Global Araç
Json Visualizer
Tree
Click any object/array node to collapse or expand. Default expansion is 2 levels deep — tweak by clicking. For pure validation with line/column errors, see our JSON Validator.
Paste any JSON document and explore it as an interactive tree. Click any object or array node to collapse or expand it; click leaf values to copy them. The tree handles deep nesting, large arrays, mixed types, and renders quickly even on multi-MB documents. Useful for exploring large API responses, debugging complex JSON configurations, browsing structured data exports, or showing a JSON document’s structure to colleagues who don’t want to scroll through 10,000 lines of raw text.
Common scenarios: API debugging — paste a 500-line API response, immediately see its structure, drill into specific paths; config file review — explore a complex tsconfig.json / package.json / kubernetes-manifest in a more readable format than the file editor; schema discovery — given an unfamiliar JSON document, the tree view reveals what fields exist, what types they have, and how they nest; data export inspection — paste a JSON export from your database, app, or third-party tool and verify it has what you expected.
The renderer is performance-optimized for large documents:
- Default 2-level expansion: deeper levels are collapsed by default, keeping the initial render fast even on huge documents.
- Lazy rendering: collapsed nodes don’t allocate DOM until you expand them.
- Type-coded display: strings, numbers, booleans, null, objects, arrays each get distinct visual treatment so you can scan structure at a glance.
- Search: type any string and the tree highlights matching keys / values across the document.
Nasıl Kullanılır
- Paste your JSON document into the input. Single-line minified or multi-line pretty-printed both work; the tool re-formats internally.
- The tree appears in the right pane. Default expansion: 2 levels deep. Anything deeper is collapsed.
- Click ▼/▶ on objects or arrays to expand or collapse. Click any leaf value to copy it to the clipboard.
- Use the search box to find specific keys or values across the entire document — handy for navigating multi-MB docs.
- If your JSON has a parse error, the tool shows the error location (line + column). Common errors: trailing comma, unquoted key, single-quoted strings (only double quotes are valid JSON).
Ne Zaman Kullanılır
- Exploring an unfamiliar API response or data export structure.
- Debugging a complex JSON config file (tsconfig, package.json, kubernetes manifests).
- Showing a JSON structure to a non-technical colleague who'd be overwhelmed by raw text.
- Quickly verifying that a JSON document has the expected shape before parsing it programmatically.
Ne Zaman Kullanılmaz
- Editing JSON — this is read-only visualization. For editing use a text editor with JSON syntax support (VS Code, Sublime, JSON Editor Online).
- Validating against a schema — for schema-aware validation use ajv (JS), jsonschema (Python), or json-schema-to-typescript. The visualizer shows shape, not validity.
- Multi-GB JSON — browser memory becomes a bottleneck. For huge documents use a streaming JSON tool like jq (CLI) which handles streams without loading the whole document.
- Diffing two JSON documents — for diffs use jsondiffpatch or built-in tools like git diff with json-aware visualization.
Yaygın Kullanım Senaryoları
- Pre-decision sanity-check on inputs and outputs
- Educational use — demonstrating the underlying concept
- Onboarding a colleague who needs the same calculation/conversion
- Verifying a number or output before passing it on
Sık Sorulan Sorular
How big can the JSON be?
Several MB are fine — the tree renders only the visible levels (default 2-level expansion), so deep collapsed trees stay snappy. 10-50 MB documents work but feel slower; 100+ MB starts to hit browser memory limits. For multi-GB JSON use a streaming tool like jq (CLI) that processes data without loading the whole document.
What if my JSON has a parse error?
The tool shows the error location (line + column) and a brief description. Common errors: (1) trailing comma — JSON spec doesn't allow `[1, 2, 3,]`; (2) unquoted keys — JSON requires `"key":` not `key:`; (3) single quotes — JSON only allows double-quoted strings; (4) JavaScript-flavored constructs (undefined, comments, NaN, Infinity) — none are valid JSON. Fix and re-paste.
Can I edit values in the tree?
Not in this tool — it's read-only. For editing JSON in a tree view, use JSON Editor Online (jsoneditoronline.org) which has both tree-edit and text-edit modes. Or just edit in your text editor and re-paste here to verify.
How do I search for a specific value?
Use the search box. Searches across keys AND values. So 'email' might match a key called 'email' AND a value containing 'email@example.com'. For path-specific search, use the JMESPath / JSONPath query syntax with a tool like jq.
What's a 'common' JSON structure?
Most APIs return: top-level object with nested data, plus pagination/metadata. Pattern: `{"data": [...], "meta": {"total": 100, "page": 1}}`. The tree visualizer makes this kind of structure obvious; the alternative (scrolling through raw text) requires mental parsing each time.
Is my JSON uploaded anywhere?
No. The tree-rendering is pure client-side JavaScript. Open DevTools → Network during use and you'll see zero outbound requests. Your JSON (which might contain sensitive data) stays on your device.