# VideoTools Roadmap This roadmap is intentionally lightweight. It captures the next few high-priority goals without locking the project into a rigid plan. ## How We Use This - The roadmap is a short list, not a full backlog. - Items can move between buckets as priorities change. - We update this at the start of each dev cycle. ## Current State - dev21 focused on stylistic filters and enhancement module planning. - Filters module now includes decade-based authentic effects (8mm, 16mm, B&W Film, Silent Film, VHS, Webcam). - Player stability identified as critical blocker for enhancement development. ## Now (dev22 focus) - **Rock-solid video player implementation** - CRITICAL PRIORITY - Fix fundamental A/V synchronization issues - Implement frame-accurate seeking without restarts - Add hardware acceleration (CUDA/VA-API/VideoToolbox) - Integrate chapter detection from Author module - Build foundation for frame extraction and keyframing - Eliminate seeking glitches and desync issues - **Enhancement module foundation** - DEPENDS ON PLAYER - Unified Filters + Upscale workflow - Content-type aware processing (general/anime/film) - AI model management system (extensible for future models) - Multi-pass processing pipeline - Before/after preview system - Real-time enhancement feedback ## Next (dev23+) - **Enhancement module completion** - DEPENDS ON PLAYER - Open-source AI model integration (BasicVSR, RIFE, RealCUGan) - Model registry system for easy addition of new models - Content-aware model selection - Advanced restoration (SVFR, SeedVR2, diffusion-based) - Quality-aware enhancement strategies - **Trim module with timeline interface** - DEPENDS ON PLAYER - Frame-accurate trimming and cutting - Manual chapter support with keyframing - Visual timeline with chapter markers - Preview-based trimming with exact frame selection - Import chapter detection from Author module - **Professional workflow integration** - Seamless module communication (Player ↔ Enhancement ↔ Trim) - Batch enhancement processing through queue - Cross-platform frame extraction - Hardware-accelerated enhancement pipeline ## Later - **Advanced AI features** - AI-powered scene detection - Intelligent upscaling model selection - Temporal consistency algorithms - Custom model training framework - Cloud processing options - **Module expansion** - Audio enhancement and restoration - Subtitle processing and burning - Multi-track management - Advanced metadata editing ## Versioning Note We keep continuous dev numbering. After v0.1.1 release, the next dev tag becomes v0.1.1-dev22 (or whatever the next number is). ## Technical Debt and Architecture ### Player Module Critical Issues Identified The current video player has fundamental architectural problems preventing stable playback: 1. **Separate A/V Processes** - No synchronization, guaranteed drift 2. **Command-Line Interface Limitations** - VLC/MPV controllers use basic CLI, not proper IPC 3. **Frame-Accurate Seeking** - Seeking restarts processes with full re-decoding 4. **No Frame Extraction** - Critical for enhancement and chapter functionality 5. **Poor Buffer Management** - Small audio buffers cause stuttering 6. **No Hardware Acceleration** - Software decoding causes high CPU usage ### Proposed Go-Based Solution **Unified FFmpeg Player Architecture:** - Single FFmpeg process with multiplexed A/V output - Proper PTS-based synchronization with drift correction - Frame buffer pooling and memory management - Hardware acceleration through FFmpeg's native support - Frame extraction via pipe without restarts **Key Implementation Strategies:** - Ring buffers for audio/video to eliminate stuttering - Master clock reference for A/V sync - Adaptive frame timing with drift correction - Zero-copy frame operations where possible - Hardware backend detection and utilization This player enhancement is the foundation requirement for all advanced features including enhancement module and all other features that depend on reliable video playback.