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CSV β†’ Excel

CSV to Excel (XLSX)

Convert a CSV file into a clean Excel (XLSX) spreadsheet.

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Accepted

CSV, Text, XLS

Limit

1 file Β· up to 10 MB

Result

CSV β†’ XLSX

Handling

Auto cleanup after 1h

Usage

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Select a file to begin Ready to configure and run Uploading securely… Queued for processing… Processing your file… Finished β€” your result is ready Processing failed β€” review the message below

πŸ“Š Spreadsheet conversion

Keep a copy of your source data. Check headers, separators, dates and leading zeros in the result before importing it elsewhere.

πŸ“ˆ

Convert CSV data into an Excel workbook.

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Max file size: 10MB

Max files per run: 1

Supported formats: CSV

Upload exactly one CSV file, up to 10MB. It will be converted into an Excel (XLSX) file.

Smart file detection

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Saved tool settings

Save your current settings and apply them with one click.

Advanced: multi-step processing (optional)

Pipeline Builder

Build a multi-step flow (compress, convert, resize, merge) and run it in one upload.

Saved presets

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Files are uploaded and processed in the background. You will see links and previews when the run is finished.

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Input summary

PDF compression summary

Original size

Compressed size

Reduced by

Pages

No file-size reduction for this PDF. Very small or already optimized documents can become larger after reprocessing. You can download the result or keep your original file.

The processed video is larger than your original. Compression savings depend on the source codec, duration and resolution. Compare both files before sharing and keep the smaller original when possible.

Success! Your PDF pages were converted successfully.

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Success! Your PDF was split successfully.

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Success! Your JPG images were combined into a PDF.

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CSV processing summary

Input rows

Output rows

Output files

Rows removed

Output size

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How it works

1

Upload your CSV file

Select a comma-separated or semicolon-separated CSV file. The first row is treated as the header row.

2

Rows and columns are parsed

The CSV is parsed and each column is mapped to a named Excel column. Numeric values are detected and stored as numbers, not text strings.

3

XLSX file is generated

An Excel-compatible .xlsx file is created with your data structured in Sheet 1. Headers are placed in row 1.

4

Download and open in Excel

Download the .xlsx file and open it directly in Microsoft Excel, Google Sheets, or LibreOffice Calc.

πŸ”— Related tools 4 related tools

About CSV to Excel (XLSX)

CSV files are the universal export format for databases, analytics platforms, and CRMs, but they are difficult to navigate when opened raw in Excel: column widths collapse, filters are unavailable, and formulas cannot reference headers by name. Converting a CSV to XLSX gives recipients a structured spreadsheet with defined columns, header row recognition, and full support for sorting, filtering, and pivot tables. This converter parses the CSV, treats the first row as the header, and outputs a clean .xlsx file compa...

β†’ Convert a CRM export from CSV to XLSX before sharing it with a manager who works in Excel. β†’ Transform a raw analytics data dump into a spreadsheet for filtering, pivoting, and charting. β†’ Prepare a CSV product catalog for import review by converting it to a structured XLSX file. β†’ Convert a database export to XLSX so a non-technical recipient can open and navigate it without errors.

Related guides and workflows

πŸ“¦ Supported formats 1 file types

CSV β†’ XLSX

❓ Frequently asked questions 4 answers

Both comma-separated and semicolon-separated CSV files are supported. If your file uses an unusual delimiter, clean it first using the Clean CSV tool.

No. CSV files store plain values, not formulas. Any formula text in the CSV will be stored as a string in the Excel output, not executed as a formula.

Yes. The first row of the CSV is treated as column headers and placed in row 1 of the Excel output. All subsequent rows are treated as data.

Free accounts support CSV files up to 10 MB. Pro accounts extend this for larger exports. Very large CSVs with hundreds of thousands of rows may take a few extra seconds.