Merge Excel files
Combine three matching monthly workbooks, preserve each row's source file, verify counts, and save one quarterly workbook.
AI-powered spreadsheet workflows
Spreadsheet Data Analysis & Automation with AI and Python
Ask questions about your Excel and CSV files in plain English. MLJAR Studio writes real Python code, runs it on your computer, and lets you rerun the same analysis whenever new data comes in.
No data leaves your computer. Free account, no time limit.
Most spreadsheet work is the same steps done by hand, over and over: open the file, clean it up, merge it with another file, calculate something, send a report. VLOOKUPs break when a column moves. Formulas get copied into the wrong row. Nobody's sure which version of the file is the current one.
MLJAR Studio turns that process into Python — written by AI, but visible, editable, and reusable. You keep working with the Excel and CSV files you already have. You just stop redoing the same manual steps every week.
Popular workflows
Start with an Excel merge
Choose the simpler quarterly merge or the folder-scale workflow that detects column changes across a full year of exports.
Merge all Excel files in a folder
Merge twelve monthly exports, catch silent schema drift, reconcile totals by source file, and keep a human in the analysis loop.
One workspace, four outcomes
Four ways to work with your spreadsheet data
01
Analyze
Ask questions, get answers
Type a question the way you’d ask a colleague — “which region had the biggest drop in sales” — and MLJAR Studio generates Python to answer it, with a chart or table you can check.
- Real pandas and Python code, not a black box
- Charts, tables, and summary statistics on demand
- Every answer traceable back to the code that produced it
02
Transform
Clean, merge, standardize
Combine files, fix inconsistent formats, and remove duplicates without writing formulas by hand.
- Merge dozens of Excel or CSV files into one dataset
- Fix mismatched date formats, column names, categories
- Catch missing values and duplicates before they cause problems
03
Automate
Save the workflow, not just the result
Once a workflow works, save it. Point it at next month’s file and run it again in seconds.
- Reusable Python replaces manual copy-paste
- Batch process hundreds of files with one workflow
- Monthly reports that took hours now take minutes
04
Build
Turn it into something your team can use
A notebook that works for you can become a dashboard, chat app, or internal tool others can use — without you becoming a full-time developer.
- Interactive dashboards, no frontend code
- Chat apps that answer questions about your data
- Internal tools for uploads, cleaning, and reporting
Local by design
Your spreadsheets stay on your computer
MLJAR Studio runs locally. Pair it with a local LLM through Ollama and the prompts never leave your machine either — nothing you type, and nothing in your file, is sent anywhere. That matters most for the data you’re not allowed to upload: patient records, financial statements, employee data.
- Works fully offline with a local LLM
- No file uploads to a third-party server
- Built for data you can’t put in the cloud
Your computer is the workspace
Excel & CSV Local LLM
No cloud upload
A familiar mental model
Built for Excel users, not just developers
If you know Excel, you already know most of this. A VLOOKUP is a pandas merge. A pivot table is a groupby. An IF formula is a conditional. MLJAR Studio generates the Python for you and shows you the mapping as it goes, so you can follow along even if you’ve never written code.
Excel
=VLOOKUP(A2,
products!A:D,
4,FALSE)pandas
orders.merge(
products,
on="product_id")From spreadsheet to reusable workflow
How it works
You stay in control at every step. MLJAR Studio handles the setup, shows its work, and saves the result as a notebook you can run again.
- Step 1
Open your file
Excel or CSV, straight into MLJAR Studio.
- Step 2
Ask in plain English
Describe what you need, no syntax required.
- Step 3
Review the Python
Inspect, edit, or rerun the generated code.
- Step 4
Save or share it
Keep it as a reusable workflow, or turn it into a dashboard or app.
When next month's file arrives, rerun the saved notebook instead of rebuilding the analysis.
The important difference
How does this compare to other AI spreadsheet tools?
MLJAR Studio runs locally and shows you the actual Python behind every answer — that’s the main difference from cloud AI spreadsheet tools that hide the logic or require uploading your file.
Hidden answer
Visible code
FAQ
Common questions
Do I need to know Python to use this?+
No. You describe what you want in plain English and MLJAR Studio generates the Python. Knowing Python helps if you want to edit the code, but it isn't required to get an answer.
Does my data get uploaded anywhere?+
No, by default MLJAR Studio runs on your computer. If you also use a local LLM through Ollama, your prompts stay local too — nothing is sent to a cloud API.
What file types are supported?+
Excel (.xlsx, .xls) and CSV files are the main formats, with support for multiple sheets and multiple files at once.
Can I turn my analysis into something my team can use without a login?+
Yes. Once your analysis works in a notebook, you can publish it as a dashboard, chat app, or internal tool with Mercury — no separate frontend build required.
How is this different from just using Excel formulas?+
Formulas are hard to audit, reuse, or scale past a certain file size. Python code generated here is visible, editable, version-controllable, and works the same on a 500-row file or a 5-million-row file.
Is this a replacement for Excel, or does it work alongside it?+
It works alongside it. You keep your Excel and CSV files — MLJAR Studio adds a Python layer on top for analysis, cleaning, and automation you'd otherwise do by hand.
Stop repeating the same spreadsheet work every week
Download MLJAR Studio and try it on your own Excel or CSV file today.