Structured data becomes easier to handle when you understand the format you are starting with. JSON describes values, objects and arrays. CSV describes rows and columns. A spreadsheet can contain multiple sheets, formulas and presentation details.
Before converting, save a copy of the source. Formatting JSON changes its readability, while minifying removes optional whitespace. Neither operation repairs an incorrect data model. Validation can tell you whether the syntax is valid without proving that the values are accurate.
CSV files may use different delimiters or include commas inside quoted fields. Preview the output and check several rows, especially addresses, descriptions and numbers. Spreadsheet conversion in Allnira uses the first worksheet. Formulas are not recalculated by the converter.
Flatten deeply nested objects before using CSV if you need predictable columns. Converting a nested object into a table can lose its structure, so JSON is usually a better choice for exchanging complex data.
Downloaded CSV and spreadsheet files can contain values that another application interprets as formulas. Treat unfamiliar files carefully and inspect the data before opening them in an application that can execute formulas.
Allnira performs these conversions locally. The final checks still matter: count the rows, compare the column names and spot-check dates, decimal separators and non-English characters.