Video to Prompt
Video to Prompt:
Read the Clip.
Own the Prompt.
Turn a clip you love into a reusable five-slot prompt: read it across subject, action, setting, camera, and style, then rerun the look on Wan 3.0, MiniMax H3, or Seedance. A deliberate reading pass, not a magic upload button — the template is yours to keep. Pay per clip in credits, no subscription.
Model Options
Choose the workflow that fits your scene
Start with a prompt, add references when needed, and pick the generation path that matches the output.
The reverse pass: read the clip, own the prompt
Start from the clip you want to match; the page's five-slot reading method turns what is actually on screen into a written prompt you own. Read it three times, fill subject, action, setting, camera, and style in that order, and the prompt assembles from what survived the render instead of from a guess. The finished template pastes straight into any Moosky generate lane.
Skip the words: feed the clip itself
For anything where feel matters more than words, the reference-to-video composers take the actual clip and carry what a text prompt cannot. Wan 3.0 R2V accepts up to 10 images, 5 videos, and 5 standalone audio references in one run (reference video under 15 seconds total, and input plus output share a 30-second budget); MiniMax H3 Ref2V takes 9 images, 3 videos, and 3 audio on a 12-file budget. Attach the clip as Video 1 and prompt only the delta.
Pressure-test the prompt before you pay
Once the clip is read, the forward craft still matters: a prompt that describes a picture instead of a movement, or a mood instead of a camera, renders to mush. The sibling prompt guide carries the copy-paste recipe library and the camera vocabulary the flagships honor, so the words you write after the read land on the first pass.
What rerunning a clip costs
Everything bills in credits (100 per $1) from output length and resolution, with no subscription and failed generations refunded. A MiniMax H3 draft runs about 10 credits per second at 768P and about 18 at 2K; Wan 3.0 R2V covers 480P to 1080P across 2 to 30 seconds. The composer quotes the exact total before anything renders.
Why use it on Moosky AI
Powerful tools. Seamless experience.
Read the clip like an editor
Play it three times with a notebook open: content, then camera, then texture. Filling five concrete slots beats typing 'cinematic' and hoping the random draw happens to resemble what you saw.
Camera is the slot everyone skips
Freeze frames at the start and end of the clip. Background parallax means the camera traveled; a rock-steady frame with moving subjects means it did not. Name that verb and the clip stops reading as AI.
One style cluster, not a word soup
Lighting, palette, and texture belong together: 'sodium-vapor night, teal shadows, 35mm grain' is a cluster. Five unrelated style words is a recipe for mush, and it colors everything written before it.
A written pass is reusable and inspectable
When a take goes wrong, a paragraph of vibes gives you nothing to change. A structured prompt tells you which clause failed, camera, motion, or style, and fixes it for the cost of one regeneration.
Or skip the words entirely
When the feel outruns your vocabulary, the reference-to-video composers take the clip itself. Attach it as Video 1, prompt only the new subject or place, and the reference carries what text never could.
Cost before you commit
Every generate lane prices the run first, in credits on your screen, not on a bill. Wondering what rerunning a 1080p clip costs? You see it on the run button and nothing renders until you approve it.
How It Works
Three simple steps to finished output
Open the clip you want to match
Pull up the reference clip and sample a few evenly spaced frames. There is no uploader to fool here — the seconds you spend reading the clip are what separate a reverse prompt from a lucky guess.
Fill the five slots, in order
Write subject and action first (they earn the model's attention), then setting, then the camera verb, then one style cluster. State 'static lock-off' out loud or the model invents drift of its own.
Rerun the look and refine cheaply
Paste the template into a generate lane, or skip straight to feeding the clip as a reference. Draft at a cheap resolution, compare to the source, then escalate the take that reads closest to the hero file.
Stop describing the shot you already have
You watched a clip and knew what you wanted: that dolly-in, that wet-street glow. Open a text-to-video composer and the words evaporate, because a text model cannot ask what you meant. The fix is not better adjectives. It is a reading pass: treat the clip like a document, fill five slots, and the prompt assembles itself from what landed on screen.
