JSON & Data Tools for Structure, Validation, and Transformation
Structured-data work is not one operation. Reformatting JSON, validating it against a schema, following a JSON Pointer, creating a Patch, flattening nested objects, or converting records into CSV can all start from the same input while making very different promises about what is preserved.
All JSON & Data Tools
Browse all 31 tools for JSON, CSV, XML, YAML formatting, SQL formatting, schema work, paths, pointers, patches, merges, tables, environment data, form data, query conversion, filtering, grouping, and line-delimited JSON.
JSON Formatter
Pretty-print valid JSON while preserving source tokens that JavaScript re-serialization can silently change.
SQL Formatter
Reflow SQL clauses, lists, and keyword case while preserving quoted text, comments, and statement boundaries.
JSON Minifier
Remove insignificant JSON whitespace without changing strings, number spellings, duplicate members, or key order.
JSON to CSV Converter
Serialize JSON object records as CSV with escaped headers, nested values, and spreadsheet-formula safeguards.
CSV to JSON Converter
Parse header-based CSV into JSON records with strict quoting, exact columns, and string-preserving values.
XML Formatter
Validate XML syntax, then indent tag boundaries for a more readable source view.
YAML Formatter
Reformat YAML while retaining comments, anchors, aliases, directives, tags, and document boundaries where possible.
JSON Validator
Parse JSON syntax, surface native parsing errors, and show a formatted representation of valid input.
JSON Escape Unescape
Serialize text as a JSON string literal or parse a supplied JSON string value.
JSON Diff Checker
Compare two parsed JSON values and report line-level differences after normalized formatting.
XML to JSON Converter
Parse XML into JSON while surfacing invalid markup before conversion.
JSON Schema Validator
Validate JSON data against a supplied schema and surface failed constraints or required fields.
JSON Path Tester
Test JSON paths against JSON data, inspect matched values, and check nested objects or arrays.
XML Validator
Validate XML syntax, check XML structure, and find parsing errors directly in your browser.
JSON Flatten / Unflatten Tool
Flatten nested JSON into reversible escaped paths or rebuild objects, arrays, and empty containers.
JSON Key Extractor
List JSON member names, nested paths, value types, and array-aware field structure.
JSON Sort Keys Tool
Order JSON object keys deterministically while preserving array sequence and numeric value safety.
JSON to ENV Converter
Flatten JSON configuration into environment assignments with explicit array, null, and quoting choices.
ENV to JSON Converter
Parse dotenv-style assignments into flat or grouped JSON while keeping type inference explicit.
JSON Schema Generator
Infer a draft-aware JSON Schema from sample data while keeping validation assumptions visible.
JSON Schema to TypeScript Converter
Convert JSON Schema into TypeScript interfaces and type aliases with nested objects, enums, arrays, and required fields.
CSV to Markdown Table Converter
Turn CSV, TSV, or delimited rows into Markdown tables with strict quoted-field parsing.
JSON Patch Generator
Derive verified RFC 6902 add, remove, and replace operations with escaped JSON Pointer paths.
JSON Merge Tool
Combine JSON with explicit deep, shallow, array, collision, and null-value rules.
JSON Lines to JSON Converter
Convert and validate JSON Lines or NDJSON, preserve line errors, enforce object-only records, and emit JSON arrays.
JSON to Markdown Table Converter
Map JSON records into GFM tables with collision-safe paths, columns, and missing-value handling.
JSON to Form Data Converter
Convert JSON objects into form-data fields, URL encoded bodies, and cURL parameters.
JSON Pointer Evaluator
Resolve RFC 6901 pointers, URI fragments, escaped tokens, arrays, and root values precisely.
JSON to URL Query Converter
Translate JSON and query parameters with explicit encoding, nesting, repetition, and type-conversion choices.
JSON Array Group By Tool
Group JSON records by escaped nested paths while keeping value types and numeric summaries distinct.
JSON Array Filter Tool
Filter JSON array records by key, value, condition, and dot path.
Four Operations That Are Easy to Confuse
Formatting changes presentation
A formatter should make valid input easier to read without quietly changing strings, numeric spellings, comments where the format supports them, or other information the tool claims to preserve.
Validation checks rules
JSON syntax validation answers whether the text parses. JSON Schema validation asks a second question about types, required properties, ranges, patterns, arrays, and other constraints defined by a schema.
Querying selects existing data
JSON paths, keys, and RFC 6901 JSON Pointers identify values already in a document. They do not themselves define whether those values are valid for an application.
Transformation can change the model
Flattening, merging, grouping, filtering, or converting between formats can alter ordering, types, nesting, duplicate-field behavior, or how missing and null values are represented. Those rules need to be explicit.
Where Information Can Be Lost Even When Conversion Succeeds
CSV is fundamentally tabular, while JSON can contain nested objects, arrays, booleans, nulls, and numbers. Converting JSON to CSV therefore requires decisions about columns, nested values, missing fields, and how values become text. Converting back cannot always reconstruct the original structure or types without additional rules.
Environment variables are strings as well. Mapping JSON to dotenv-style assignments introduces choices about nesting, arrays, nulls, quoting, and key names. Type inference in the reverse direction is a convenience, not a property stored in the .env file itself.
Number handling deserves similar care. JSON permits numeric text that can exceed JavaScript's exact integer range. Tools that parse and reserialize values need to avoid implying byte-for-byte preservation when the runtime number model may change the original spelling or precision.
Standards That Define the Core Semantics
Defines the JSON data-interchange format, including objects, arrays, strings, numbers, literals, and interoperability considerations.
Defines schema vocabularies used to describe and validate JSON instance structure and constraints.
Defines the escaping and token rules used to identify a specific value within a JSON document.
Defines add, remove, replace, move, copy, and test operations applied through JSON Pointer paths.
Why YAML and SQL Appear Here
The standalone YAML Formatter and SQL Formatter are representation-focused tools: their primary job is to reshape source text while preserving its intended data or query meaning. Deployment-specific YAML work such as Kubernetes validation, Compose checks, and YAML/JSON conversion remains in DevOps because the surrounding operational context is part of the task.