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Convert JSON arrays and objects to CSV files online. Flatten API responses and config exports into spreadsheet-friendly rows with headers preserved.
Convert tab-separated values to comma-separated CSV format. Fix delimiter mismatches from database exports and prepare data for Excel or Google Sheets.
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CSV (RFC 4180) uses commas as field delimiters, double quotes for fields containing commas/newlines/quotes, and CRLF line endings. Parsing must handle quoted fields, escaped quotes (""), and variable column counts.
Parse: split by comma respecting quotes → array of arrays; Format: align columns and add | delimitersFirst row becomes the header. A separator row of hyphens is inserted. Remaining rows become body cells. Column widths are calculated from the longest value in each column for source alignment.
Updated: July 2026
Transform a CSV export from Google Sheets into a markdown table for documentation.
→ Well-formatted markdown table with aligned columns and header separator
Convert a CSV of API routes into a markdown table for a README.
→ | Method | Path | Description | Auth |\n| --- | --- | --- | --- |\n| GET | /users | List users | Yes |
A naive comma-split breaks fields like "New York, NY". Use a proper CSV parser that respects RFC 4180 quoting rules. Test with fields containing commas, quotes, and newlines.
If CSV data contains | characters, they will break the markdown table structure. Escape with \| or replace with a Unicode vertical bar (｜) before conversion.
Convert CSV data to Markdown table format instantly. Paste spreadsheet exports and get GFM-ready tables for GitHub docs, blogs, and knowledge bases. It applies the csv parsing (Parse: split by comma respecting quotes → array of arrays; Format: align columns and add | delimiters). For example: convert spreadsheet export to docs — Transform a CSV export from Google Sheets into a markdown table for documentation.