Convert comma, semicolon and tab delimiters with correct cell quoting.
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Convert two semicolon-separated records to comma-separated CSV. Quoted separators, quotation marks, leading zeros and an embedded line break must survive.
Run the prefilled example with Input delimiter set to Semicolon and Output delimiter set to Comma. This is the expected output for that example.
name,code,note
Mug; blue,001,"Gift, boxed"
"Notebook ""A5""",002,"two
lines"Check for 2 data records and 3 cells per record. “Mug; blue” stays one name and “Gift, boxed” stays one note. Codes 001 and 002 retain their leading zeros. The quotation marks in the notebook name are doubled in CSV, and the final note keeps its line break inside one cell.
Physical lines are not the same as records. When importing into a spreadsheet, set the code column to text; the spreadsheet may otherwise remove leading zeros.
Validate CSV structure and cell counts · Map columns before importing
UTF-8 text only. Up to 200,000 characters and 10,000 rows. Exported data preserves formula-like cells; inspect untrusted values before opening in a spreadsheet. Runs on your device without uploading input. Maximum 200,000 characters per field; numeric calculations use finite JavaScript numbers unless exact integer/decimal arithmetic is stated.
Image and text processing happens in your browser. Your files are not uploaded to our servers.
If a whole record becomes one cell, check the input delimiter. Separators and line breaks inside quotes belong to the cell; do not use find-and-replace. Compare the prefilled example with the expected output, then check record widths with CSV structure validator.
Practical examples, settings and limits to help you finish the task.
Repeat the published CSV and image checks with the downloadable sample files.
Check quoted cells, headers and identifier strings before converting between CSV and JSON.
For a Shopify import, diagnose broken characters separately from lost SKU zeros.
Steps, limitations and sources · KitForma editorial guide
Check quoting, row widths, empty headers and duplicate column names.
↗Map CSV or XLSX columns to your own schema, validate each row and export safe text-preserving workbooks.
↗Convert a header-based CSV table into an array of JSON objects.
↗Export selected columns in the order you specify.
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