Luminal

Fast, powerful, and a breeze to use, Luminal gives you the superpowers of a professional data analyst, with none of the complexity. Perform powerful editing ope...

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What is Luminal?

Luminal is an AI-powered spreadsheet copilot that enables users to clean, transform, analyze, and visualize data using natural language commands instead of complex formulas. It supports files with tens of thousands of rows and is designed for both professional and personal use across any skill level.

Luminal pricing

Pricing model: Freemium

Free (5 interactions) + Plus ($10/mo for 150/mo interactions) + Professional ($30/mo for 500/mo interactions) + Enterprise (custom)

Luminal pros

  • Handles very large datasets (tested with millions of rows) and performs tasks in seconds
  • Natural language interface requiring no coding or formula knowledge
  • Multi-language support (Chinese, French, Hindi, Spanish, Japanese, Turkish, Polish, Korean, Thai, and others)
  • Strong security with end-to-end encryption, secure US/EU hosting, and data encryption in transit and at rest
  • Supports visualization creation (graphs, charts, maps) through simple instructions

Luminal cons

  • Free tier is extremely limited at only 5 total interactions, making it unsuitable for regular use
  • No information provided about accuracy guarantees, error handling, or complex nested data structure support
  • No offline functionality mentioned; requires uploading files and internet connectivity

Frequently asked questions about Luminal

What file formats does Luminal accept?

Luminal supports CSV, XLSX, XLS, and XLSM file formats.

Is my data secure on Luminal?

Yes, data is encrypted both in transit and at rest, hosted securely with top-tier cloud providers in the US/EU.

What languages can I use with Luminal?

Luminal supports English and numerous other languages including Chinese, French, Hindi, Spanish, Japanese, Turkish, Polish, Korean, Thai, and more.

How large can my spreadsheets be?

Luminal can handle spreadsheets with tens of thousands to millions of rows of data.

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Use cases

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