# Video to Prompt (videotoprompt.tech)

> The free, edge-decoded AI video reverse prompt engineering platform. Turn any MP4, WebM, YouTube Shorts, or TikTok clip into structured, cinematic prompts tuned for OpenAI Sora, Kling AI, Runway Gen-3, Google Veo, Luma Dream Machine, and Midjourney.

## Overview
- **Service Name**: Video to Prompt
- **Canonical URL**: https://videotoprompt.tech/
- **Category**: Generative AI Creative Tool / Video Prompt Engineering
- **Pricing**: 100% Free daily tier (no account or credit card required); Pro tier available for heavy batch workloads and ComfyUI/API access.
- **Privacy Architecture**: Client-side keyframe extraction via HTML5 Canvas. Zero raw video files are uploaded or permanently stored on servers. Only 4–8 extracted WebP frames are analyzed ephemerally by multimodal vision LLMs.

## Core Capabilities
- **Reverse Prompt Engineering**: Analyzes subject, environment, lighting, lens focal length, color grading, and camera movements (dolly, pan, tracking, zoom).
- **Target Model Formats**:
  - OpenAI Sora (natural descriptive physics and scene cues)
  - Kling AI (photorealistic realism, motion trajectory, lighting)
  - Runway Gen-3 Alpha (motion tags: [FPP, Pan Left, Fast Motion, 35mm])
  - Luma Dream Machine (camera choreography and fluid transitions)
  - Midjourney v6.1 (stylized single-frame recreation with aspect ratio flags)
- **Multi-Scene Breakdown**: Detects timeline shot transitions with time-coded beat descriptions.
- **Negative Prompt Generation**: Automatically generates negative prompt vectors to prevent artifacts, uncanny motion, and limb distortion.

## Performance & Specifications
- Supported Formats: MP4, MOV, WebM, AVI up to 100MB.
- Processing Latency: Under 2.5 seconds on edge infrastructure.
- Vision Model Engine: Google Gemini 2.0 Flash / Multimodal LLMs.

## Key Links & Resources
- Web Application: https://videotoprompt.tech/
- Documentation: https://videotoprompt.tech/docs
- Full LLM Specification: https://videotoprompt.tech/llms-full.txt
- Trending AI Video Prompts Library: https://videotoprompt.tech/prompts
- API Documentation: https://videotoprompt.tech/api/docs