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Excel Studio

AI CSV cleaner for messy business data

Upload CSV or TSV files, profile the data, clean duplicates and blanks, normalize columns, and ask AI for transformations that would be painful by hand.

200 MB

AI processing upload limit

27

Python spreadsheet tools

13

generation templates

Prompt example

Clean this CSV, remove duplicate rows, standardize dates, and flag missing required fields.

AI writes the spreadsheet logic

The model gets metadata and 5 sample rows, then writes Python/pandas logic for the task.

Python runs it on the uploaded file

The workflow is built for usable spreadsheet output, not just a chat answer about spreadsheets.

Download real output

Use XLSX output flows, with CSV available for table outputs when produced.

Use Cases

Where this helps paying users.

These pages target people who already have a job to finish: a file to clean, a formula to write, a workbook to generate, or a report to prepare.

Clean bank exports

Use AI for reasoning and Python tools for structured spreadsheet execution.

Fix semicolon-delimited European CSV files

Use AI for reasoning and Python tools for structured spreadsheet execution.

Normalize names and categories

Use AI for reasoning and Python tools for structured spreadsheet execution.

Split or merge messy columns

Use AI for reasoning and Python tools for structured spreadsheet execution.

Files

XLSX, XLS, CSV, TSV

Use spreadsheet and table exports from your business tools. CSV handling supports common separators and encodings.

Workflow

Generate, process, refine

Start from a prompt or upload an existing file, preview the result, then refine with follow-up instructions.

Accuracy

Code-first execution

AI creates the logic. Python applies it. That separation is the core reason Excel Studio is useful for actual work.

Try these prompts

Start with the job, not the tool.

The best users are not searching for free AI chat. They are searching because the spreadsheet is blocking them right now.

"Clean this CSV, remove duplicate rows, standardize dates, and flag missing required fields."
"Classify each transaction into business expense categories."
"Split the customer address column into street, city, and postal code."

Create the spreadsheet instead of explaining the problem again.

Open Excel Studio, describe the file you need, and let multiple AI models plus Python spreadsheet execution do the heavy lifting.

Start in Excel Studio