Rows AI

rows.com
Low-code/No-code Open Source

Rows AI is a spreadsheet platform designed to simplify data analysis and transformation through plain-language commands. Built for teams, marketers, and analysts who handle complex datasets, this tool eliminates the …

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Visits
2
Listed since
May 20, 2026
Audience
Best for: Financial analysts, Digital marketing …
Pricing
Open Source

About Rows AI

TL;DR

Rows AI is a spreadsheet platform designed to simplify data analysis and transformation through plain-language commands. Built for teams, marketers, and analysts who handle complex datasets, this tool eliminates the …

Rows AI is a spreadsheet platform designed to simplify data analysis and transformation through plain-language commands. Built for teams, marketers, and analysts who handle complex datasets, this tool eliminates the need for manual formula writing and complex menus. Users can interact with their spreadsheets by typing natural language prompts directly into cells to execute tasks like creating charts, fixing formulas, and extracting specific insights. Beyond basic calculations, the platform automates data transformations, enabling users to join tables, generate calculated columns, and run multi-table lookups seamlessly. It also features advanced analytical capabilities, including predictive forecasting, outlier detection, and scenario-based what-if analysis. By transforming natural text requests into complex spreadsheet operations, the platform helps users slice, aggregate, and pivot data without needing deep technical expertise. Now integrated with Superhuman, it serves as an intuitive digital companion that speeds up data preparation and reporting workflows.

Use Cases

Real-world scenarios where Rows AI saves time.

Use Case 1: Non-Technical Data Transformation

Problem: Marketing coordinators struggle with nested spreadsheet formulas and VLOOKUP setups.
Solution: Use Rows AI to describe target operations in natural language inside cells to automatically create formula columns and clean data.
Example: Writing '=extract emails from the domain column' to pull contact information without code.

Use Case 2: Visualizing Metrics Instantly

Problem: Analysts need to quickly present data patterns without manual chart configuration.
Solution: Ask the built-in AI analyst to evaluate a data set and design a corresponding visual chart.
Example: Generating a line chart comparing active monthly users across multiple marketing campaigns via a simple prompt.

Use Case 3: Paper-to-Data Digitization

Problem: Financial administrators have to manually enter transaction details from printed PDF invoices.
Solution: Upload PDF files or screenshots directly to convert them into fully editable, clean tabular datasets.
Example: Transforming a stack of paper supplier receipts into an organized, dynamic financial sheet in seconds.

Key Features

What you get out of the box.

  • Natural language spreadsheet formula generation
  • Dynamic image and document text ingestion
  • Integrated codeless Python predictive modeling
  • Auto-categorization and sentiment tagging tools
  • Global corporate and geographic directory enrichment

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