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 fileForm 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.