ai-multimodal

# AI Multimodal Processing Skill

Process audio, images, videos, documents, and generate images using Google Gemini's multimodal API. Unified interface for all multimedia content understanding and generation.

## Core Capabilities

### Audio Processing
- Transcription with timestamps (up to 9.5 hours)
- Audio summarization and analysis
- Speech understanding and speaker identification
- Music and environmental sound analysis
- Text-to-speech generation with controllable voice

### Image Understanding
- Image captioning and description
- Object detection with bounding boxes (2.0+)
- Pixel-level segmentation (2.5+)
- Visual question answering
- Multi-image comparison (up to 3,600 images)
- OCR and text extraction

### Video Analysis
- Scene detection and summarization
- Video Q&A with temporal understanding
- Transcription with visual descriptions
- YouTube URL support
- Long video processing (up to 6 hours)
- Frame-level analysis

### Document Extraction
- Native PDF vision processing (up to 1,000 pages)
- Table and form extraction
- Chart and diagram analysis
- Multi-page document understanding
- Structured data output (JSON schema)
- Format conversion (PDF to HTML/JSON)

### Image Generation
- Text-to-image generation
- Image editing and modification
- Multi-image composition (up to 3 images)
- Iterative refinement
- Multiple aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4)
- Controllable style and quality

## Capability Matrix

| Task | Audio | Image | Video | Document | Generation |
|------|:-----:|:-----:|:-----:|:--------:|:----------:|
| Transcription | ✓ | - | ✓ | - | - |
| Summarization | ✓ | ✓ | ✓ | ✓ | - |
| Q&A | ✓ | ✓ | ✓ | ✓ | - |
| Object Detection | - | ✓ | ✓ | - | - |
| Text Extraction | - | ✓ | - | ✓ | - |
| Structured Output | ✓ | ✓ | ✓ | ✓ | - |
| Creation | TTS | - | - | - | ✓ |
| Timestamps | ✓ | - | ✓ | - | - |
| Segmentation | - | ✓ | - | - | - |

## Model Selection Guide

### Gemini 2.5 Series (Recommended)
- **gemini-2.5-pro**: Highest quality, all features, 1M-2M context
- **gemini-2.5-flash**: Best balance, all features, 1M-2M context
- **gemini-2.5-flash-lite**: Lightweight, segmentation support
- **gemini-2.5-flash-image**: Image generation only

### Gemini 2.0 Series
- **gemini-2.0-flash**: Fast processing, object detection
- **gemini-2.0-flash-lite**: Lightweight option

### Feature Requirements
- **Segmentation**: Requires 2.5+ models
- **Object Detection**: Requires 2.0+ models
- **Multi-video**: Requires 2.5+ models
- **Image Generation**: Requires flash-image model

### Context Windows
- **2M tokens**: ~6 hours video (low-res) or ~2 hours (default)
- **1M tokens**: ~3 hours video (low-res) or ~1 hour (default)
- **Audio**: 32 tokens/second (1 min = 1,920 tokens)
- **PDF**: 258 tokens/page (fixed)
- **Image**: 258-1,548 tokens based on size

## Quick Start

### Prerequisites

**API Key Setup**: Supports both Google AI Studio and Vertex AI.

The skill checks for `GEMINI_API_KEY` in this order:
1. Process environment: `export GEMINI_API_KEY="your-key"`
2. Project root: `.env`
3. `.claude/.env`
4. `.claude/skills/.env`
5. `.claude/skills/ai-multimodal/.env`

**Get API key**: https://aistudio.google.com/apikey

**For Vertex AI**:
```bash
export GEMINI_USE_VERTEX=true
export VERTEX_PROJECT_ID=your-gcp-project-id
export VERTEX_LOCATION=us-central1  # Optional
```

**Install SDK**:
```bash
pip install google-genai python-dotenv pillow
```

### Common Patterns

**Transcribe Audio**:
```bash
python scripts/gemini_batch_process.py \
  --files audio.mp3 \
  --task transcribe \
  --model gemini-2.5-flash
```

**Analyze Image**:
```bash
python scripts/gemini_batch_process.py \
  --files image.jpg \
  --task analyze \
  --prompt "Describe this image" \
  --output docs/assets/<output-name>.md \
  --model gemini-2.5-flash
```

**Process Video**:
```bash
python scripts/gemini_batch_process.py \
  --files video.mp4 \
  --task analyze \
  --prompt "Summarize key points with timestamps" \
  --output docs/assets/<output-name>.md \
  --model gemini-2.5-flash
```

**Extract from PDF**:
```bash
python scripts/gemini_batch_process.py \
  --files document.pdf \
  --task extract \
  --prompt "Extract table data as JSON" \
  --output docs/assets/<output-name>.md \
  --format json
```

**Generate Image**:
```bash
python scripts/gemini_batch_process.py \
  --task generate \
  --prompt "A futuristic city at sunset" \
  --output docs/assets/<output-file-name> \
  --model gemini-2.5-flash-image \
  --aspect-ratio 16:9
```

**Optimize Media**:
```bash
# Prepare large video for processing
python scripts/media_optimizer.py \
  --input large-video.mp4 \
  --output docs/assets/<output-file-name> \
  --target-size 100MB

# Batch optimize multiple files
python scripts/media_optimizer.py \
  --input-dir ./videos \
  --output-dir docs/assets/optimized \
  --quality 85
```

**Convert Documents to Markdown**:
```bash
# Convert to PDF
python scripts/document_converter.py \
  --input document.docx \
  --output docs/assets/document.md

# Extract pages
python scripts/document_converter.py \
  --input large.pdf \
  --output docs/assets/chapter1.md \
  --pages 1-20
```

## Supported Formats

### Audio
- WAV, MP3, AAC, FLAC, OGG Vorbis, AIFF
- Max 9.5 hours per request
- Auto-downsampled to 16 Kbps mono

### Images
- PNG, JPEG, WEBP, HEIC, HEIF
- Max 3,600 images per request
- Resolution: ≤384px = 258 tokens, larger = tiled

### Video
- MP4, MPEG, MOV, AVI, FLV, MPG, WebM, WMV, 3GPP
- Max 6 hours (low-res) or 2 hours (default)
- YouTube URLs supported (public only)

### Documents
- PDF only for vision processing
- Max 1,000 pages
- TXT, HTML, Markdown supported (text-only)

### Size Limits
- **Inline**: <20MB total request
- **File API**: 2GB per file, 20GB project quota
- **Retention**: 48 hours auto-delete

## Reference Navigation

For detailed implementation guidance, see:

### Audio Processing
- `references/audio-processing.md` - Transcription, analysis, TTS
  - Timestamp handling and segment analysis
  -