Rows AI
Rows is a spreadsheet platform that adds an embedded AI analyst for extracting data from PDFs and images, importing live data from ad and analytics tools, and transforming tables by natural language, with a free plan that includes 20 AI tasks per month and paid plans for higher limits.
Overview
Rows is a spreadsheet product built for business teams that want faster analysis and automation without leaving a familiar table interface. Its AI features are positioned as deeply embedded: you can access AI from a bubble inside the spreadsheet or by typing in a cell, and use it to add columns, clean data, build charts, summarize tables, and run more advanced analysis tasks. Rows AI also emphasizes data ingestion.
The AI page describes extracting tables and text from PDFs, screenshots, and scans using vision and language models, and importing live data from third party tools such as GA4, Google Search Console, Google Ads, Facebook Ads, and LinkedIn Ads. That combination makes it useful for marketing and operations reporting where data often arrives in messy formats. Pricing is published with a Free plan at $0.
The pricing page lists the Free plan with 20 AI tasks per month, manual data table import, and integrations for up to 10 accounts. Paid plans expand the AI task limits and automation cadence. The AI page also states AI is available in all plans, with the Free plan having limited executions and paid plans offering unlimited executions.
Rows publishes explicit privacy statements for its AI features. It states only minimum necessary information is sent to the AI, your data is not used to train AI models, and it describes what is shared such as headers and a small row sample. For evaluation, test the AI task limits, the quality of PDF extraction, and whether connectors match your data sources and reporting cadence.
Key features
- AI in the spreadsheet: Access Rows AI from an in app bubble or by typing in a cell to run analysis and transformation tasks
- PDF and image extraction: Extract tables and text from PDFs screenshots and scans using vision plus language models
- Live data connectors: Import live data from GA4 Search Console Google Ads Facebook Ads and LinkedIn Ads and social pages
- Table transformation: Ask AI to add columns clean messy inputs merge datasets and reconcile tables with natural language
- Advanced analysis tools: The AI page lists predictive modeling significance tests clustering and cohort style analysis tasks
- Plan based AI limits: The AI page states Free has limited executions while paid plans include unlimited executions
- Privacy controls: Rows states data is not used to train models and only minimal information like headers and sample rows is shared
- Model mix disclosure: Rows states it uses a combination of OpenAI GPT models Llama and other LLMs and updates them regularly
Best for
- Marketing reporting: Pull ads and analytics data into one sheet and generate summaries and charts for weekly performance reviews
- PDF to table workflow: Convert invoice style PDFs or reports into structured tables you can filter and analyze quickly
- Data cleaning sprint: Remove duplicates standardize text fields and fix inconsistent categories before dashboards are shared
- Table reconciliation: Compare two tables and identify mismatches so finance ops or CRM data issues are found early
- Text classification: Extract key concepts and classify text like tags or sentiment to make qualitative data measurable
- Quick model building: Build simple calculators and spreadsheet models from prompts to speed up planning scenarios
- Ad hoc analysis: Ask natural language questions to compute stats and segment data without writing complex formulas
- Data enrichment: Add relevant context fields to a dataset using controlled prompts while keeping source data in the sheet
Capabilities
Natural language analysis
Use Rows AI to summarize tables, add computed columns, and generate charts from prompts. It is designed to operate inside the spreadsheet UI so analysis steps stay close to the data and remain editable after AI runs.
Document to table
Extract structured tables and text from PDFs and images using vision plus language models. Validate extraction accuracy on your document types, especially multi page layouts and inconsistent scans.
Live data imports
Connect and import live data from marketing and analytics tools like GA4 and ad platforms. Confirm connector coverage, refresh cadence, and permissions to ensure reporting is repeatable and compliant.
Privacy and sharing
Rows states it sends only minimum necessary data to the AI, does not use your data to train models, and shares limited context like headers and small row samples. Review privacy policy and test with non sensitive data first.
Frequently Asked Questions
Is Rows free to use and what are the limits?
Yes. Rows offers a Free plan at $0, and the pricing page lists 20 AI tasks per month on that plan. The AI page also says AI is available in all plans, with the Free plan having limited executions and paid plans including unlimited executions.
What data does Rows share with AI and is it used for training?
Rows states only minimum necessary information is sent to the AI and that your data is not used to train AI models. It also describes sharing table headers, a sample of up to 5 rows, and basic statistics like min and max values.
Which models power Rows AI?
Rows states it uses a combination of OpenAI GPT models, Llama, and other LLMs, and that these are regularly updated. If model choice is a requirement, Rows also states you cannot currently switch to a different model except via enterprise discussions.
Does Rows support integrations like Google Ads or GA4?
Yes. The Rows AI page lists importing live data from GA4, Google Search Console, Google Ads, Facebook Ads, and LinkedIn Ads among other sources. Validate connector permissions, refresh limits, and which fields are available for your accounts.
How does Rows compare to Excel or Google Sheets with add ons?
Rows positions AI as native to the spreadsheet with built in extraction from PDFs and integrated connectors, reducing reliance on separate scripts or extensions. Compare by testing speed of extraction, automation reliability, and whether AI task limits align with your monthly reporting volume.
