Gson Viewer

Gson Viewer helps developers inspect JSON payloads by inferring Java types and generating a skeleton POJO, accelerating data modeling and debugging.

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About This Tool

Gson Viewer provides a focused, Gson-inspired workflow to inspect JSON payloads and derive a Java object model. It parses input JSON, infers primitive and complex types, and presents an object tree with path notation to locate fields quickly. It can apply a naming policy to generate Java field names that align with common Gson configurations, aiding seamless integration with Gson-based serialization/deserialization. The tool outputs a pretty-printed JSON sample, a structured object tree, and a skeleton POJO that reflects nested objects for rapid model sketching. Conceptually, it operates as a syntax and structure analyzer: it does not fetch data, modify the source, or perform runtime mapping, but it does provide a concrete Java scaffolding artifact that developers can adapt. Unique values include real-time type hints, policy-driven naming, and an exportable skeleton that supports nested classes for complex payloads. Use cases include API integration debugging, data modeling for Java services, and quick validation of field naming compatibility between API responses and Java models. Core features emphasize clarity of structure, deterministic generation of types, and lightweight output suitable for rapid iteration and integration planning.

How to Use

  1. Provide inputs: Paste JSON string and optional naming_policy.
  2. Run parsing: Tool analyzes structure and infers Java types.
  3. Review outputs: Examine formatted JSON, object tree, and java_fields_skeleton.
  4. Export: Copy or download the POJO skeleton for integration.
  5. Validate: Check warnings and adjust input or policy as needed.
How to use gson viewer

Frequently Asked Questions

Find Quick Answers

What is the Gson naming policy used for?
The naming policy determines how JSON field names map to Java field names in the generated skeleton. It supports common conventions like identity or snake_case to camelCase mappings, aiding Gson compatibility.
Can it generate multiple classes for nested objects?
It generates a top-level class skeleton and includes nested representations as inner classes or separate blocks. This supports modeling of nested payloads without full code generation.
What are input size limits?
Inputs are processed up to a practical limit (approximately 1 MB). Larger payloads may impact performance or trigger a size-based warning, but parsing remains deterministic for compliant JSON.
Does it validate against a schema?
No. The tool focuses on syntax parsing, structure depiction, and type inference rather than schema validation. Use a dedicated schema tool for formal validation.

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