Excel to CSV / JSON

Why Convert Excel to CSV?

CSV (Comma-Separated Values) is the universal data exchange format supported by virtually every data tool, database, and programming language. Converting your Excel spreadsheets to CSV makes them compatible with systems like PostgreSQL, MySQL, Python pandas, R, Tableau, Google BigQuery, and cloud-based data pipelines. CSV files are also significantly smaller than Excel binaries, making them easier to share via email and faster to process in automated workflows.

Output Format Guide

• CSV — Best for database imports, data analysis, and legacy systems. Each sheet is exported as a separate .csv file. The output uses UTF-8-BOM encoding so that non-ASCII characters display correctly when opened in Excel or other spreadsheet applications. Ideal when you need raw, portable data without formatting.
• JSON (array of objects) — Each row becomes an object keyed by the header row. This format is a natural fit for web APIs, JavaScript and TypeScript projects, and document databases like MongoDB. The header row is consumed as keys and does not appear in the output data.
• JSON (array of arrays) — Preserves the strict tabular structure with no header mapping. Use this when your data lacks a header row, when column positions must remain fixed, or when the consuming application expects positional arrays.

Practical Tips

Use the "Sheet name" field to extract a single sheet when your workbook contains multiple tabs. Leave it blank to convert every sheet — each becomes its own output file. Multiple files are bundled into a ZIP archive for convenience. Formulas are evaluated during conversion so only the computed cell values appear in the output, not the formulas themselves. For best results ensure your data has a clean header row when using the JSON objects format.