Rows AI

Rows AI

Analyze, summarize and transform data faster with AI.

AppCritica Score 3.6/5

What is Rows AI?

Rows AI integrates artificial intelligence directly into spreadsheets to automate data analysis, transformation, and content generation tasks. Users describe what they need in natural language, and the AI handles formula creation, data cleaning, classification, extraction, and summarization without requiring code or SQL. The platform combines spreadsheet functionality with 50+ integrations, enabling users to import data from analytics tools, databases, APIs, and documents then process and enrich that data through AI-powered operations. Rows positions itself around speed and accessibility, emphasizing the ability to accomplish spreadsheet work 10x faster by replacing manual formulas and repetitive tasks with conversational prompts.

More About Rows AI

Core Strengths:

  • Enables AI‑assisted spreadsheet workflows using natural language in cells.
  • Generates insights, charts, and summaries without manual formulas.
  • Extracts tables from PDFs, images, and screenshots into editable data.
  • Connects with 50+ data sources including GA4 and ad platforms.
  • Supports forecasting, outlier detection, and what‑if analysis.
  • Enriches data with real‑world context

Use Cases:

  • Business reporting: Generate summaries and dashboards without BI platforms.
  • Financial planning: Run forecasting and what‑if scenarios across data tables.
  • Marketing analytics: Import ad and web data for trend spotting.
  • Data cleanup: Tag, classify, and standardize text fields quickly.
  • Document extraction: Convert PDFs and images into structured tables.

Pros & Cons

Pros:

AI built-in, no extra installations or extensions needed.

Pulls data from PDFs, screenshots, analytics platforms, and other tools.

Natural language queries replace formulas or SQL.

Free plan available with no trial limits or credit card needed.

Cons:

Doesn’t show independent user reviews for real-world reliability.

Paid tier pricing details aren’t fully clear.

No info on speed, API limits, or large-scale performance.

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