Validate in streaming mode
Run well-formedness or JSON Schema checks while processing the input as a stream. The established implementation is designed for a steady memory footprint during a typical validation check.
Explore batch validationValidate and process large JSON
Validate large JSON data
Use a deliberate workflow for very large JSON documents: validate the data, inspect actionable diagnostics, navigate the structure, and choose an editor or command-line path for the next task.
- Large documentsStreaming-oriented validation
- DiagnosticsInspect exact findings
- Flexible workflowEditor or command line
Validate, analyze, and continue
Use one deliberate workflow for large JSON data
Ordinary editors and in-memory validators can become impractical when input grows from a few megabytes to hundreds of megabytes or more. The large-data workflow keeps validation, analysis, navigation, and the next action visible without pretending that every file belongs in the same editor mode.
Analyze the data structure
Generate a JSON Schema from large input to inspect the properties, types, and structures actually present in the data.
Explore schema analysisLocate and correct findings
Use line information and JSON Pointer paths from the validation report to return to the relevant value in the large-file viewer or editor.
Explore the large JSON editorA typical workflow
Move from a large input to a checked result
- Check whether minified input should first be pretty-printed to a separate readable copy.
- Run a streaming well-formedness or JSON Schema validation check.
- Keep the full diagnostic report for review or downstream transformation.
- Open the large document and resolve an error location by JSON Pointer or line number.
- Edit the relevant content, repeat the check, and move recurring work into CLI or batch processing.
Performance evidence needs context
The original page includes 100 MB and multi-GB examples, but file size, storage, schema complexity, keywords, hardware, and product version all affect the result. Publication claims must use a reproducible measurement record.
What is included?
Use desktop and command-line tools for different stages
The established Large Data package combines an interactive Windows environment for viewing, schema design, testing, and targeted editing with a command-line tool for server, batch, and automated validation tasks.
- Well-formedness checking, pretty-printing, and whitespace removal for large input.
- Streaming JSON Schema validation with detailed error locations.
- Large-data analysis and JSON Schema generation.
- CSV import plus JSON, XML, and CSV conversion paths.