Make an unreadable response inspectable
Use JSON formatting for indentation and syntax errors. If the response is one JSON object per line, choose the JSONL viewer instead of treating the whole log as a single document.
JSON Formatter →Choose a tool to format structured data, validate an API contract, compare JSON, convert CSV, or prepare schemas, types and SQL fixtures.
Browse these tools ↓Start with the question your data needs to answer. A formatter makes syntax readable; a schema validator checks a contract; a structural comparison finds changes in values and types. Keeping those steps separate makes a failed API response or configuration file easier to diagnose.
Use JSON formatting for indentation and syntax errors. If the response is one JSON object per line, choose the JSONL viewer instead of treating the whole log as a single document.
JSON Formatter →Compare JSON by field path when key order and whitespace would overwhelm a text diff. Check the reported old value, new value and type before accepting a change.
JSON Diff →Paste the expected schema with the data to inspect required fields and types. Generate a draft schema only when you still need to write the contract; a sample alone cannot prove all valid shapes.
JSON Schema →Keep an original sample, validate its syntax, then inspect the fields you actually need. Before exporting a conversion, check large numbers, nulls, dates and nested arrays. Inferred schemas and generated types describe the samples you supplied; review optional fields and missing cases against the real contract.
Format, minify, and validate JSON with useful line and column errors. Your data stays entirely in this browser.
Runs locally DataValidate JSON against common Draft 2020-12 schema keywords and see every issue by data path. Runs locally in your browser.
Runs locally DataCompare two JSON documents by path and find added, removed, changed, and type-mismatched values without uploading data.
Runs locally DataEvaluate practical JSONPath expressions, inspect matched paths and values, and copy results without sending JSON to a server.
Runs locally DataGenerate Go structs, TypeScript interfaces, Java records, or Python dataclasses from sample JSON entirely in your browser.
Runs locally DataConvert CSV, TSV, or semicolon-delimited tables to JSON and JSON arrays back to CSV with delimiter, header, and pretty-print controls.
Runs locally DataInspect newline-delimited JSON logs, filter records by text or field, find malformed lines, and export valid records without losing numeric precision.
Runs locally DataCatch common YAML indentation and structure errors, then normalize readable configuration locally in your browser.
Runs locally DataConvert common YAML documents to JSON and JSON back to readable YAML without uploading configuration data.
Runs locally DataFormat or minify SQL for MySQL, PostgreSQL, SQLite, and SQL Server with configurable keyword case. Runs locally.
Runs locally DeveloperBuild a reusable browser-local workflow such as Base64 decode → JSON format → JSONPath extract, then run it in one click.
Runs locally DataGenerate repeatable JSON or CSV fixtures from a sample, with field rules, sequences, date ranges, enums and null rates.
Runs locally DataInfer JSON Schema from one or several samples, review required-field assumptions, and export a Markdown field reference.
Runs locally DataGenerate PostgreSQL or MySQL INSERT scripts locally, with explicit table names, column mapping and exact numeric values.
Runs locally DataMove or copy JSON fields to new nested paths, preview the result and reuse the mapping in a local pipeline.
Runs locally