DataDoctor

Runs entirely in your browser — no uploads, no saved snippets, no public links.

Paste a file, inspect the issues, export reviewed output.

JSON tree exploration

JSON Tree Viewer

Paste JSON and explore the full nested structure as a tree expanded by default, so deep objects and arrays are visible at a glance.

Paste JSON or load the broken sample to confirm error handling.

Next workflow

Continue the preflight

JSON Validator

Validate or repair JSON before inspecting it.

JSON Formatter

Pretty-print JSON before tree review.

JSON Schema Generator

Infer a schema from a representative payload.

After the tool runs

JSON Tree Viewer review guide

Use the tool above first. The supporting notes below help you interpret the result, fix the right issues in the right order, and choose the next DataDoctor tool without pushing SEO content above the actual task.

Best input

exploring deeply nested JSON trees where parent-child structure matters more than formatting.

Output to keep

Copy strict JSON only after validation or repair passes.

Next check

Use schema validation when the payload must match an API contract, import field list or queue message shape.

What it checks

JSON Tree Viewer for real data work

JSON Tree Viewer is strongest when you use it before a formatter, converter or downstream API call. It helps make the parse state visible before you change the payload.

  • Nested object hierarchy
  • Array item branches
  • Collapsed and expanded paths
  • Leaf values in context

Fix these first

Common errors to review before downstream work

Most failures come from small file issues that become expensive only after an API call, import job or spreadsheet cleanup. Fix blocking errors first, then re-run the same tool before moving forward.

  • Confusing sibling objects
  • Arrays that contain mixed item shapes
  • Deep fields hidden in long payloads
  • Invalid JSON before tree rendering

Recommended workflow

Run the check in this order

If the tool reports a parse or structure problem, fix that first and re-run the same check. If it passes, move to the next workflow step: Validate against a schema when structure must be enforced.

  1. Step 1

    Paste the JSON document

  2. Step 2

    View the root as a tree

  3. Step 3

    Expand only the branches under review

  4. Step 4

    Validate against a schema when structure must be enforced

How to interpret a passing result

A pass means this specific preflight did not find the issues listed above. It is not a guarantee that the target system will accept every row, field, custom mapping or account-specific rule.

Formatting, minifying or repairing JSON proves syntax only. It does not prove the payload has the right required fields or business values.