Tomat

Tomat is a desktop application that brings no-code data analysis to anyone who works with spreadsheets. It lets you open Excel or CSV files of any size and transform them using a visual, step-by-step interface. Instead of writing complex formulas or code, you drag and drop operations like filtering, sorting, and grouping to clean and organize your data. The tool provides instant previews of each change, making it easy to build complex workflows involving table merging, pivots, and branching logic without technical skills. Everything runs locally on your computer, so your sensitive data never needs to be uploaded to the cloud.

What makes Tomat stand out is its integration of AI for bulk data tasks. You can use the 'Use AI' node to write a prompt—like 'find the company website for each contact' or 'categorize these products'—and apply it to every row in your dataset. The AI can also perform web searches to enrich your information. You can test prompts on a few rows first, then run them at scale, even building chains of prompts for multi-step tasks. The app uses official OpenAI APIs, but only sends the specific data you specify in your prompt for processing.

This tool is ideal for business analysts, researchers, or small business owners who regularly deal with messy data from multiple sources. A typical use case might involve taking a messy customer export from various systems, cleaning it up with visual steps, and then using AI to find missing website links or categorize entries—saving hours of manual work. Since it requires no coding and works entirely offline, it's perfect for anyone comfortable with Excel who wants to automate their data preparation and enrichment workflows securely.