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ALwrity/docs/Video Studio/VIDEO_STUDIO_FEATURE_ANALYSIS.md

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# Video Studio Feature Analysis & Implementation Plan
## 1. Transform Studio - AI Model Documentation Review
### ✅ Phase 1 Complete (FFmpeg Features)
- Format Conversion (MP4, MOV, WebM, GIF)
- Aspect Ratio Conversion (16:9, 9:16, 1:1, 4:5, 21:9)
- Speed Adjustment (0.25x - 4x)
- Resolution Scaling (480p - 4K)
- Compression (File size optimization)
### ⚠️ Phase 2 Pending (Style Transfer - Needs Documentation)
**Required AI Models for Style Transfer:**
1. **WAN 2.1 Ditto** - Video-to-Video Restyle
- Model: `wavespeed-ai/wan-2.1/ditto`
- Purpose: Apply artistic styles to videos
- Status: ⚠️ **Documentation needed**
- Documentation Requirements:
- API endpoint URL
- Input parameters (video, style prompt, style reference image)
- Output format and metadata
- Pricing structure
- Supported resolutions (480p, 720p, 1080p?)
- Duration limits
- Use cases and best practices
- WaveSpeed Link: Need to verify/find
2. **WAN 2.1 Synthetic-to-Real Ditto**
- Model: `wavespeed-ai/wan-2.1/synthetic-to-real-ditto`
- Purpose: Convert AI-generated videos to realistic style
- Status: ⚠️ **Documentation needed**
- Documentation Requirements: Same as above
**Optional Models (Future):**
- `mirelo-ai/sfx-v1.5/video-to-video` - Alternative style transfer
- `decart/lucy-edit-pro` - Advanced editing and style transfer
---
## 2. Face Swap Feature Analysis
### Current Status: ⚠️ **Partially Implemented (Stub)**
**Backend Code Found:**
- `backend/routers/video_studio/endpoints/avatar.py` - Endpoint accepts `video_file` parameter for face swap
- `backend/services/video_studio/video_studio_service.py` - `generate_avatar_video()` method references face swap
- Model mapping: `"wavespeed/mocha": "wavespeed/mocha/face-swap"`
**Issues Found:**
- ❌ `WaveSpeedClient.generate_video()` method **DOES NOT EXIST**
- ❌ Face swap functionality is **NOT IMPLEMENTED**
- ⚠️ Code structure exists but calls non-existent method
**Documentation References:**
- Comprehensive Plan mentions: `wavespeed-ai/wan-2.1/mocha` (face swap)
- Model catalog lists: `wavespeed-ai/wan-2.1/mocha`, `wavespeed-ai/video-face-swap`
**Required Documentation:**
1. **WAN 2.1 MoCha Face Swap**
- Model: `wavespeed-ai/wan-2.1/mocha` or `wavespeed-ai/wan-2.1/mocha/face-swap`
- Purpose: Swap faces in videos
- Documentation needed:
- API endpoint
- Input parameters (source video, face image, optional mask)
- Output format
- Pricing
- Supported resolutions/durations
- Face detection requirements
- Best practices
2. **Video Face Swap (Alternative)**
- Model: `wavespeed-ai/video-face-swap` (if different from MoCha)
- Documentation: Same as above
**Recommendation:**
- Face swap should be part of **Edit Studio** (not Avatar Studio)
- Avatar Studio is for talking avatars (photo + audio → talking video)
- Face swap is for replacing faces in existing videos (video + face image → swapped video)
---
## 3. Video Translation Feature Analysis
### Current Status: ⚠️ **Partially Implemented (Stub)**
**Backend Code Found:**
- `backend/services/video_studio/video_studio_service.py` - References `heygen/video-translate`
- Model mapping: `"heygen/video-translate": "heygen/video-translate"`
- Listed in available models but **NOT IMPLEMENTED**
**Documentation References:**
- Comprehensive Plan mentions: `heygen/video-translate` (dubbing/translation)
- Model catalog lists: Audio/foley/dubbing models
**Required Documentation:**
1. **HeyGen Video Translate**
- Model: `heygen/video-translate`
- Purpose: Translate video language with lip-sync
- Documentation needed:
- API endpoint
- Input parameters (video, source language, target language)
- Output format
- Pricing
- Supported languages
- Duration limits
- Lip-sync quality
- Best practices
**Alternative Models (If HeyGen not available):**
- `wavespeed-ai/hunyuan-video-foley` - Audio generation
- `wavespeed-ai/think-sound` - Audio generation
- May need separate translation service + audio generation
**Recommendation:**
- Video translation should be part of **Edit Studio** or a separate **Localization Studio**
- Could be integrated with Avatar Studio for multilingual avatar videos
- Consider workflow: Video → Translate Audio → Generate Lip-Sync → Output
---
## 4. Social Optimizer Implementation Plan
### Overview
Social Optimizer creates platform-optimized versions of videos for Instagram, TikTok, YouTube, LinkedIn, Facebook, and Twitter.
