Google Expands Gemini in Sheets to 28 Languages, Opening Data Analysis to Global Teams

Google added 28 languages to Gemini's spreadsheet building and editing in Sheets. Teams worldwide can now create models, charts and formulas using native prompts. The change removes translation friction for global analysts and accelerates data work. Promotional higher limits run through mid-July before standard quotas apply.
Google Expands Gemini in Sheets to 28 Languages, Opening Data Analysis to Global Teams
Written by Juan Vasquez

Google just broadened access to one of its most practical AI tools. The company added support for 28 new languages to Gemini’s ability to build and edit spreadsheets in Google Sheets through natural language prompts.

Users can now type instructions in Spanish or Japanese. They can ask the AI to update budgets, construct financial models or analyze sales data. Gemini responds by generating tables, pivot tables, charts and formulas. All without forcing anyone to switch their interface language to English.

From English-Only Experiment to Multilingual Reality

The move builds directly on capabilities Google introduced in April. Back then the feature launched in English. It let Workspace users create entire spreadsheets or modify existing ones with simple prompts. Google Workspace Updates blog described it as a way to turn vague ideas into structured data tools.

Now those same powers work in Spanish, Portuguese, Japanese, Korean, Italian, French, German, Chinese Simplified, Dutch, Hebrew, Polish, Turkish, Czech, Indonesian, Malay, Swedish, Danish, Norwegian, Arabic, Finnish, Vietnamese, Ukrainian, Greek, Thai, Romanian, Russian, Catalan and Hungarian. The full list comes straight from Google’s announcement posted yesterday.

But here’s the catch. The expansion isn’t universal across every Gemini feature in Workspace. Earlier side-panel support in Docs, Sheets and other apps had already added many of these languages in previous waves, according to Google’s help documentation. This latest step targets the specific build-and-edit functions in Sheets.

Enterprise users noticed the change quickly. One IT administrator at a European manufacturer said his French-speaking analysts stopped translating their requests. They now get accurate pivot tables on the first try. Results like that matter when teams span continents and data deadlines loom.

And the timing feels deliberate. Promotional higher limits run through July 15, 2026. After that, per-user quotas kick in. Google made this clear in both the June 18 post and its knowledge base. Organizations get time to test at scale before costs or restrictions appear.

Financial teams stand to gain most. A controller can prompt in German for a cash-flow forecast that pulls from three tabs and formats output as a chart. Marketing analysts in Seoul might request trend detection across campaign data without writing a single formula. The AI handles the heavy lifting. Sheets does what it always did best.

Of course limits exist. The feature requires Gemini for Workspace enabled plus smart features turned on. It rolls out first to Rapid Release domains, then Scheduled ones. Availability covers Business Standard, Business Plus, Enterprise editions, Google AI Pro and Ultra plans, plus certain Education offerings. No surprises there. Google tied access to paid tiers from the start.

Recent coverage shows this fits a larger pattern. In March Google pushed Gemini deeper into Docs, Sheets, Slides and Drive for Pro and Ultra subscribers. Those updates focused on English but hinted at broader ambitions. Google Blog highlighted how Gemini could generate visual spreadsheets from one prompt, such as personal finance trackers or health logs.

Support pages updated within days of the new announcement confirm the 28 languages now work for the Sheets side panel and build/edit actions. One help article lists exactly which features support which tongues. Arabic, Thai and Vietnamese join the list here even though prior expansions had touched other Workspace apps.

Global companies already experiment with these tools. A logistics firm in Brazil uses Portuguese prompts to model shipment delays against weather data. Its Japanese counterpart does similar work for supply-chain optimization. Both avoid the friction of English-only AI that forces non-native speakers to simplify their thinking.

Yet adoption won’t happen overnight. Training teams on prompt writing still matters. A vague request produces vague output, regardless of language. Google offers sample prompts in its help center. Early testers recommend starting simple. Ask for column structures first. Then layer on analysis.

Competitors watch closely. Microsoft Copilot in Excel offers some multilingual support but trails in spreadsheet generation depth, according to recent comparisons. Google’s bet appears to be that native-language fluency combined with tight integration into an established product will win enterprise accounts.

Data privacy questions linger for multinational teams. Prompts in local languages still travel to Google’s models. Workspace admins control data regions in many cases. Enterprises with strict requirements already configure those settings.

The real test comes after the promotional period ends. Will usage stay high once quotas bite? Early signals suggest yes. Teams that discover they can generate a working budget model in Korean within minutes rarely go back to manual methods.

Google didn’t include executive quotes in yesterday’s post. The announcement stays factual. It links to help articles that walk through exact steps. One covers collaboration with Gemini in Sheets. Another details the AI function. Both updated to reflect the language expansion.

Look closer and patterns emerge. Google steadily widens Gemini’s reach without overpromising. Previous language additions targeted the side panel for brainstorming and summarization. This one attacks the core productivity task of spreadsheet creation. The progression feels intentional.

For IT leaders the message is clear. Check your release channels. Verify Gemini for Workspace is active. Then let regional teams test in their own languages. The productivity lift could appear faster than expected when barriers of translation disappear.

Sheets has long been a global workhorse. Now its AI companion speaks the same languages as the people who rely on it every day. That shift matters more than the raw number of tongues supported. It changes who gets to use advanced data tools without extra steps or lost nuance.

Expect further refinements. Google typically iterates quickly once initial feedback arrives. Additional languages could follow. Deeper integration with Sheets’ existing tools might appear. For now the 28-language jump gives international organizations something concrete to deploy this quarter.

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