Video to Prompt

Automatically convert any video (including TikTok and YouTube links) into precise, reproducible text prompts.

Core Need: From Link to Prompt

This is the core need for AI creators: paste a link to analyze the video. The industry is working to achieve automatic fetching, analysis, and generation of high-quality prompts, making AI creation faster.

What is Video to Prompt?

This is an advanced AI technology that can 'watch' a video and automatically generate precise text prompts. These prompts can be used with AI video models (like Google Veo, Sora, Pika, Kling, etc.) to reproduce, edit, or create new video content with similar style, scenes, and actions.

Input: Any Video / Video Link
Output: High-Quality Text Prompt

Core Implementation: How Does AI Understand Videos?

1. Fetch & Frame Extraction

Fetch videos from TikTok/YouTube links and split them into key frames (image sequences) and audio tracks.

2. Audio-Visual & Temporal Analysis

Use multimodal models (like Qwen2-VL) to identify frame content, actions, styles, and analyze camera movements. Simultaneously, analyze audio tracks to identify key sounds (like ASMR, dialogue, music styles).

3. LLM Integration & Generation

Input all analysis information (visual, motion, audio, emotion) into a large language model (LLM) to integrate into structured, high-quality final prompts.

Where to Implement? Application Scenarios & Tools

🚀 Video Replication & Style Transfer

Extract styles from popular videos, use the 'video → prompt → new video' workflow to create AI videos with similar styles.

🎓 Prompt Learning & Training

Reverse engineer high-quality prompts from professional videos to improve your prompt writing skills.

📂 Content Indexing & Retrieval

Automatically generate precise semantic tags and descriptions for large video libraries for quick searching.

💡 Creative Inspiration & Storyboarding

Quickly extract visual language and shot structure from videos to help directors and designers conceptualize new shots.

Mainstream Tools & Models

Google Veo Prompt Pika Caption Runway Describe Sora / Kling (内置) LLaVA-Video Gemini 2.5 Pro

Current Challenges & Limitations

  • Video Length Limitations

    Most models struggle to process long videos (e.g., over 2 minutes) in one go, with high analysis costs and easy loss of contextual key information.

  • Semantic Accuracy

    When facing complex, abstract artistic styles or rapidly switching shots, AI may misunderstand subtle aspects of style, emotion, or action.

  • Complex Audio & Language Recognition

    Current analysis mainly focuses on visuals and English. Deep analysis of non-English dialogue, distinguishing background noise from key sound effects (like ASMR vs wind), and understanding music emotions remains challenging.

Future Trends: Beyond Prompts

  • Deep Integration: Deeply integrated with models like Veo and Sora, providing 100% reproducible official prompts.

  • Automatic Storyboarding: Not only generate overall prompts but also automatically output detailed storyboard prompts.

  • Reverse Optimization: Input videos and underperforming prompts, AI automatically optimizes prompts to better match target videos.