divyaprakash0426/autoshorts
Automatically generate viral-ready vertical short clips from long-form gameplay footage using AI-powered scene analysis, GPU-accelerated rendering, and optional AI voiceovers.
Leverages PyTorch + CUDA for GPU-accelerated scene detection, audio analysis via `torchaudio`, and NVENC hardware encoding, with fallbacks to CPU-based libx264 and heuristic scoring when APIs unavailable. Supports OpenAI/Google Gemini for semantic analysis or runs entirely local; integrates PyCaps for styled subtitle rendering and Qwen3-TTS 1.7B for multi-language voiceover generation with voice design from natural language prompts. Output adapts dynamically across 7 semantic types (action, funny, clutch, etc.) and 10+ caption styles including GenZ slang and narrative modes, with automatic voice persona matching per style.
137 stars.
Stars
137
Forks
11
Language
Python
License
MIT
Category
Last pushed
Feb 19, 2026
Commits (30d)
0
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