Check an import
Start with delimiter, quoting, encoding and header checks. A newline inside a quoted field is part of a record, and identifiers such as 00123 should remain text.
THE DATA & TABLES COLLECTION
Inspect CSV files, preserve your values and transform JSON. Prepare smaller exports for the next application without opening a spreadsheet.
9 tools
Try a broader task such as “text”, “CSV” or “image”. Standalone calculators and date tools are outside this collection.
Suggest a taskSTART WITH YOUR PROBLEM
Start with delimiter, quoting, encoding and header checks. A newline inside a quoted field is part of a record, and identifiers such as 00123 should remain text.
Choose CSV-to-JSON when rows need named fields. Choose JSON-to-CSV when records need a flat table; inspect nested objects, arrays and missing values before exporting.
Merge only matching schemas, or split complete parsed records into numbered batches. Use the column editor before merging files whose fields have different names or order.
Diagnose delimiters, headers, quoting, encodings and leading-zero identifiers before changing a CSV.
Read the guide Data & Tables · Practical guideChoose whole-row or key-column matching and understand which record survives.
Read the guide Data & Tables · Practical guideUnderstand object flattening, arrays, missing fields and numeric precision before exporting JSON as a table.
Read the guide Data & Tables · Practical guideDistinguish syntax validity, pretty-printing, duplicate keys and application-level validation.
Read the guide