

Does object property order affect a group?

No. When a selected field contains an object, properties are compared by value rather than property order. Array order remains meaningful.

What is included in downloaded grouped JSON?

Each group includes its present group values, any missing field names, its record count, and the complete source records assigned to that group.

Can this tool calculate sums or averages?

No. Version 1 organizes records into groups and reports counts only. It does not support aggregations, pivots, charts, SQL expressions, or APIs.