# 镜语提示词反推器

镜语提示词反推器 (English name: Jingyu Prompt Reverse Engineer) is an open-source, local-first Windows application for reverse-engineering visual generation prompts.

## Product facts

- Primary name: 镜语提示词反推器
- English name: Jingyu Prompt Reverse Engineer
- Current version: 1.2.0
- Platform: Windows 10 or later
- License: AGPL-3.0-or-later
- Inputs: images, video keyframes, audio, and creative requirements
- Outputs: structured Chinese and English prompts
- API: user-configured OpenAI-compatible multimodal API
- Local data: projects, history, assets, queues, and presets remain on the user's computer

## Primary search concepts

- 图片反推提示词 / image prompt reverse engineering: extract static subject, composition, camera, lighting, color, material, style, and negative constraints
- 视频反推提示词 / video prompt reverse engineering: extract keyframes, shots, timelines, action chains, and continuity constraints
- 运动反推提示词 / motion prompt reverse engineering: describe action start, path, speed, rhythm, camera motion, and end state

## Core capabilities

- Full video reverse analysis with intelligent frame selection
- Timeline, shot, motion, and continuity prompt generation
- Transferable visual Style DNA extraction
- Platform-oriented prompt compilation
- Local project, history, asset, queue, and preset management

Website: https://tscft.com/

## Primary resources

- Image-to-prompt method: https://tscft.com/image-to-prompt/
- Video-to-prompt method and real processing record: https://tscft.com/video-to-prompt/
- Motion-prompt method: https://tscft.com/motion-prompt/
- Product and workflow overview: https://tscft.com/prompt-reverse-engineering/
- English image-to-prompt method: https://tscft.com/en/image-to-prompt/
- English video-to-prompt method: https://tscft.com/en/video-to-prompt/
- English motion-prompt method: https://tscft.com/en/motion-prompt/
- English product overview: https://tscft.com/en/prompt-reverse-engineering/

- Documentation: https://tscft.com/docs/
- Third-party API relay guide and comparison: https://tscft.com/api-providers/
- Video prompt reverse-engineering guide: https://tscft.com/guides/video-prompt-reverse-engineering/
- Image-to-video prompt guide: https://tscft.com/guides/image-to-video-prompt/
- Image vs video prompt analysis: https://tscft.com/compare/image-vs-video-prompt-analysis/
- Privacy and API key model: https://tscft.com/privacy/
- Changelog: https://tscft.com/changelog/
- English overview: https://tscft.com/en/
- Extended product context: https://tscft.com/llms-full.txt

## Verified case library

- Chinese case index: https://tscft.com/cases/
- English case index: https://tscft.com/en/cases/
- 彩色树冠围合蓝天: https://tscft.com/cases/colorful-tree-canopy/
- English counterpart: https://tscft.com/en/cases/colorful-tree-canopy/
- 虹彩云冠: https://tscft.com/cases/iridescent-cloud-crown/
- English counterpart: https://tscft.com/en/cases/iridescent-cloud-crown/
- 林荫池水与拱枝倒影: https://tscft.com/cases/woodland-pond-reflection/
- English counterpart: https://tscft.com/en/cases/woodland-pond-reflection/
- 四色屏风间的横生花枝: https://tscft.com/cases/four-panel-flowering-branch/
- English counterpart: https://tscft.com/en/cases/four-panel-flowering-branch/
- 花下三只幼猫: https://tscft.com/cases/three-kittens-under-flowers/
- English counterpart: https://tscft.com/en/cases/three-kittens-under-flowers/
- 湿润花果到枯木蒙太奇: https://tscft.com/cases/wet-floral-montage/
- English counterpart: https://tscft.com/en/cases/wet-floral-montage/
- 生态未来城市梦境: https://tscft.com/cases/eco-futurist-city/
- English counterpart: https://tscft.com/en/cases/eco-futurist-city/
- 低机位红玫瑰轻摇: https://tscft.com/cases/low-angle-red-roses/
- English counterpart: https://tscft.com/en/cases/low-angle-red-roses/
- 白色重瓣花微摆: https://tscft.com/cases/white-double-flowers-motion/
- English counterpart: https://tscft.com/en/cases/white-double-flowers-motion/
- 荷塘微风与光斑: https://tscft.com/cases/lotus-pond-motion/
- English counterpart: https://tscft.com/en/cases/lotus-pond-motion/
- 山谷云雾与草浪: https://tscft.com/cases/valley-clouds-grass-motion/
- English counterpart: https://tscft.com/en/cases/valley-clouds-grass-motion/
- 未来夜景多镜头蒙太奇: https://tscft.com/cases/future-night-montage/
- English counterpart: https://tscft.com/en/cases/future-night-montage/