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moreminimore-marketing/docs/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):

  1. Caption Overlay

    • Auto-caption generation (speech-to-text)
    • Platform-specific caption styles
    • Safe zone overlays

  2. 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