AI Prompt Translator — Translate to Any Language, Keep the Syntax
Translate any AI prompt to another language while preserving the technical syntax, parameters, and style keywords that make it work.
Free · 30+ languages · Syntax preserved
Real Examples You Can Copy
Translation Examples — Syntax Preserved
EN: "A serene mountain landscape at dawn" → ES: "Un sereno paisaje montañoso al amanecer, luz dorada suave, niebla en los valles, fotografía cinematográfica --ar 16:9"
EN: "Portrait of a woman in a garden" → JA: "庭園の女性のポートレート、自然光、浅い被写界深度、フィルムグレイン、ビネット効果 --ar 4:5"
EN: "Abstract geometric art" → FR: "Art géométrique abstrait, formes nettes, palette de couleurs audacieuse, style minimaliste, composition équilibrée, haute résolution"
How to Use This Tool
Prompt translation in 3 steps
Why it works
Why prompt translation is different from regular translation
Standard translation breaks AI prompts by translating technical keywords that must stay in English.
Part of the prompt tools suite — also use the prompt enhancer before translating.
Standard translation tools break AI prompts by translating Midjourney parameters. This knows which parts to translate and which to preserve.
For multilingual prompt workflows where the prompt structure (parameters, style keywords, model-specific syntax) needs to survive the translation rather than be naively localised. The translator keeps the technical anchors intact and translates only the descriptive content.
FAQ
Frequently asked questions
Related tools
Continue your workflow
How prompt translation handles unknown source formats
The translator and the rewriter do similar work — both restructure a prompt for a different target model — but they solve different problems. The rewriter assumes you know what model the source prompt was written for. The translator handles the case where you don’t. Below is a short editorial primer on when to use the translator, how the auto-detect works, and what to do with the output.
The auto-detect handles the “found a prompt online” case
Most users don’t know what model a prompt was written for. They saw it in a Discord, a subreddit, a Pinterest pin, a YouTube tutorial — and want to use it on their model of choice. The source could be Midjourney, SDXL, Flux, Gemini, ImageFX, or something else, and the formatting cues are not always obvious to a non-expert.
The translator’s auto-detect mode reads the prompt structure and identifies the most likely source model based on:
Parameter flags like --ar, --s, --v are Midjourney-specific. Their presence puts confidence on Midjourney as the source.
Token weighting syntax like (red:1.3) or [blue] are Stable Diffusion conventions. Their presence flags SD as the source.
Long natural-language sentence structure with prepositional phrases and few keyword stacks indicates Flux.
Structured component labels (“Subject:”, “Style:”, “Lighting:”) suggest Gemini Imagen or ImageFX.
Short focused prompts under 30 tokens with no syntax suggest Nano Banana or general format.
The detection is heuristic, not perfect. If the auto-detect picks the wrong source, switch to manual selection — accuracy of the source identification matters because it tells the translator what to strip versus what to keep.
What translation specifically does
Translation reads the source prompt’s intent — subject, lighting, composition, style, mood — and re-emits it in the target model’s native format. Specifically:
Strips source-specific syntax. If the source was Midjourney with --ar 16:9 --s 250, those parameters get translated into descriptive language that the target model understands (or get dropped if the target has no equivalent).
Adapts the structure. Comma-separated SDXL token lists become flowing Flux sentences; Flux paragraphs become structured Gemini components or Midjourney keyword sets.
Preserves the intent. The thing the prompt is trying to depict stays. Lighting, mood, and composition translate; only the format changes.
When to use translator vs rewriter vs other tools
Use the translator when: you don’t know what model a prompt was written for, or you want a quick cross-model port without any other modifications.
Use the rewriter when: you know both source and target models specifically, and want manual control over the rewriting process.
Use the enhancer when: the prompt is already in the right format for the target model — it just needs more precision.
Three edits most translated prompts need
1. Verify the auto-detect was correct. If it picked the wrong source, the translation worked from the wrong assumptions. Look at the “detected source” badge after translation and confirm.
2. Spot-check parameters for the target model. If the target was Midjourney, confirm the version flag matches what you’re running. If the target was SDXL, confirm any weights are in a sensible range (1.0-1.4).
3. Validate length. Translation between models with different sweet spots (Nano Banana ↔ Flux) requires shortening or expanding. The translator does some of this; for substantial length changes, follow up with the shortener or expander.
For prompts produced from images, see the image-to-prompt generator hub. For model-specific prompt generation, see the individual model spokes.