tomat

tomat

Tomat is a desktop data-processing app that lets users build visual workflows to clean, transform, enrich and analyze large Excel/CSV datasets using AI, run locally on Windows and macOS, and scale to hundreds of thousands or millions of rows.

tomat is business intelligence software teams evaluate for education & research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free
#128 in Business Intelligence (128 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Quick Overview

Best for: Education & Research

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Education & Research

Pricing snapshot

Free from Includes 30,000 trial credits (no credit card needed to get started).

Next step

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tomat

Tomat is a desktop application for cleaning, transforming, enriching and analyzing Excel and CSV files using visual workflows and integrated AI. It is designed to process large files locally without uploading data to the cloud, enabling point-and-click pipeline building (filter, sort, group, merge, pivot, branch) and applying AI prompts row-by-row for enrichment, verification, summarization or web research. The product targets users who work with tabular data at scale (from single rows up to a million rows), offering reusable step-based pipelines and quick insight and reporting features for non-technical users who know Excel.

No-code data analytics platform with AI for CSV and Excel analysis.

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Key Features

Visual workflow builder

Create reusable step-by-step pipelines (filter, sort, group, merge, stack, pivot, branch) with drag-and-drop steps and instant result previews — no formulas or code required.

Row-by-row AI node

Add a 'Use AI' node to apply a single prompt to every row for enrichment, extraction, cleanup or verification; supports prompt chains and a Web Search option for web research.

Local, large-file processing

Open and work with files of any size locally — files never leave your machine, avoiding uploads, ZIPs and long loaders.

Scale to large datasets

Run AI over datasets of any size, from 1 to 1M rows, and purchase additional AI credits to scale usage.

Data quality and insights

Get instant info on data quality, unique values, distributions, and key statistics within workflows.

Reporting and export

Add charts directly to workflows, build reports and export them as PDF.

Connectors

Support for PostgreSQL and Snowflake connectors and access to additional data sources upon request.

Pricing

Free Tier Available

30,000 trial credits included; no credit card required to start.

Trial

Includes 30,000 trial credits (no credit card needed to get started).
  • 30,000 trial AI credits
  • Access to the Tomat app for local workflows

Solo (customizable AI credits)

Purchase additional AI credits; credits start from 500,000 for $5 (users select number of credits on the Account page).
  • Customizable AI credit packages
  • Ability to add more credits and lower cost per credit with larger purchases

Use Cases

Bulk web research and enrichment

Enter a prompt once and apply it across thousands of rows to enrich or research entries using the Web Search option in the AI node.

CSV/Excel cleanup and consolidation

Automate cleaning, merging and restructuring of messy CSVs from multiple sources using visual steps instead of manual Excel work.

Data verification and classification

Run verification, summarization, sentiment analysis or extraction tasks across many rows using AI prompts and adjust credits based on dataset size.

Reporting and pivoting

Create pivots, charts and exportable reports directly from workflows for analysis and presentation.

Database connector workflows

Use PostgreSQL and Snowflake connectors to build workflows that integrate with data warehouses and other sources.

Integrations

PostgreSQL

Connector support to load and work with PostgreSQL data sources in workflows.

Snowflake

Connector support to load and work with Snowflake data sources in workflows.

OpenAI API (used by Tomat)

Tomat uses the official OpenAI API to process AI prompts and web research when enabled.

Benefits

Saves time by automating repetitive cleaning and enrichment tasks (testimonial cites ~30 hours/month saved).
Processes large files locally so sensitive data never leaves your machine, enhancing privacy and control.
Enables non-technical users to build complex pipelines without formulas or code via a visual UI.
Scales to large datasets (up to 1M rows) and supports bulk AI operations with purchasable credits.
Integrates with databases (PostgreSQL, Snowflake) and supports web research for enrichment.

Limitations

AI processes each row one at a time and cannot access other columns or use multi-row logic.
Web search uses additional tokens and costs depend on the selected model and search depth.
Desktop app is available only for Windows and macOS (no Linux client mentioned).

Frequently Asked Questions

How to use AI?
Download and install Tomat.ai. Create a new workflow, add a “Source” node to load any CSV or Excel file, add the “Use AI” node and enter your prompt. The AI processes each row one at a time and only sees the columns you mentioned. To research the web, enable the Web Search option in the AI node.
How to buy AI credits?
Select the Solo plan from the Account page in the Tomat app and choose the number of AI credits you need. Credits start from 500,000 for $5 and larger purchases lower the cost per credit.
How many AI credits do I need?
You start with 30,000 trial credits. Typical tasks on multiple datasets (10–15 datasets with ~1,000 rows each) may need 500,000–1,000,000 credits; simpler tasks often require 100,000–200,000 credits. Web search uses additional tokens depending on model and search depth.
Can Tomat work with other file formats besides CSV and Excel?
Tomat supports PostgreSQL and Snowflake connectors and you can contact Tomat to gain access to over 450 additional data sources.
What skills are needed to start working with Tomat?
If you know Excel it’s enough; no special technical knowledge is required.
What operating systems do you support?
Tomat.ai is compatible with Windows and macOS.
Is Tomat safe and secure to use?
Tomat works entirely on your local machine so files never leave your laptop; you maintain full control and ownership of your data. Tomat uses the official OpenAI API and only sends data you have asked to improve or enrich, and never sends private data to the cloud without your permission.

Getting Started

  1. 1 Download and install the Tomat app (available for Windows and macOS).
  2. 2 Create a new workflow and add a “Source” node to load any CSV or Excel file (or use supported connectors).
  3. 3 Add a “Use AI” node, enter your prompt and optionally enable Web Search; test prompts on a few rows and then apply to all data.

Support

Docs

Product documentation available from the website (Docs link).

Community

Community resources and forums referenced on the site for user questions.

Contact / Sales

Use the 'Talk to us' / contact links on the website or the Account page in-app for purchases and access to additional data sources.

API

Available: No

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