JSON Linter

Convert CSV data into JSON format.

Convert JSON arrays into CSV rows.

Validate CSV syntax and structure — checks column consistency, unclosed quotes, and empty headers.

Validate JSON syntax and surface parse errors.

Pretty-print JSON with consistent indentation.

Minify JSON by removing unnecessary whitespace.

Compare two JSON documents and highlight differences.

Sort object keys alphabetically for stable JSON output.

Escape JSON into a quoted string literal for embedding.

Unescape a quoted JSON string back into readable JSON or plain text.

Flatten nested JSON objects into single-level key paths.

Rebuild nested JSON from flattened path-based keys.

Generate a draft JSON Schema from sample JSON input.

Validate JSON data against a provided JSON Schema.

Evaluate JSONPath expressions against JSON input.

Run jq-like query expressions to extract or transform JSON data.

Convert a JSON object or array into well-formed XML with a root element.

Parse XML and convert it to a JSON object, preserving attributes and nested elements.

Convert JSON objects and arrays into clean, human-readable YAML.

Parse YAML and convert it to formatted JSON.

Validate YAML syntax and report the parsed type and top-level keys on success.

Check XML well-formedness and report the root element and any parse errors with line numbers.

Merge multiple JSON documents into one output object.

Split large JSON arrays into smaller chunks.

Rename one or more keys across JSON objects.

Find and replace values in JSON content.

Filter JSON records using key/value conditions.

Evaluate RFC 6901 JSON Pointer expressions against JSON input.

Compare two XML documents and highlight structural differences.

Evaluate XPath expressions against XML input.

Run a clearly labeled practical XQuery subset for XML exploration: direct XPath, simple for/let expressions, count(), and string().

Validate XML against a provided XSD schema.

Compare two YAML documents and report differences.

Lint YAML style and structure with stricter quality rules.

Evaluate path expressions against YAML input.

Run query expressions to extract or transform YAML data.

Generate RFC 6902-style patch operations from left/right JSON values.

Compute row/column stats and numeric summaries for CSV data.

Validate YAML content against a JSON Schema.

Apply RFC 6902-style patch operations to JSON data.

Analyze JSON size and structural complexity metrics.

Escape XML special characters for safe embedding.

Decode escaped XML entities back to plain characters.

Convert JSON row objects into SQL INSERT statements.

Convert JSON row objects into an XLSX base64 output envelope.

Flatten nested XML into a path-based key representation.

Auto-detect whether input is JSON, XML, YAML, CSV, or plain text.

Detect, pretty-format, and analyze API responses into a JSON report with HTTP metadata and formatted payload previews.

Compare JSON, XML, YAML, CSV, text, or SQL payloads from one unified entry point.

Run JSONPath, XPath, XQuery-subset, YAMLPath, and JSONata queries through one tool.

Auto-detect sources and convert across supported JSON, XML, YAML, CSV, and Excel pairs, including structured JSON input and Excel base64 envelopes.

Generate deterministic mock records for JSON/CSV/XML/YAML testing.

Normalize CSV by parsing and re-emitting with consistent quoting and proper cell escaping.

Pretty-print JSON with consistent indentation.

Minify JSON by removing unnecessary whitespace.

Sort object keys alphabetically for stable JSON output.

Normalize YAML by parsing and re-emitting with consistent 2-space indentation and block style.

Pretty-print XML with consistent 2-space indentation for improved readability.

Minify XML by removing whitespace and indentation.

Sort YAML mapping keys alphabetically, recursively.

Sort CSV rows by one or more columns.

Compress YAML into a compact representation.

Sort XML element structures for deterministic ordering.

Detect, pretty-format, and analyze API responses into a JSON report with HTTP metadata and formatted payload previews.