Free browser-based data tool

JSON Structural Consistency Analyzer

Detect structural inconsistencies across JSON arrays instantly. Everything stays in your browser.

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

Measure consistency across arrays of objects
Find missing fields, extra fields, and type mismatches
Copy or download a deterministic JSON report

Upload JSON

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

Drop a JSON file here

or use the file browser

Paste and validate JSON

Valid object arrays are analyzed at normalized paths.

JSON document

Paste JSON or upload a file to begin.

What structural consistency means

A record-by-record view of JSON array shape

Structural consistency describes how closely objects in an array share the same fields and value types. This analyzer measures each record against the dominant observed structure at its normalized array path.

API response QA

Check saved responses before integration work

Compare repeated API records for missing properties, unexpected fields, and changing types. The object-level report makes a variation traceable to the exact record and normalized path.

ETL validation

Inspect records before an import or transformation

A field that changes from a number to a string can break a downstream load even when the JSON itself is valid. Review measured field presence and type consistency before moving data.

Data quality

Separate syntax validity from structural uniformity

Valid JSON can still contain irregular records. The consistency score summarizes observed shape and type agreement without inferring intent, changing data, or claiming schema compliance.

Examples

Understand each reported difference

Finding	Example
Missing field	`active` appears in the dominant structure but not object 3.
Extra field	`segment` appears only outside the dominant structure.
Type mismatch	`id` is usually a number but is a string in one object.

Inspection utilities

Continue with related UtilityDock inspection workflows

JSON Duplicate Path AnalyzerCount repeated normalized paths and structures.JSON Structure AnalyzerMeasure depth, containers, leaves, and paths.JSON Size AnalyzerMeasure payload size and storage characteristics.JSON Type ProfilerMeasure value types and normalized path distributions.JSON Null & Missing InspectorMeasure field completeness across object arrays.JSON Array Frequency AnalyzerInspect value counts and distributions.JSON Pointer ExplorerNavigate a document and copy RFC 6901 paths.JSON Diff & CompareInspect differences between two documents.JSON Schema ValidatorValidate JSON against a draft-07 schema.

FAQ

Questions about JSON structural consistency

Does UtilityDock upload or store my JSON?

No. Your files never leave your computer. All processing happens locally inside your browser.

How is the consistency score calculated?

Each record is compared with its array's most common observed field structure and the most common observed type for each field. The score is the percentage of records with no measured variation.

What is a missing or extra field?

A missing field belongs to the dominant observed structure but is absent from a record. An extra field appears in a record but not in that dominant structure.

How are nested arrays handled?

Object arrays found at the same normalized path are analyzed together. Numeric indexes are represented as [*] so repeated nested arrays can be measured consistently.

Does this tool repair data or generate a schema?

No. Version 1 is read-only. It reports observed differences without changing JSON, repairing records, generating schemas, or calling APIs.