JSON & Data Interchange

Format, validate, and explore JSON with a collapsible tree view.

Compress and minify JSON data by stripping all whitespace and line breaks to minimize payload size.

Instantly validate JSON syntax, identify errors with exact line and column locations, and fix formatting bugs.

Convert JSON arrays and nested objects into clean, downloadable CSV spreadsheets in seconds.

Convert JSON documents into clean, structured, and customizable XML markup instantly.

Generate strongly typed TypeScript interfaces and type aliases from sample JSON documents instantly.

Test JSONPath expressions ($.store.book[*].author) against complex JSON payloads with instant match filtering.

Validate JSON documents against JSON Schema definitions using Ajv. Path-accurate structural error reports.

Generate sample JSON documents from a JSON Schema using defaults, enums, formats, and property heuristics.

Convert CSV tabular data into structured JSON objects or arrays with automatic type detection.

Turn raw CSV or TSV data into a plain-text table with aligned columns, like the Unix `column -t` command.

Convert XML documents into readable, valid JSON objects with automatic type parsing and attribute preservation.

Format, beautify, and validate messy XML files with custom indentation and instant syntax error detection.

Convert YAML configuration files into structured JSON documents (or JSON to YAML) instantly.

Convert configuration files seamlessly between YAML and TOML formats with full data type preservation.

Convert TOML configuration files (Cargo.toml, pyproject.toml, Wrangler) into structured JSON documents.

Convert TypeScript interfaces and type definitions directly to valid Draft-07 JSON Schema specifications.

Format, beautify, validate AST, and minify GraphQL queries, mutations, subscriptions, and SDL schemas.

Generate readable TypeScript interfaces, enums, unions, and scalar types from GraphQL SDL.

Turn a GraphQL operation (plus optional variables) into a ready-to-run curl command — entirely in-browser.

Validate OpenAPI 3 and Swagger 2 documents, then format them as readable JSON or YAML.

Convert CSV, TSV, or JSON data into perfectly aligned GitHub-Flavored Markdown tables.

Convert JSON into clean, correctly quoted YAML for Kubernetes manifests, Docker Compose files, and CI configs.

Compare two JSON documents structurally and see every added, removed, and changed value by path, ignoring key order.

Fix broken JSON automatically: trailing commas, single quotes, unquoted keys, comments, Python literals, code fences, and truncated LLM output.

Sort JSON object keys alphabetically or naturally, at every level or just the top, and sort arrays of objects by a field.

Escape text into a JSON string, unescape it back, stringify a document for embedding, or decode double-encoded JSON.

Convert JSON Lines (NDJSON) to a JSON array and back, with the exact line number of any bad record.

Validate YAML syntax with exact line and column errors, multi-document support, and warnings for values YAML 1.1 parsers read differently.

Check that XML is well-formed and get the error code, line, and column, plus document stats when it passes.

Generate Zod schemas and inferred TypeScript types from a JSON sample, with optional, nullable, and union fields detected across array items.

Generate Go structs with json tags from a JSON sample: int64 and float64 detection, pointers and omitempty for optional fields, and Go-style initialisms.

Generate Pydantic v2 models, dataclasses, or TypedDicts from JSON, with snake_case fields, aliases for the original keys, and Optional where data can be missing.

Generate Java records or POJOs from JSON with Jackson or Gson annotations, boxed types for nullable fields, and valid names for keys like class.

Generate C# classes or records from JSON with System.Text.Json or Newtonsoft attributes, nullable types like long?, and required members.

Generate Rust structs with serde derives from JSON: Option<T> for optional fields, rename_all for camelCase APIs, and raw identifiers for keywords like type.

Generate Kotlin data classes from JSON for kotlinx.serialization, Moshi, or Gson, with nullable defaults for optional fields and backticks for keywords.

Generate a JSON Schema from a JSON sample, with required fields, nullable types, and formats like email and date-time inferred from the data.

Convert a JSON Schema into TypeScript interfaces and types, including $defs references, recursive schemas, enums, and nullable unions.

Complete reference for Draft-07 and 2020-12 JSON Schema validation keywords

Filter and extract JSON with path expressions and jq idioms