Take any AI image apart,
token by token.
Drop a reference from Flux.1, Midjourney v6 or SDXL. my-snip-box decomposes it into atomic prompt tokens with precise metadata — subject, material, camera, lighting science, down to the micro-hardware.
⌘Vpaste an image anywhere in the app to decompose it
four cute duck characters, claymation texture, facing forward, colorful overhead headphones, split yellow and blue background, vibrant pastel palette
- atomic categories
- 6 atomic categories
- granularity levels
- 3 granularity levels
- local cache
- 100% local cache
Built to decode
- Flux.1
- Midjourney v6
- SDXL
- ComfyUI
- Automatic1111
- Stable Diffusion 3
Try the real decomposition flow, right in your browser.
The web demo mirrors the desktop app's layout: filter a curated gallery by tag, open a reference to see it broken into six atomic categories, click tags into a Prompt Basket, and copy a ready-to-use prompt for FLUX or SDXL. Runs entirely in your session — drop in your own image to try it live.
Open the interactive demo
Precision controls, not a black box.
Three of the things you actually touch every session. Try each one.
Compact tag syntax says the same thing in ~60% fewer tokens.
A verbose description and a compact tag string carry identical control — subject, materials, optics, hardware. Rule-based prompt assembly just drops the connective tissue a model doesn't need, so every generation costs less.
Compact tag syntax says the same thing in ~60% fewer tokens.
A verbose description and a compact tag string carry identical control — subject, materials, optics, hardware. Rule-based prompt assembly just drops the connective tissue a model doesn't need, so every generation costs less.
structured top-handle handbag, travertine plinth, saffiano leather, matte pebbled grain, gold lobster clasp, hand-painted edge coating, three-quarter product angle, 85mm macro f/8, soft key light, gradient rim, controlled specular rolloff, editorial studio photography, muted warm palette
−59% tokens for the same control — currently showing 41% of the verbose cost.
Get 50% Off at Launch — Early Access
정식 데스크톱 앱 출시 시 가장 먼저 다운로드 링크와 얼리버드 50% 할인 코드를 보내드립니다.
평생 라이선스(Pay-once) · 100% 로컬 데이터 보관 · 개인 API 키(BYOK) 연동
One payment. Yours forever.
A perpetual license at regular price — pre-order via Early Access below for 50% off at launch. No recurring subscription, and you bring your own model key — we never mark up your usage.
Pay once, own forever
A perpetual license. Every install you make is yours to keep.
Zero recurring subscription
No monthly fee, no seat renewals, no feature paywall creep.
Bring Your Own Key — zero mark-up
Your OpenAI / Claude / Gemini key is billed by them, at their price. We add nothing.
Personal
One-timeFor individual creators reverse-engineering their own references.
Pay once · no subscription
Pre-order at 50% off- Atomic decomposition — subject, material, camera, lighting, hardware, style
- All 3 granularity levels (Simple / Detailed / Ultra-Detailed)
- Compact, rule-based prompt assembly + one-click copy
- Multilingual Token Bridge (KO, JA, and more) with local translation cache
- Local-first SQLite cache — offline, exportable, yours to purge
- BYOK: OpenAI, Claude, Gemini — or a fully local Ollama model
- 1.x feature updates included
- Commercial / client work license
- Batch folder decomposition
- Private & self-hosted model endpoints
Pro
One-timeFor freelancers and studios shipping client work at volume.
Pay once · no subscription
Pre-order at 50% off- Everything in Personal
- Commercial license for client & studio work
- Batch decomposition — point at a folder, export CSV / JSON
- Private & self-hosted model endpoints (Azure, vLLM, custom base URL)
- Bulk multilingual export for localization pipelines
- Priority updates + direct roadmap input
14-day, no-questions-asked refund.
Full comparison
| Feature | Personal | Pro |
|---|---|---|
| Atomic token decomposition | ||
| Granularity levels | 3 | 3 |
| Compact, rule-based tag format | ||
| Multilingual Token Bridge | ||
| Local SQLite cache | ||
| BYOK cloud models | OpenAI · Claude · Gemini | OpenAI · Claude · Gemini |
| Local Ollama models | ||
| Commercial license | ||
| Batch folder decomposition | ||
| Private / self-hosted endpoints | ||
| Bulk multilingual export | ||
| Update channel | 1.x updates | Priority |
Runs on your machine, your keys, your models.
A lightweight Tauri desktop app. Bring a cloud key or point it at a local model — nothing leaves your device except the model calls you configure.
Platforms
01Tauri-based — native webview, no bundled Chromium.
- macOS
- 12 Monterey or later · Apple Silicon + Intel
- Windows
- 10 / 11 · x64
- Installer
- ≈ 8 MB · no runtime to install
- Idle memory
- ≈ 120 MB
Models — cloud (BYOK)
02Your key, your bill, zero mark-up.
- OpenAI
- GPT-4o / o-series vision
- Anthropic
- Claude (vision-capable models)
- Gemini 1.5 / 2.x
- Custom base URL
- Azure · vLLM · proxies (Pro)
Models — local
03Fully offline decomposition path.
- Runtime
- Ollama (local endpoint)
- Recommended
- Vision models — qwen2-vl, llava, moondream
- Network
- No external calls when local model is selected
- Fallback
- Auto-switch to cloud key if configured
Storage & privacy
04Everything stays on your disk unless you export it.
- Cache
- Local SQLite · user-chosen location
- Export
- JSON · CSV · packed-string clipboard
- API keys
- OS keychain (Keychain / Credential Manager)
- Telemetry
- Off by default · no image ever uploaded
Questions, answered.
Platform support, what stays local, how licensing and keys work.
Still stuck? Reach us on Discord.
my-snip-box is a desktop app for Windows 10/11 (x64) and macOS 12+ (Apple Silicon and Intel). It's built on Tauri, so the installer is small and it stays light on memory. There is no web, mobile, or Linux build yet.