<a href="./README.md">English</a> · <a href="./README.zh.md">简体中文</a> <h1 align="center"> ⚡️IMGPrompt </h1> <a href="https://github.com/rockbenben/img-prompt/releases"> <img alt="GitHub Release" src="https://img.shields.io/github/v/release/rockbenben/img-prompt?style=flat-square&logo=github"> </a> <a href="https://github.com/rockbenben/img-prompt/blob/main/LICENSE"> <img alt="License" src="https://img.shields.io/github/license/rockbenben/img-prompt?style=flat-square"> </a> <a href="https://prompt.newzone.top/app/en">English</a> | <a href="https://prompt.newzone.top/app/zh">中文</a> | <a href="https://prompt.newzone.top/app/zh-hant">繁体中文</a> | <a href="https://prompt.newzone.top/app/pt">Português</a> | <a href="https://prompt.newzone.top/app/it">Italiano</a> | <a href="https://prompt.newzone.top/app/de">Deutsch</a> | <a href="https://prompt.newzone.top/app/ru">Русский</a> | <a href="https://prompt.newzone.top/app/es">Español</a> | <a href="https://prompt.newzone.top/app/fr">Français</a> | <a href="https://prompt.newzone.top/app/ja">日本語</a> | <a href="https://prompt.newzone.top/app/ko">한국어</a> | <a href="https://prompt.newzone.top/app/hi">हिन्दी</a> | <a href="https://prompt.newzone.top/app/ar">العربية</a> | <a href="https://prompt.newzone.top/app/bn">বাংলা</a> | <a href="https://prompt.newzone.top/app/id">Bahasa Indonesia</a> | <a href="https://prompt.newzone.top/app/tr">Türkçe</a> | <a href="https://prompt.newzone.top/app/vi">Tiếng Việt</a> | <a href="https://prompt.newzone.top/app/th">ภาษาไทย</a> Make AI Art Accessible in Your Native Language <a href="https://www.producthunt.com/posts/imgprompt?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-imgprompt" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=703738&theme=light" alt="IMGPrompt - Boost your creativity with smart AI prompt editing | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a> Built with <a href="https://nextjs.org" target="_blank"> <img alt="Next.js" src="https://img.shields.io/badge/Next.js%2016-black?style=flat-square&logo=next.js&logoColor=white" /> </a> <a href="https://ant.design" target="_blank"> <img alt="Ant Design" src="https://img.shields.io/badge/Ant%20Design%206-0170FE?style=flat-square&logo=ant-design&logoColor=white" /> </a> <a href="https://tailwindcss.com" target="_blank"> <img alt="Tailwind CSS" src="https://img.shields.io/badge/Tailwind%20CSS%204-38B2AC?style=flat-square&logo=tailwind-css&logoColor=white" /> </a> <a href="https://react.dev" target="_blank"> <img alt="React" src="https://img.shields.io/badge/React%2019-20232A?style=flat-square&logo=react&logoColor=61DAFB" /> </a> <a href="https://www.typescriptlang.org" target="_blank"> <img alt="TypeScript" src="https://img.shields.io/badge/TypeScript-007ACC?style=flat-square&logo=typescript&logoColor=white" /> </a>

Introduction

IMGPrompt is an AI image/video prompt editor for non-native English speakers. It turns native-language clicks into clean English prompts ready for GPT-Image-2, Nano Banana, Midjourney, FLUX, Seedance, Veo, and Kling (also compatible with Stable Diffusion and DALL·E syntax).

The core power of IMGPrompt lies in its 5000+ curated prompt library. Forget wrestling with English vocabulary — browse and click keywords in your own language (Chinese, Hindi, Spanish, and 15 more), and the app assembles the precise English prompt AI models actually understand.

Experience IMGPrompt now - Make AI Art Accessible

Why IMGPrompt?

Language is no barrier. Pick tags in your native language, get English output.
5000+ tags, curated. Styles, artists, lighting, composition, camera angles — organized, not dumped.
Visual discovery. Hover any tag to see a preview image; click the preview to zoom in a full lightbox (rotate / download included).
Shareable selections. The filter you're viewing lives in the URL — send the link, land on the same view.
Built for GPT-Image-2 and beyond. One workflow covers image and video models alike — GPT-Image-2, Nano Banana, Midjourney, FLUX, Seedance, Veo, Kling.
Desktop or browser. Use the web app or download the native client for Windows, macOS (Intel + Apple Silicon), and Linux.

