product update

Google Gemini adds direct file generation for Word, Excel, LaTeX, and 8 other formats

TL;DR

Google is rolling out direct file generation to all Gemini users worldwide. The chatbot can now export outputs in 11 formats including Microsoft Word, Excel, PDF, LaTeX, and Google Workspace formats directly from the prompt bar.

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Google Gemini adds direct file generation for Word, Excel, LaTeX, and 8 other formats

Google is rolling out file generation capabilities to all Gemini users, allowing the chatbot to create and export documents in 11 formats directly from the prompt bar.

Supported formats

The feature supports:

  • Microsoft Word (.docx) and Excel (.xlsx)
  • Google Docs, Sheets, and Slides
  • PDF, TXT, RTF, CSV
  • Markdown and LaTeX

Users can generate files by entering a prompt like "create a budget" and tapping the export button to download in their preferred format.

LaTeX support targets scientific users

The inclusion of LaTeX is notable. The typesetting system is used across the scientific community for formatting research papers and journals. According to Google's demonstration, Gemini can use LaTeX to generate diagrams, which could benefit STEM students.

The timing follows OpenAI's recent launch of Prism, a dedicated application for formatting LaTeX journals, suggesting competition in serving academic and scientific users.

Availability

Google is deploying the feature to all Gemini users globally, including those with individual Workspace accounts. The company states the update eliminates the need to "copy, paste and reformat" when moving work between applications.

Context

Anthropic's Claude has offered file editing and generation, including Excel spreadsheets, since September 2024, making Google a follower rather than leader in this capability.

What this means

File generation removes friction for users who need formatted outputs, particularly in education and business contexts. LaTeX support specifically targets a high-value user segment — researchers and academics — where AI adoption has been slower due to formatting requirements. The feature doesn't represent a technical breakthrough but closes a usability gap that has sent some users to competing chatbots.

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