Extract data from your spreadsheets for databases and analysis. Handles multiple sheets.
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Extract raw data from your spreadsheets. Convert XLSX and XLS files to clean CSV format instantly.
Drag & drop your .xlsx or .xls file. We handle files with single or multiple sheets effortlessly.
Pandas engine reads each cell, handling dates, currencies, and special characters smartly.
Get a clean CSV file. If there are multiple sheets, we'll zip them up nicely for you.
CSV files are the universal language of data. They can be opened by any spreadsheet software, text editor, or database importer.
Converting Excel to CSV seems simple until you encounter dates that turn into serial numbers, special characters that break encoding (like Bengali or Emojis), or merged cells that ruin the structure.
We use Python's Pandas library—the gold standard in data science—to handle your files. It intelligently parses types, formats dates correctly, and ensures every cell is preserved exactly as meant to be interpreted by machines.
We also enforce UTF-8 encoding on all outputs, ensuring your data is ready for modern web apps, SQL databases, and data pipelines without character corruption.
Clean comma-separated values ready for databases.
Supports all languages, emojis, and symbols.
Each sheet becomes a separate CSV file automatically.
Excel files (.xlsx) are great for human viewing with their formatting, colors, and formulas. But when you need to feed data into a system, import it into a database, or analyze it with code, they can be heavy and complex.
CSV (Comma Separated Values) strips away the visual noise. It's a plain text format where data is separated by commas. It is light, fast, and supported by virtually every data tool in existence.
The character that separates values. In CSV, it's a comma (,), but sometimes semicolons (;) are used in Europe.
How python translates bytes to characters. We use UTF-8 to support all languages.
An Excel file is a Workbook that can contain multiple Sheets. A CSV file represents only one Sheet.
The robust internal data structure we use to hold your data during conversion.
Your data is processed in isolated containers and instantly deleted. No one sees your financials or customer lists.
Enterprise Ready"Finally a converter that handles dates correctly! No more fixing serial numbers manually."
"I use this to clean up vendor price lists before importing to Shopify. Works like a charm."
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