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

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

JSON inspection

JSON Viewer

Explore valid JSON as an expandable tree so deeply nested objects and arrays are easier to inspect.

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

Next workflow

Continue the preflight

After the tool runs

JSON 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

quickly inspecting valid JSON values and confirming top-level object or array structure.

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 Viewer for real data work

JSON 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.

  • Strict parse success
  • Expandable object nodes
  • Array positions
  • Primitive values

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.

  • Deep nesting that hides the field you need
  • Unexpected root arrays
  • Null values mistaken for missing fields
  • Invalid JSON that cannot be inspected

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: Use schema tools if the shape must be enforced.

  1. Step 1

    Paste valid JSON

  2. Step 2

    Open the viewer

  3. Step 3

    Expand the object or array path you need

  4. Step 4

    Use schema tools if the shape 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.