JSON Viewer & Formatter
- Detect Base64-looking fields and decode to text (or warn when binary).
- Use JSONPath to highlight and filter large JSON: $.data.items[*].id
- Quick stats: keys, depth, arrays/objects, and approximate size.
About
See your JSON clearly with formatting, tree navigation and copy/export buttons.
Pretty-print, minify, sort keys, and inspect JSON with a safe tree view. Paste API responses, fix errors, and export clean JSON.
This JSON Viewer is built for the common “paste → understand → fix → copy” loop. It formats JSON with stable indentation, can minify for transport, and keeps structure readable so you can spot the one field that is breaking an API call or a config deploy.
For debugging, predictable output matters more than pretty colors. Sorting keys helps produce deterministic diffs, and a tree-style view makes large payloads navigable without losing context. If your JSON is huge, start by formatting a smaller sample, then scale up once you know the shape you’re dealing with.
JSON issues often look like “the tool is broken” but are actually input problems: trailing commas, unescaped quotes, mixed encodings, or a value that is not valid JSON (like `NaN`). A good workflow is: validate, locate the error position, then reformat and re-test against the system that consumes the JSON.
When you share JSON in tickets or chats, consider removing secrets first. Tokens, cookies, API keys, and customer data do not belong in public logs. This tool is designed to work without sending your pasted content to a server, so you can inspect and clean sensitive payloads locally.
If you’re working with API responses, keep an eye on payload size. Large JSON can be slow to render in any browser. Use minify for storage, and formatted output for review. For repeat work, keep a small “reference sample” so you can compare behavior across environments.
Common use cases: pretty-printing webhook payloads, normalizing config files, sorting keys for code reviews, extracting a sub-object before pasting into a sandbox, and quickly checking whether a response is actually JSON or an error page disguised as JSON.
For production workflows, treat formatting as a verification step, not a transformation step. If you change values while formatting, validate again and run a small test request. The fastest way to lose time is to push a “clean” JSON file that is still semantically wrong.
A good online tool removes friction: clear inputs, fast results, and no surprises. The best workflow is the shortest one—do the job, download the output, and move on.
For consistent results, start with the default settings, then adjust one control at a time. When outputs differ across apps, the usual reasons are format support, metadata handling, and how a tool interprets units or color spaces.
Privacy note: treat uploads as transient. Avoid sensitive files when possible, and prefer tools that don’t require accounts or unnecessary tracking for simple conversions.
If you hit an error, the fastest fix is usually to simplify the input: trim the file, export with standard settings, or try a different format that is known to be widely supported.
FAQ
›What does Format do?
›How do I find parse errors?
›Can I minify JSON?
›Is the viewer safe?
›Can I export?
›Can it detect Base64 strings inside JSON?
›What happens when Base64 decodes to binary?
›Do you support Data URIs in JSON?
›How do I search a large JSON quickly?
›Which JSONPath features are supported?
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