### Features to Implement
#### Core Features (FFmpeg-based - Can Start Immediately):
1. **Platform Presets**
- Instagram Reels (9:16, max 90s)
- TikTok (9:16, max 60s)
- YouTube Shorts (9:16, max 60s)
- LinkedIn Video (16:9, max 10min)
- Facebook (16:9 or 1:1, max 240s)
- Twitter/X (16:9, max 140s)
2. **Aspect Ratio Conversion**
- Auto-crop to platform ratio (reuse Transform Studio logic)
- Smart cropping (center, face detection)
- Letterboxing/pillarboxing
3. **Duration Trimming**
- Auto-trim to platform max duration
- Smart trimming (keep beginning, middle, or end)
- User-selectable trim points
4. **File Size Optimization**
- Compress to meet platform limits
- Quality presets per platform
- Bitrate optimization
5. **Thumbnail Generation**
- Extract frame from video (FFmpeg)
- Generate multiple thumbnails (start, middle, end)
- Custom thumbnail selection
#### Advanced Features (May Need AI):
6. **Caption Overlay**
- Auto-caption generation (speech-to-text)
- Platform-specific caption styles
- Safe zone overlays
7. **Safe Zone Visualization**
- Show text-safe areas per platform
- Visual overlay in preview
- Platform-specific guidelines
### Implementation Strategy
**Phase 1: Core Features (FFmpeg)**
- Platform presets and aspect ratio conversion
- Duration trimming
- File size compression
- Basic thumbnail generation
- Batch export for multiple platforms
**Phase 2: Advanced Features**
- Caption overlay (may need speech-to-text API)
- Safe zone visualization
- Enhanced thumbnail generation
### Technical Approach
**Backend:**
- Reuse `video_processors.py` from Transform Studio
- Create `social_optimizer_service.py`
- Platform specifications (aspect ratios, durations, file size limits)
- Batch processing for multiple platforms
**Frontend:**
- Platform selection checkboxes
- Preview grid showing all platform versions
- Individual download or batch download
- Progress tracking for batch operations
### Platform Specifications
| Platform | Aspect Ratio | Max Duration | Max File Size | Formats |
|----------|--------------|--------------|---------------|---------|
| Instagram Reels | 9:16 | 90s | 4GB | MP4 |
| TikTok | 9:16 | 60s | 287MB | MP4, MOV |
| YouTube Shorts | 9:16 | 60s | 256GB | MP4, MOV, WebM |
| LinkedIn | 16:9, 1:1 | 10min | 5GB | MP4 |
| Facebook | 16:9, 1:1 | 240s | 4GB | MP4, MOV |
| Twitter/X | 16:9 | 140s | 512MB | MP4 |
---
## Summary & Recommendations
### Transform Studio
- ✅ **Phase 1 Complete**: All FFmpeg features implemented
- ⚠️ **Phase 2 Pending**: Need documentation for style transfer models (Ditto)
### Face Swap
- ⚠️ **Not Implemented**: Code structure exists but functionality missing
- 📋 **Action Required**:
- Get WaveSpeed documentation for `wavespeed-ai/wan-2.1/mocha` or `wavespeed-ai/video-face-swap`
- Implement face swap in **Edit Studio** (not Avatar Studio)
- Add face swap tab to Edit Studio UI
### Video Translation
- ⚠️ **Not Implemented**: Only referenced in code, no actual implementation
- 📋 **Action Required**:
- Get HeyGen documentation for `heygen/video-translate`
- Or find alternative translation + lip-sync solution
- Consider adding to Edit Studio or separate Localization module
### Social Optimizer
- ✅ **Can Start Immediately**: 80% of features use FFmpeg (reuse Transform Studio processors)
- 📋 **Implementation Plan**:
- Phase 1: Platform presets, aspect conversion, trimming, compression, thumbnails
- Phase 2: Caption overlay, safe zones (may need additional APIs)
---
## Next Steps Priority
1. **Social Optimizer** (Immediate - No AI docs needed)
- Reuse Transform Studio processors
- Platform specifications
- Batch processing
2. **Face Swap** (After Social Optimizer)
- Get WaveSpeed MoCha documentation
- Implement in Edit Studio
- Add UI for face selection
3. **Video Translation** (After Face Swap)
- Get HeyGen documentation
- Implement translation + lip-sync
- Add to Edit Studio or separate module
4. **Style Transfer** (Transform Studio Phase 2)
- Get Ditto model documentation
- Add style transfer tab to Transform Studio
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