Video understanding and transcription with intelligent multi-provider fallback. Use when: (1) Transcribing video or audio content, (2) Understanding video content including visual elements and scenes, (3) Analyzing YouTube videos by URL, (4) Extracting information from local video files, (5) Getting timestamps, summaries, or answering questions about video content. Automatically selects the best available provider based on configured API keys - prefers full video understanding (Gemini/OpenRouter) over ASR-only providers. Supports model selection per provider.
Resources
2Install
npx skillscat add jrusso1020/video-understand-skills/video-understand Install via the SkillsCat registry.
Video Understanding
Multi-provider video understanding with automatic fallback and model selection.
Quick Start
# Check available providers
python3 scripts/check_providers.py
# Process a video (auto-selects best provider)
python3 scripts/process_video.py "https://youtube.com/watch?v=..."
python3 scripts/process_video.py /path/to/video.mp4
# Custom prompt
python3 scripts/process_video.py video.mp4 -p "List all products shown with timestamps"
# Use specific provider/model
python3 scripts/process_video.py video.mp4 --provider openrouter -m google/gemini-3-pro-preview
# List available models
python3 scripts/process_video.py --list-modelsProvider Hierarchy
Automatically selects the best available provider:
| Priority | Provider | Capability | Env Var | Default Model |
|---|---|---|---|---|
| 1 | Gemini | Full video | GEMINI_API_KEY |
gemini-3-flash-preview |
| 2 | Vertex AI | Full video | GOOGLE_APPLICATION_CREDENTIALS |
gemini-3-flash-preview |
| 3 | OpenRouter | Full video | OPENROUTER_API_KEY |
google/gemini-3-flash-preview |
| 4 | FFMPEG | Frames + ASR | None (requires ffmpeg + whisper) | scene |
| 5 | OpenAI | ASR only | OPENAI_API_KEY |
whisper-1 |
| 6 | AssemblyAI | ASR + analysis | ASSEMBLYAI_API_KEY |
best |
| 7 | Deepgram | ASR | DEEPGRAM_API_KEY |
nova-2 |
| 8 | Groq | ASR (fast) | GROQ_API_KEY |
whisper-large-v3-turbo |
| 9 | Local Whisper | ASR (offline) | None | base |
Full video = visual + audio analysis. Frames + ASR = extracted screenshots + audio transcription (free, offline). ASR = audio transcription only.
CLI Options
python3 scripts/process_video.py [OPTIONS] SOURCE
Arguments:
SOURCE YouTube URL, video URL, or local file path
Options:
-p, --prompt TEXT Custom prompt for video understanding
--provider NAME Force specific provider
-m, --model NAME Force specific model
--asr-only Force ASR-only mode (skip visual analysis)
-o, --output FILE Write JSON to file instead of stdout
-q, --quiet Suppress progress messages
--list-models Show available models per provider
--list-providers Show available providers as JSONModel Selection
Each provider supports multiple models. Use --list-models to see options:
python3 scripts/process_video.py --list-modelsOpenRouter models:
google/gemini-3-flash-preview(default) - Fast, free tiergoogle/gemini-3-pro-preview- Higher quality
Gemini models:
gemini-3-flash-preview(default) - Latest, fastgemini-3-pro-preview- Highest qualitygemini-2.5-flash- Stable production fallback
Local Whisper models:
tiny,base(default),small,medium,large,large-v3
FFMPEG modes (frame extraction strategy):
scene(default) - Extract frames when scene changes (smart, efficient)keyframe- Extract I-frames only (fastest)interval- Extract frames at regular intervals (predictable)
Quick Reference
| Task | Reference |
|---|---|
| Setup & API keys | setup-guide.md |
| Use Gemini for video | gemini.md |
| Use OpenRouter | openrouter.md |
| FFMPEG frames (free) | ffmpeg-frames.md |
| ASR providers | asr-providers.md |
| Output JSON schema | output-format.md |
| Video sources & downloading | video-sources.md |
Verify Setup
python3 scripts/setup.py # Check dependencies and API keysOutput Format
All providers return consistent JSON:
{
"source": {
"type": "youtube|url|local",
"path": "...",
"duration_seconds": 120.5,
"size_mb": 15.2
},
"provider": "openrouter",
"model": "google/gemini-3-flash-preview",
"capability": "full_video",
"response": "...",
"transcript": [{"start": 0.0, "end": 2.5, "text": "..."}],
"text": "Full transcript..."
}Features
- Automatic provider selection based on available API keys
- Model selection per provider with sensible defaults
- Robust path handling for macOS special characters and unicode
- Progress output (use
-qfor quiet mode) - File size warnings for API limits
- Auto-conversion of video formats when needed
- YouTube URL support (direct or via download)
Requirements
For full video understanding:
pip install google-generativeai # Gemini
pip install openai # OpenRouterFor ASR fallback:
brew install yt-dlp ffmpeg # Video tools
pip install openai # OpenAI Whisper
pip install groq # Groq Whisper
pip install assemblyai # AssemblyAI
pip install deepgram-sdk # Deepgram
pip install openai-whisper # Local Whisper