Local data loading
Load CSV, Excel, and supported database sources into a desktop workflow before applying analysis steps.
Tomat AI
Freemium
Desktop data analysis for CSV, Excel, and databases with visual workflows and AI
What is Tomat AI?
Tomat AI is a desktop data analysis tool that combines visual workflow building with AI-assisted data preparation. It is designed for people who work with CSV and Excel files, and it also supports PostgreSQL and Snowflake connectors, with access to additional data sources available on request.
The product’s main job is to help users clean, transform, enrich, summarize, and analyze data in a step-by-step interface. The site emphasizes local processing on Windows and macOS, reusable workflows, and AI steps that can handle tasks such as extraction, translation, sentiment analysis, and web research.
What can Tomat AI do?
Visual workflow editor
Build reusable pipelines with visual nodes and drag-and-drop steps instead of formulas or code.
Row-level AI steps
Apply AI to one row at a time with prompts for enrichment, extraction, cleanup, translation, summarization, and sentiment analysis.
Web research in workflows
Use web search inside the AI node when a workflow needs external research, with token usage tied to the selected model and search depth.
Built-in profiling and previews
Inspect data quality, unique values, distributions, and key statistics while building the workflow.
Reporting and export
Add charts, create reports, and export results as PDF from the workflow.
Use Cases
“Spreadsheet cleanup and restructuring”
Clean large CSV or Excel files in a repeatable workflow instead of manually editing the same dataset in spreadsheets.
“Row-by-row enrichment”
Apply an AI prompt to every row to extract fields, translate text, or generate summaries from tabular data.
“Bulk web research”
Use web search in the AI node to research entities across many rows, then write the results back into the table.
“Exploratory data checks”
Review data quality, unique values, distributions, and other summary statistics before deciding on the next workflow step.
“Reporting and handoff”
Build reports with charts and export them as PDF when the workflow needs a shareable output.
Frequently Asked Questions
How do I use Tomat AI?
Tomat AI works by downloading the desktop app, creating a workflow, and adding a Source node to load a CSV or Excel file. You can then add a Use AI or AI Column step and describe the enrichment, extraction, cleanup, or analysis you want.
What platforms does Tomat AI support?
The source says Tomat AI is compatible with Windows and macOS.
Can Tomat AI connect to sources beyond CSV and Excel?
Yes. Tomat AI supports PostgreSQL and Snowflake connectors, and the site says you can contact the team for access to 450+ additional data sources.
How does AI credit usage work?
Tomat AI starts with 30,000 trial credits. The pricing page says you can buy additional AI credits on the Solo plan, and the site notes that 1 credit equals 1 token.
Is Tomat AI local or cloud-based?
The site says Tomat AI keeps data on the local machine, so files never leave your laptop unless you choose to send data to the AI for the task you asked it to do.
Quick Facts
- Category
- Data analysis and workflow automation
- Platform
- Windows and macOS
- Primary input types
- CSV, Excel, PostgreSQL, Snowflake
- Pricing shape
- Free trial, Solo plan, Team plan, Enterprise contact flow
- Notable workflow
- Visual workflows with AI steps for cleanup, extraction, summarization, and sentiment analysis
- Source domain
- tomat.ai
Tomat AI Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 25
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