Create Social Media Content in 100+ Languages with AI

I have a client whose entire audience is in Brazil. Portuguese speakers, Brazilian platform culture, humor that doesn't translate if you force it through English first. When she first started using AI tools to repurpose her content, she tried everything. Google Translate on top of ChatGPT. Manual rewrites. Hiring a contractor for every batch. Nothing worked well. The posts sounded like corporate Portuguese, not the way her audience actually talks.

Then she switched to a tool that generates natively in the input language. The difference was immediate. Posts that sounded like her again.

That's what Reslice does. Write your input in any language, and the outputs come back in that same language. Not translated. Generated. Spanish in, Spanish out. Japanese in, Japanese out. Arabic in, Arabic out. No language picker to configure, no quality penalty, no awkward phrasing.

How the Language Matching Actually Works

Reslice runs on Google Gemini, which is one of the more capable multilingual models available right now. It supports 100+ languages for generation. When you paste content in, the AI picks up the language automatically and generates everything in kind.

There's no dropdown. No "enable multilingual mode." You just write in your language and that's what comes back. Works the same whether you're repurposing an existing article or generating from a rough idea.

Here's the sequence:

1. You paste content in your language
2. The AI detects it automatically
3. Platform-specific outputs are generated in that language for every platform you selected
4. Each output follows the conventions of that platform (X hooks, LinkedIn structure, email subject lines) in your language

This last point matters more than it sounds. A Spanish X thread doesn't just translate a hook formula. It generates a hook that actually works in Spanish. A Japanese LinkedIn post isn't a word-for-word version of the English one. It reads like something a Japanese professional would write on LinkedIn.

Which Languages Are Supported?

Over 100, including:

• European: Spanish, French, German, Portuguese, Italian, Dutch, Polish, Swedish, Norwegian, Danish, Finnish, Greek, Czech, Romanian, Hungarian, Ukrainian, Croatian, Bulgarian, and more
• Asian: Japanese, Korean, Chinese (Simplified and Traditional), Hindi, Bengali, Thai, Vietnamese, Indonesian, Malay, Tamil, Telugu, Urdu, and others
• Middle Eastern and African: Arabic, Hebrew, Turkish, Persian, Swahili, Amharic, Hausa, Yoruba, Zulu
• Other: Russian, Kazakh, Georgian, Armenian, Filipino, and many more

Quality is strongest in widely-spoken languages where Gemini has deep training data. European languages, East Asian languages, Arabic, and Hindi are all solid. Less common languages work but may show more variation in output naturalness. Worth testing before committing to a client workflow in a niche language.

Why This Actually Matters

About 75% of internet users are non-English speakers. Most AI content tools were built for English-speaking markets and added multilingual support as an afterthought. The results show.

If you create content outside English, you've probably run into two options that both stink. Option one: write in English, then translate. Expensive, slow, and translated social copy often sounds stiff. Option two: hire native copywriters for every language. Best quality, but the cost scales badly.

Reslice is a third path. Write once in your language, get platform-native outputs. The AI isn't converting your text word by word. It's generating new content that was born in your language. That's why it reads naturally.

Who Gets the Most Out of This

Non-English creators and entrepreneurs

If Portuguese, German, Korean, or any other language is your primary language, you're a first-class user here, not an afterthought. Write a blog post in German, paste it in, get a German X thread, a German LinkedIn post, a German Instagram caption. No workarounds.

Multilingual businesses

A Brazilian startup can generate Portuguese for their home market and Spanish for Latin American expansion from the same tool. An agency handling clients across markets doesn't need to hire a language specialist for every account.

International marketing teams

Write the campaign brief once, generate platform-specific content for each target market, maintain brand voice across all of them. I've seen teams cut their localization workflow from days to hours this way.

Getting Better Results in Any Language

A few things I've noticed that help:

Write your input in the output language you want. Obvious, but worth stating clearly. French input gives you French output. Don't write in English and expect good French results.

Longer input produces better output. This is true generally with AI tools but especially matters for languages with complex grammar or multiple formality registers. A 200-word input gives the model enough context to get tone right. Fifty words often doesn't.

Test different tones. The tone selector (professional, casual, humorous, bold) works across languages. Humor especially varies by culture, and the AI adapts its approach. Try a few and see what lands for your audience.

Know your market's platform conventions. LinkedIn in the US skews personal and storytelling-heavy. LinkedIn in Germany trends more formal. X in Japan has different engagement patterns than X in Brazil. Reslice handles the base formatting, but you know your audience better than any tool does. A quick review pass where you add local flavor makes a real difference.

It Works on Every Plan

Multilingual support isn't a premium add-on. It works on the free tier the same as Pro. No per-language fees, no language packs. Generate Portuguese in the morning, Hindi in the afternoon, Japanese that evening. All from the same account, using the same generation credits.

If you've been looking for a repurposing tool that actually works in your language, paste something into Reslice and see. The free plan covers 5 generations per month, no account required to test it.