Video Breakdown is an online video-to-prompt tool for AI video creators. It solves a simple problem: when users find or own a reference video and want to recreate its subject, setting, camera movement, lighting, rhythm, style, and mood, manually pausing, screenshotting, rewatching, and writing notes is slow and often misses important details. Video Breakdown turns the video into a structured prompt pack that users can copy into video generation tools such as Veo, Runway, Kling, Sora, and Seedance.
The free version works anonymously. After a user uploads a short clip, the system reads video metadata and creates an analysis job. Videos up to 20 seconds use direct video analysis so the model can inspect the full temporal sequence and audio cues. Videos from 20 seconds to 2 minutes use timestamped storyboard keyframes to produce a lightweight shot breakdown at lower cost. The generated result includes a video description, concise summary, scene-by-scene breakdown, universal text-to-video prompt, negative prompt, recommended settings, and model-ready platform prompts.
Video Breakdown is useful for short-form creators, marketing teams, e-commerce teams, product video makers, creative agencies, filmmakers, editors, educators, researchers, and anyone who needs to turn a reference video into searchable, editable text structure. The Advanced Video Breakdown direction is a logged-in full breakdown workflow for longer videos, with denser shot records, saved history, higher processing priority, and JSON, Markdown, or CSV exports.
A startup from Sheridan, the United States.
Video to Prompt
Upload a short reference video and convert it into a reusable AI video prompt pack.
Free Anonymous Upload
Use the public tool without creating an account, with a daily free quota.
Shot Breakdown
Get scene-by-scene notes for subject, action, setting, camera, lighting, style, mood, and pacing.
Universal Prompt
Generate a copy-ready text-to-video prompt that can be adapted across AI video models.
Platform Prompts
Create model-ready prompt versions for Veo, Runway, Kling, Sora, and Seedance.
A person should choose Video Breakdown because it is simple, fast, and built specifically for AI video creators. The free tool works without login, supports short reference videos up to 2 minutes, and produces prompts that are ready to edit or copy into tools like Veo, Runway, Kling, Sora, and Seedance. It helps creators avoid the slow process of pausing videos, taking screenshots, rewriting visual notes, and manually adapting those notes for different AI video models.
Video Breakdown is focused on one practical creator workflow: turning a real reference video into a structured, copy-ready AI video prompt pack. Instead of only summarizing a clip, it breaks down the subject, action, scene, camera movement, lighting, style, mood, pacing, negative prompt, recommended settings, and platform-ready prompt versions. The free workflow also adapts its analysis method by video length, using direct video analysis for very short clips and storyboard keyframes for longer short clips.
The primary audience is AI video creators and teams who use reference videos as creative input. This includes short-form creators, social media marketers, creative agencies, e-commerce teams, product marketers, filmmakers, editors, educators, researchers, and anyone who needs to turn video examples into reusable prompts, creative briefs, or structured visual notes.
Video Breakdown started from a common problem in AI video creation: reference videos are useful, but hard to reuse. Creators often have to pause a clip, take screenshots, describe the scene, remember the camera movement, and rewrite everything for a specific model. Video Breakdown was built to make that first step faster. Users upload a reference clip, receive a structured breakdown, copy the prompt version they need, and spend more time refining the creative direction instead of manually rebuilding the video description.
Video Breakdown is built with a TypeScript monorepo using pnpm and Turborepo. The web experience uses Next.js, React, next-intl, Tailwind CSS, and shared UI packages. The backend workflow uses Hono, worker services, video-processing modules, database and storage packages, Google Cloud Tasks for job orchestration, and AI SDK/OpenAI integrations for prompt generation and video analysis.
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