Same Brand, New Language: Change the Language of a Logo with AI

At some point, a company gets ready to launch in a new market and runs into a very specific problem: the logo only exists in one language. Nobody wants to redesign something that already works. The goal is simpler and trickier at the same time: keep the brand recognizable, but make it work in another language without losing the original feeling.

I used ChatGPT to refine the prompt, Nano Banana to generate images, and Canva to polish the visual concept. Surprisingly, that stack was enough to turn logo translation into a few focused hours of work instead of a full-scale rebrand.

In this guide, we will cover how to create a version of your logo in another language when you already have an established brand, and how to refresh the visual style without drifting into a full redesign.

How to translate a logo to another language with AI

I set myself a fairly simple task: take an existing logo, change the language of the wordmark, preserve the recognizable style of the brand, and generate a PNG logo that could later be used on a website, in documents, and across social media.

This workflow is especially useful when the original font has been lost, does not support the target script, or when you simply do not want to rebuild everything manually from scratch. The real secret is preparation.

• Decide whether you are adapting the current logo or intentionally redesigning it.
• Collect a reference image of the existing wordmark if preserving style matters.
• Be precise about the new wording and what it should communicate in the target language.

Step one: decide whether you are adapting or redesigning

Before opening any generative tool, make one decision: do you want to keep the old logo and simply change its language, or do you want to create a new logo based on a fresh reference? That choice shapes the entire process.

If your goal is to preserve the style, you need a reference image of the existing logo. If you want to freshen up the brand a little, you can start generating several new directions right away and choose from them.

I went with the first option. I wanted to keep the brand character, but adapt it to a different language system. Along the way, it became obvious that the same process can easily be pushed further and used to create a completely new logo too.

A ready-made workflow in Phygital+

In practice, this works best as a small team of AI models, each handling its own task. The job of changing the language of a logo gets broken into a short sequence of steps, and each model only does its own share of the work.

1. Prompt preparation with GPT Text.
2. Logo generation with Nano Banana.
3. Option refinement in Canva.
4. Final cleanup and export.

I tried this inside Phygital+, where different image and video models run inside one workspace. That alone is convenient because everything happens in a single browser tab, with no need to jump between tools.

For manual edits I used Canva, although Photoshop or any other editor would work just as well. The point is not to make AI do every last detail; it is to let AI prepare strong raw material that you can refine with your own taste.

Prompt for a logo in another language

GPT Text is especially useful at the start because it turns a rough idea into a much more detailed prompt. A better request means fewer wasted generations, less prompt fatigue, and less fear of the blank page.

First, upload the original image of the existing logo that will serve as the reference for the model. In my case, it was three versions of a navy-blue logo in Latin script: a social media version, a full version, and a dark-mode variant.

Then connect GPT Text and ask it to describe the visual logic in a way the image model can understand. I usually take the best details from several alternatives and assemble a cleaner final prompt by hand.

Generating the logo in Nano Banana

Next I used Nano Banana 2.5, which handled non-Latin typography surprisingly well. Some image models can generate strong logo directions but still struggle with non-Latin scripts, so matching the model to the language is part of the workflow.

The setup is simple: connect the prompt from GPT Text and the reference image of the existing logo. By the same logic, you can also create a completely new logo by replacing your old logo with style references from other brands or typefaces you like.

Once one generation gets close, the job changes. You stop trying to get a perfect result from the model and start looking for the version that is most worth refining manually.

Refining the AI logo

My original mini-logo was built from the first letters of the brand name. But the new wording in another language did not map neatly onto that structure, so instead of forcing the old logic to fit, I decided to invent a new compact mark that kept a similar mood.

I generated another image with more emphasis on the soft light-blue shade already present in the identity, then opened Canva and started arranging the options. After that, the work became delightfully manual again: composition, spacing, alignment, and comparison.

In the end, I sorted through ten options and selected the strongest ones for the main logo and the social media mini-logo.

The cleanup: upscaling image and background removal

The final step is entirely practical. Before placing the logo anywhere, check whether the background has been removed properly, whether the image is sharp enough, and whether any blur appeared during later edits.

I used built-in Phygital+ tools for this. Sometimes the model already outputs a transparent PNG, in which case no extra cleanup is needed. If not, a background remover and an upscale pass are usually enough to get the asset ready for websites, documents, and presentations.

What surprised me most was not the quality of individual generations, but the shift in the process itself. In 2026, this is already a short chain of AI agents you can assemble in a single evening, provided you know what result you want and where to leave room for manual refinement.