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JSON Deserialize Online – Inspect Objects

Deserialize JSON into an object and inspect its fields, types and structure. Handles nested, escaped and stringified JSON.

  • Free, no sign-up
  • Runs in your browser, nothing uploaded
Input
Object outline

About the JSON Deserialize

Deserialize JSON (including stringified JSON) and inspect the resulting object: every field with its type and value, in a readable outline.

Key features

  • Outline of every field with its type and value
  • Shows object key counts and array lengths
  • Unwraps stringified and escaped JSON automatically
  • Indented view mirrors the data's structure
  • Great for checking types before writing models
  • Private, in-browser processing

Inspect JSON the way your code will see it

Before you write a model class, a TypeScript interface or a database schema, you need to know exactly what the data looks like: which fields exist, what types they are, which are null, and how deep the nesting goes. JSON Deserialize parses your JSON (even if it's escaped or stringified) and prints an outline of every field with its type and value.

Example

{"id":42,"name":"Ada","tags":["math"],"manager":null,"address":{"city":"London"}}
root: Object {5 keys}
  id: number = 42
  name: string = "Ada"
  tags: Array(1)
    [0]: string = "math"
  manager: null = null
  address: Object {1 keys}
    city: string = "London"

Type mapping reference

JSON typeC#JavaTypeScriptPython
stringstringStringstringstr
number (whole)int / longint / longnumberint
number (decimal)double / decimaldoublenumberfloat
booleanboolbooleanbooleanbool
nullT?wrapper typeT | nullNone
arrayList<T>List<T>T[]list
objectclassPOJOinterfacedict / dataclass

Debugging deserialization errors

  • "Cannot convert String to Int32": a number arrived quoted ("42"). Check the outline for string = "42".
  • "Cannot deserialize array into object": the field is an array in the data but an object in your model, or vice versa.
  • Null reference / missing field: the outline shows null or the key is simply absent.
  • Date problems: JSON has no date type; dates arrive as strings (ISO 8601) or numbers (Unix timestamps).

Generate code with JSON to Java or JSON to Protobuf. Explore interactively with the JSON Viewer. Turn objects back into strings with JSON Serialize.

How to use the JSON Deserialize

  1. Paste your data into the input box, upload a file, or click Sample to try it out.
  2. Adjust the options above the editor if you need to (indentation, delimiter, and so on).
  3. The result appears instantly in the output panel. Any errors are shown with their line and column.
  4. Click Copy to copy the result, or Download to save it as a file.

Frequently asked questions

What does deserialize mean?

Deserializing converts serialized data (here, JSON text) back into objects in memory. In C# that's JsonSerializer.Deserialize, in Java Jackson's readValue, in Python json.loads.

Why would I need to see types?

Type mismatches are a top cause of deserialization errors: a number sent as "42", an array where an object was expected, or null in a non-nullable field. The outline makes them obvious.

Can it generate classes for me?

Yes, for Java. Use the JSON to Java tool to generate POJOs, or JSON to Protobuf for a .proto schema.

How are numbers typed?

JSON has a single number type. The outline shows number; when generating classes, whole numbers map to int/long and decimals to double.

Is my JSON uploaded to a server?

No. All JSON tools run entirely in your browser, so your data never leaves your device.

Is there a size limit?

There is no fixed limit. Files of several megabytes work fine; very large files depend on your device's memory.

Do I need an account?

No. Every JSON tool is free and works without signing up.

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