Try PromptClip
Open source repo for AI-driven video editing
Process

Download PromptClip
Get your API key
Get your API key from the VideoDB console (Free for first 50 uploads, no credit card required)
Set up your environment
- Add your
VIDEO_DB_API_KEYto the.envfile - Include your preferred LLM API key (
OPENAI_API_KEYorANTHROPIC_KEY) in.env
Explore notebooks
Launch the Jupyter notebooks to start experimenting:
- Create clips using only spoken content: PromptClip Spoken Notebook
- Create clips by analysing visual content: PromptClip Visual Notebook
- Using combined audio-visual analysis: PromptClip Multimodal Notebook
PromptClip in Action
1. Spoken Content Analysis
Prompt: Find every moment where a deal was offered
Source: Shark Tank
Prompt: Show me moments in the video where the host discusses or reveals the pricing of the gadgets.
Source: Useful Gadgets
2. Visual/Scene Analysis
Prompt: Find the moment where Mr. Bean is attempting to cheat by peeking at the answer sheet of the man beside him3. Using both Visual and Spoken
Prompt: Find scenes explaining cricket rules using infographicsWhy PromptClip Will Transform Your Work
Efficiency
Reduce hours of manual video searching to mere seconds.
Creativity
Generate fresh perspectives and ideas from your existing content.
Precision
Extract exactly what you need, not just approximate matches.
Flexibility
Works with various video types, topics, and languages.
Watch PromptClip in Action
Here you can check more PromptClip examples Prompt: “Find details about every sponsor”
Prompt: “Find sentences where anxiety is discussed”
Prompt: “How to control sugar cravings”
The Magic Behind PromptClip: VideoDB’s Indexing Methods
PromptClip leverages VideoDB’s advanced indexing techniques and Large Language Models (LLMs) to analyze and manipulate video content with unmatched power.Spoken Word Indexing
Spoken Word Indexing
- Process: VideoDB transcribes the audio content and creates a searchable index of spoken words.
- Implementation: Uses advanced speech recognition algorithms to generate accurate transcripts.
Visual/Scene Indexing
Visual/Scene Indexing
- Process: Analyzes video frames to identify objects, actions, and scene compositions.
- Implementation: Employs sophisticated scene extraction algorithms and vision models for comprehensive visual understanding.
- Customization: Allows for different extraction algorithms and custom prompts for scene description. Find detailed documentation in our Scene Indexing Guide.
Join the VideoDB Community
Your ideas drive PromptClip’s evolution. Get involved:GitHub
Report issues, suggest features, or contribute code via pull requests
Discord
Share your innovative use cases and connect with the community
For more information and support, refer to the VideoDB documentation