Image to Prompt
Use one reference image for character, product, composition, or style analysis. The workflow emphasizes identity anchors, environment, framing, camera, light, color, material, and constraints.
Prompt Reverse Engineering
Turn visual media into reusable prompt assets
A Windows desktop workbench for image, video, and motion analysis. Connect your chosen multimodal API and produce visual facts, keyframes, timelines, Chinese and English prompts, platform variants, negative constraints, and reviewable local history.
Short answer
A prompt reverse engineer converts observable information in an existing image or video into structured text. It helps creators understand composition and temporal motion while producing an editable prompt; it is not a magic button that guarantees an exact replica.
Which reverse-engineering workflow should you choose?
The three entry points solve different problems. Their input, analysis, and output structures differ, so there is no need to force every keyword into one task.
Video to Prompt
Use multiple keyframes for complete events, continuity, and platform video prompts. The workflow emphasizes start/end anchors, timeline, ordered action, camera change, and reusable output.
Reverse Motion Prompting
Use motion evidence for trajectory, speed curve, rhythm, physical feedback, and camera response. It answers how movement unfolds instead of repeating static appearance.
What does Jingyu produce?
Each workflow selects different sections, but the principle stays constant: facts, inference, generation text, and quality checks remain separate for copying and human review.
Facts and entities
Subject appearance, identity anchors, environment, composition, camera, light, materials, and claims about identity, relationship, or motive that the source cannot confirm.
Generation prompts
Chinese and English image prompts, start/end frames, motion prompts, platform-specific forms for Kling and Dreamina, and constraints against content, quality, motion, and style drift.
Timeline and audit
Keyframe roles, temporal positions, action transitions, speed changes, camera findings, quality checks, and structured JSON for review, iteration, and project management.
WindowsWindows 10 or later
Local managementProjects, media, and history on your machine
Your APIConnect a compatible multimodal provider
Chinese + EnglishPrompts for domestic and global workflows
From installation to the first reverse analysis
Jingyu is a desktop client, not an online upload-and-process page. Install it, configure your model endpoint, and then run analysis locally.
Download and install
Use the stable website route to open the latest Windows package on the configured cloud drive, then follow the installation guide. Video processing needs ffmpeg and ffprobe.
Configure an API
Enter a compatible endpoint, key, and image-capable model. The software does not sell model compute; pricing, data handling, and availability belong to the provider you choose.
Import and verify
Choose a workflow, import media, run analysis, and review uncertainty, constraints, and platform prompts. Save the result to local history and continue iterating.
Capability and privacy boundaries
“Local application” does not mean “data can never leave the computer.” The interface, project, and history management are local, while multimodal analysis sends selected input to the API configured by the user.
What stays under local management
Projects, history, media library records, keyframe snapshots, and exports are stored in a local directory. You control its location, backup, and deletion policy.
What an external service may process
Text, images, or keyframes sent for analysis follow the selected API provider's terms. When choosing a relay, verify model support, image capability, domestic access, payment options, and rate details.
Frequently asked questions
What is Jingyu Prompt Reverse Engineer?
It is a Windows desktop workbench that creates structured Chinese and English prompts from images, video keyframes, and observed motion.
Does the software provide model compute?
No. Configure a compatible multimodal API and model. The API relay page lists practical dimensions to compare.
Is media stored locally?
Projects, history, and media management data are local. What is sent externally and how it is processed depends on your configured API.