Merge Multiple Excel Files into One

Combine multiple Excel (XLSX, XLS) or CSV files into a single spreadsheet instantly. Free, secure, and runs in memory. No file size limits.

Last Updated: January 2026 • Version 2.1

📂

Drop Excel or CSV files here

or click to browse

Supports .xlsx, .xls and .csv mixed

Files are processed securely in RAM and deleted instantly.

🛠️ How to Use

  1. 1

    Click 'Browse' or drag and drop your Excel (.xlsx, .xls) or CSV files.

  2. 2

    The tool reads ALL sheets from every file automatically.

  3. 3

    Click 'Merge Files Now' to stack all data into one master sheet.

  4. 4

    Download your consolidated 'merged_data.xlsx' file instantly.

? FAQ

Does it merge all tabs/sheets?

Yes! Unlike other tools, DataMani reads every single sheet from your Excel files and stacks them into one master dataset.

Is my data secure?

Yes. Processing happens 100% in temporary RAM. Files are deleted immediately after the merge process. We do not store your data.

Can I merge CSV and Excel files together?

Absolutely. You can upload a mix of .csv, .xlsx, and .xls files. The tool normalizes them into a single master Excel file.

Why Merging Excel Files Manually is a Risk

For Data Analysts, merging monthly reports (e.g., "Sales_Jan.xlsx", "Sales_Feb.xlsx") is a routine task. Doing this manually by copying and pasting is not only tedious but prone to human error. A single missed row or a shifted column can corrupt an entire analysis.

How DataMani Handles Data Integrity

Unlike simple "copy-paste" scripts, DataMani uses the Pandas library in Python to handle dataframes intelligently:

Security: The RAM-Only Approach

Most online tools save your file to a hard drive (S3 bucket or FTP) before processing. This creates a security vulnerability. DataMani runs on a Stream-based architecture. Your file upload is streamed directly into the server's Random Access Memory (RAM), processed instantly, and streamed back to you. Once the HTTP request closes, the RAM is cleared by the operating system. Your data never "rests" on our hard drives.