Interactive video analysis dashboard with AI insights (screenshot placeholder)
Video Analyzer transforms video content into actionable intelligence using Google's Gemini AI. Extract insights, generate summaries, visualize trends, and navigate media with unprecedented precision through our AI-powered analysis platform.
graph TD
A[Video Upload] --> B{Gemini AI Processing}
B --> C[Analysis Modes]
C --> D[Captions & Transcripts]
C --> E[Key Moments]
C --> F[Data Visualization]
C --> G[Custom Queries]
D --> H[Interactive Timeline]
E --> H
F --> I[Dynamic Charts]
G --> J[Structured Output]
H --> K[Video Navigation]
I --> L[Data Exploration]
J --> M[Actionable Insights]
K --> N[Enhanced Content Review]
L --> N
M --> N
- Multi-modal AI Analysis: Combines visual, audio, and contextual understanding
- Frame-accurate Insights: Precise timecode alignment for every finding
- Content Summarization: Distills hours of footage into concise overviews
- Custom Metric Extraction: Define specialized analysis parameters
| Feature | Description | Benefit |
|---|---|---|
| Timeline Analytics | Interactive scrubber with AI markers | Visual navigation of key moments |
| Dynamic Charting | D3.js-powered data visualizations | Spot trends and patterns at a glance |
| Smart Captions | Synchronized scene descriptions | Context-aware playback experience |
| Object Recognition | Automatic identification of elements | Rapid content indexing |
- Batch Processing: Analyze multiple videos simultaneously
- API Integration: Connect with existing media workflows
- Secure Handling: Client-side processing with optional encryption
- Cross-format Support: Works with major video containers and codecs
- Accessibility Features: WCAG-compliant interface with screen reader support
graph LR
A[Video Input] --> B[Gemini API]
B --> C[Function Calling]
C --> D[Structured JSON]
D --> E[Visual Components]
E --> F[Interactive Output]
B --> G[Content Understanding]
G --> H[Semantic Analysis]
H --> I[Insight Generation]
- AI Engine:
@google/generative-ai(Gemini 2.5 Flash) - Frontend: React 19 + Vite
- Visualization: D3.js + React-Vis
- State Management: Zustand
- UI Components: Headless UI + Radix
- Styling: Tailwind CSS + CSS Modules
- Node.js v20+
- Google Gemini API Key
- Modern browser (Chrome, Edge, Firefox latest)
# Clone repository
git clone https://github.com/your-org/video-analyzer.git
cd video-analyzer
# Install dependencies
npm install
# Configure environment
cp .env.example .env.local
# Add your Gemini API key to .env.local
# Start development server
npm run dev# Create optimized production build
npm run build
# Serve production build
npm run previewsequenceDiagram
participant User
participant Frontend
participant Gemini API
participant Analysis Engine
User->>Frontend: Upload video file
Frontend->>Gemini API: Process video (uploadFile)
Gemini API-->>Frontend: Video metadata
User->>Frontend: Select analysis mode
Frontend->>Analysis Engine: Generate prompt
Analysis Engine->>Gemini API: Send structured request
Gemini API-->>Analysis Engine: Return JSON response
Analysis Engine->>Frontend: Transform to UI components
Frontend->>User: Display interactive results
User->>Frontend: Interact with insights
Frontend->>User: Update video playback
- Context-Aware Prompt Engineering: Dynamic templates based on selected mode
- Structured JSON Responses: Consistent data format for reliable rendering
- Multi-segment Analysis: Parallel processing of video segments
- Content Safety Filters: Built-in moderation for sensitive material
- Performance Optimization: Chunked processing for large files
# Build container
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
# Production container
FROM nginx:alpine
COPY --from=builder /app/dist /usr/share/nginx/html
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]| Mode | Output Format | Best For | Unique Feature |
|---|---|---|---|
| A/V Captions | Timed list | Accessibility | Scene-by-scene descriptions |
| Paragraph Summary | Timecoded text | Quick overview | Narrative-style summary |
| Key Moments | Bulleted list | Content review | Critical point identification |
| Table Output | Data table | Research | Object/environment analysis |
| Haiku | Poetic format | Creative use | Artistic interpretation |
| Chart Analysis | Interactive chart | Data trends | Custom metric visualization |
| Custom Prompt | Variable | Specialized tasks | Unlimited analysis possibilities |
// Example custom prompt for sports analysis
const sportsPrompt = {
instructions: "Analyze the sports video and identify:",
requirements: [
"Key player actions with timestamps",
"Score changes with exact timestamps",
"Highlight-worthy moments (1-10 rating)",
"Player performance metrics"
],
output: "JSON format with visualizations"
};- ✅ Multi-video Processing (Completed)
- 🚧 Real-time Analysis Streaming
- ⬜ Collaborative Review Mode
- ⬜ Automatic Chapter Generation
- ⬜ Sentiment Analysis Overlay
- ⬜ Custom Model Integration
- Cross-video Search: Find patterns across media libraries
- Predictive Analytics: Forecast content engagement
- Automated Highlight Reels: AI-generated video summaries
- Enterprise API: Scalable video intelligence platform
pie
title Analysis Processing Time
“Small Videos (<1 min)” : 25
“Medium Videos (1-5 min)” : 45
“Large Videos (5+ min)” : 20
“Batch Processing” : 10
We welcome contributions from developers and researchers:
- Fork the repository and create your feature branch
- Ensure code quality with TypeScript and ESLint
- Include comprehensive tests (Jest + Testing Library)
- Update relevant documentation
- Submit a detailed pull request
# Set up development environment
git clone https://github.com/your-org/video-analyzer.git
cd video-analyzer
npm install
# Run development server
npm run dev
# Run tests
npm testDistributed under the MIT License. See LICENSE for more information.
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