DATACHECK

Validate JSON file online

Check the syntax and identify structures that may cause a different interpretation between producers and consumers.

A valid syntax is only the first level. Repeated keys, depth and heterogeneity of a table may be problematic when importing.

Checks carried out

  • full reading of the JSON syntax;
  • detection of duplicate keys in the same object;
  • measuring depth and structural volume;
  • profile of properties encountered in arrays of objects;
  • Report of rarely present fields or mixed types.

Why duplicate keys are risky

{
  "status": "draft",
  "status": "published"
}

Depending on the library, the first value can be lost, the last saved or the file refused. Therefore, ambiguity at source must be eliminated.

Static check

DataCheck does not follow any link and does not run any content included in the file.

Check my JSON file

Form validation and business validation

The report describes the structure observed. To impose precise fields, formats and values, complete it with a JSON schema adapted to the data contract.

If the document is refused, follow the method correct invalid JSON file.

Updated on August 1, 2026.