The honest version first: a rendered file does not store the prompt that made it, not in metadata, not in provenance. Any 'Extract Prompt' button is not recovering an original, it is generating a reconstruction that describes the clip precisely enough to recreate its subject, camera, light, and motion. A good reconstruction can beat the original, because it was written after seeing what survived the render.
That is why the reverse prompt earns its keep here: one deliberate pass, reused forever. When the feel outruns the words, skip extracting and feed the clip to the reference-to-video composers instead. This page is the tool lane for that loop; the how-to stays on the guides it links.
Credit-based
Simple, honest pricing
Reverse the prompt for free; pay only to render. Clips bill in credits (100 per $1) from output length and resolution, with no subscription and failed generations refunded. H3 drafts run about 10 credits per second at 768P and about 18 at 2K, and reference-video seconds bill at your chosen output resolution. The composer quotes the exact total first.
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Frequently Asked Questions
What is a video-to-prompt or reverse prompt tool?
It is the reverse of normal prompting: instead of writing words and rendering a clip, you start from a clip you already like and work back to a prompt that would rebuild it. On Moosky that is a reading pass, not a magic button: you sample frames, fill five slots (subject, action, setting, camera, style), and get a reusable text template that pastes into any generate lane or attaches as a reference.
Can it recover the exact original prompt of an AI clip?
No, and any tool that claims to is lying. A rendered video does not store the prompt that made it, not in metadata and not in provenance. Every honest extractor produces a reconstruction: a new prompt written from what is actually on screen. That can be better than the original, because it was authored after seeing what survived the render, but you are reverse-engineering a description, not pulling a hidden string out of the file.
What are the five slots a usable prompt needs?
Subject (who or what is in frame, in concrete nouns), Action (the thing that changes over the clip, stated as motion), Setting (place and time, one clause), Camera (shot size, angle, and movement, named as a verb), and Style (one coherent lighting and palette cluster). Order matters: the model spends most of its attention on the front of the sentence, so subject and action lead and style comes last.
Do I have to write the prompt myself, or can Moosky watch the clip for me?
Both, depending on what you are after. A vision model can caption frames, but a flowery description does not drive a video model, so the writing half stays yours either way. The higher-fidelity move is to skip the words: attach the clip itself as Video 1 in the Wan 3.0 R2V or MiniMax H3 reference-to-video composer and prompt only what changes. The reference carries the look that no adjective reaches.
Which model should I rerun the reversed prompt on?
For heavy kinetic motion and long single takes, Wan 3.0 R2V runs 480P to 1080P across 2 to 30 seconds with a 10-image, 5-video, 5-audio reference kit. For a character who has to speak, MiniMax H3 Ref2V adds lip-synced stereo dialogue on a 9/3/3, 12-file kit at 768P or 2K. Seedance 2.5 is the fidelity pick when the shot has to land exactly. One credit balance runs any of them, so the reversed template is portable across engines.
How much does it cost to reverse a clip and rerun it?
The reading pass is free; you only pay to render. Clips bill in credits (100 per $1) from output length and resolution with no subscription: a MiniMax H3 draft is about 10 credits per second at 768P and about 18 at 2K, and every second of a reference video bills at the output resolution you pick. The composer quotes the exact total before anything runs, and failed generations refund automatically.
What makes a reference clip worth reversing?
One continuous shot of the exact movement at the speed you want, trimmed to the move itself. Dead frames dilute both a written reconstruction and a transferred reference, and reference-video seconds are billed as part of the run. A clean 3 to 10 second beat is usually enough; a fast-cut montage will lie to any frame sampler, so check its shot list against the real cuts.
Can I save a reversed prompt and reuse it?
Yes, and that is the point. A structured prompt is reusable and inspectable in a way a one-off generation is not. Once you have the five-slot template for a look, you can swap the subject, the setting, or the whole style cluster and keep the parts that worked, paying only for the seconds you re-render. Failed takes cost credits, not a rewritten paragraph.
How is this page different from the video-to-prompt blog guides?
This page is the tool lane: it sells the reverse-prompt loop and routes you into the generate lanes so you can run it now. The sibling guides teach the craft at length, the reading pass and the forward five-slot formula and the extractor round-up. Read the guide when you want to learn the method; use this page when you just want the clip turned into a prompt you can rerun.