Motion before adjectives
Separates what the subject does from how the camera moves, then preserves timing across shots.
Video to Seedance Prompt
Video to Seedance Prompt Generator for Reference Videos
This video to Seedance prompt generator extracts the shots that matter and turns them into a Seedance-native production brief—not a generic video description.
Chronological shot analysisSeedance-native prompt structureOne-click generation workflow
Upload Reference, Reverse Prompt
Images, videos, and links all work. Upload once, then AI decodes subject, style, shots, and negatives.
Drop an image or video. See the prompt behind it.Supports JPG, PNG, WebP, MP4, MOV, and direct media links.
JPGPNGWebPMP4MOVURL
ImageVideoAuto detect
Zero setup
Workflow
How the video to Seedance prompt workflow works
The tool turns visible evidence into a structured prompt while keeping subject movement, camera movement, continuity and pacing separate.
- 1
Upload your reference
Choose an MP4 or MOV you own or are allowed to analyze. Frame extraction happens in your browser.
- 2
Select key-frame depth
Choose 3, 6, or 12 selected frames for quick, standard, or fine shot and motion analysis.
- 3
Review the Seedance brief
Get shot order, generation mode, camera direction, stability constraints and audio timing.
- 4
Continue in the generator
Send the prompt and first reference frame into the SeeVido workspace without retyping.
Seedance native
A video to Seedance prompt, not a generic summary
General video-to-prompt tools summarize a clip. This workflow writes for Seedance text-to-video, image-to-video and multimodal reference generation.
Reference-aware prompting
Recommends text, image or multimodal generation and uses @Image1 / @Video1 when a reference should carry identity or motion.
Production constraints
Adds positive continuity, geometry, identity and label-stability instructions instead of relying on a generic negative prompt.
Reverse-engineering guide
What a useful video to prompt analysis should preserve
A reference clip contains more than a subject and a visual style. A dependable reconstruction identifies what is actually visible, maps how the shot changes over time, and then converts those observations into directions a video model can execute.
Prompt anatomy
How observations become an executable Seedance prompt
The goal is not to copy a finished video word for word. It is to rebuild its visual logic with a new subject and authorized assets. A practical prompt usually moves through four layers in order.
01Start with evidence, not an invented story
Record the subject, environment, lighting, composition and visible action in each selected frame. Do not infer an unseen beginning or ending. This keeps the final prompt grounded in the reference while leaving room to replace the person, product or setting with your own material.
02Separate subject motion from camera motion
A person turning their head is subject motion; the frame moving closer is a camera push-in. Writing them as separate instructions gives the model a clearer sequence and reduces accidental zooms, drifting backgrounds and motion that feels disconnected from the performer.
03Describe change along a timeline
Strong prompts explain the opening state, the transition and the final state. Include when a reveal, cut, pan or speed change happens, then state what must remain continuous across the transition, such as face identity, wardrobe, product shape, screen layout or direction of travel.
04Choose the generation mode for the job
Text-to-video is useful when composition can vary. Image-to-video is better when the first frame or product identity matters. Multimodal reference mode is appropriate when several images or a motion reference must work together. The analysis recommends a mode instead of forcing every clip into the same template.
05Opening frame
Define the subject, location, framing, lens feel, lighting and the exact visual state at the start. If an uploaded image controls identity or layout, assign its role clearly as @Image1.
06Action and camera path
State what the subject does first, then specify the camera direction, speed and distance. Keep movements chronological so the model does not attempt every action at the same moment.
07Continuity constraints
Name the elements that must remain stable: facial features, body proportions, clothing, packaging geometry, logo placement, text alignment, background structure and the spatial relationship between objects.
08Ending and sound
Describe the final composition and how motion settles. Add dialogue, ambience, effects or music cues only when they support the visible rhythm; a visual reference cannot recover an original voice or copyrighted soundtrack.
Keep creating
Ready to generate more Seedance videos?
Open the creation plans only when you need them. Your prompt and current page stay in place.
Video to Seedance prompt questions
What is a video to Seedance prompt generator?
It analyzes selected frames from a reference video in chronological order and writes a prompt designed for Seedance video generation, including subject motion, camera motion, shot structure, pacing and stability constraints.
Does it upload my full video to the AI model?
No. The browser extracts 3, 6, or 12 key frames, depending on the selected analysis depth. Only those selected images are uploaded for visual analysis; the full video is not sent to the prompt-analysis model.
Can I use the result for image-to-video?
Yes. The analysis recommends text-to-video, image-to-video or multimodal reference mode, and the result can be opened directly in the SeeVido workspace.
Can it copy another creator’s video exactly?
It is designed to study shot structure and rebuild a workflow with your own subject and assets. Only analyze media you own or are authorized to use.
How many credits does analysis use?
Frame extraction is free. AI reading is calculated from the selected key frames and your account rate, with the exact credit cost shown before submission. Failed provider analysis is refunded automatically.