ALwrity/docs/VIDEO_STUDIO_FEATURE_ANALYSIS.md

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

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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)

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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

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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

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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)

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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