How It Works

A three-step flow, numbered right in the UI so you always know where you are:

Pick an Object (e.g., Character, Scene, Style) — section ①.
Pick an Attribute under that object (e.g., Lighting, Pose, Camera) — section ②.
Click the tags you want — section ③. Your selection builds the English prompt in the side panel. One-click copy, paste into your AI tool.

The URL updates as you browse (?object=Character&attribute=Lighting), so bookmarks and shared links take collaborators straight to the exact filter you're using.

Features

🏆 5000+ Native-to-English Prompt Library

Thousands of prompt keywords, organized by object and attribute. Verify meaning in your language, ship the precise English term models recognize. Data lives in open JSON at src/app/data/prompt/prompt-<locale>.json—fork it, extend it, it's yours.

Smart Recommendation Demo

🖼️ Hover to Preview, Click to Zoom

Hover any tag → an example image shows up in the tooltip. Click the preview → a full lightbox opens with zoom, rotate, and download controls. Closing it keeps your browsing state intact. WYSIWYG prompt picking — especially useful when comparing GPT-Image-2 styles where the label alone tells you nothing.

🎨 Multicolor or Monochrome Tag Mode

Toggle between two visual modes from the tag area:

Multicolor — 10-color antd palette cycled across tags, so large categories read as distinct groups at a glance.
Monochrome — calm, uniform tag styling. Same data, less visual noise.

Your choice persists across sessions and syncs across browser tabs.

🧩 Smart Prompt Output Panel

The right-side output panel is the working surface:

Inline template buttons — one click to append "Portrait Lighting" or "High Quality" boilerplate. Copy a Negative-prompt template in one tap.
Auto-translate while you type — debounced 1.5s. Type in any language, see the English equivalent surfaced below without clicking a button.
Tag suggestions — as you type, exact-match and fuzzy-match tags appear so you can swap free text for a curated tag.
Deduplication + random color — cleans up duplicated tokens, swaps a random color token for quick creative breaks.
One-click copy and clear — side-by-side for speed.

🔗 Shareable URL State

Your currently active Object and Attribute filter lives in the URL. Bookmark the view you use daily. Send a link to a teammate and they land on the same filter. No accounts, no backend.

🌓 Light, Dark, and System Themes

Auto-follows your OS theme (via next-themes), or override it manually. All tag colors, previews, and borders adapt.

🖥️ Cross-Platform Desktop Client

Prefer a native app? Windows, macOS, and Linux builds ship on the Releases page.

🌍 18 Languages, Everywhere

Arabic, Bengali, Chinese (Simplified + Traditional), English, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Thai, Turkish, Vietnamese. Both the interface and the prompt database translate. RTL languages (Arabic) render right-to-left automatically.

A translation utility is also built in for free-form text, backed by Google / Youdao / MyMemory.

Tech Stack

Next.js 16 with the App Router and React Compiler
React 19.2 + TypeScript 5
Ant Design 6 (cssVar mode) + Tailwind CSS 4
next-intl 4.9 for i18n and static generation per locale
next-themes for dark mode
Default locale: zh. Root / redirects to /zh.

Getting Started

For detailed installation, local development, and deployment instructions (including Docker support), see the deployment guide.

Quick start:

bash
npm install
npm run dev          # http://localhost:3000
npm run build        # production build
npm run build:lang   # per-locale static build (scripts/buildWithLang.js)
npm run lint

Node >=20.9.0 required.

Star History

Credits

Prompt data is aggregated and curated from several open sources — huge thanks to:

EvoLinkAI/awesome-gpt-image-2-prompts — GPT-Image-2 prompt examples, licensed under CC BY 4.0. Entries are localized into 18 languages; per-entry author credits are preserved in the data file.
Physton/sd-webui-prompt-all-in-one — baseline tag taxonomy (AGPL-3.0).
promptoMANIA — structured keyword inspiration.

Contributing

Pull requests are welcome. For major changes, open an issue first to discuss direction. Prompt data contributions (adding or refining tags for a language) are especially appreciated—the files are plain JSON, no tooling required.