# AutoShorts (gameplay)

> AutoShorts is a Python CLI and Streamlit dashboard built for gameplay footage, with 15 content presets including podcasts and interviews. It picks moments with Gemini, OpenAI vision or local heuristics, transcribes with Whisper, adds PyCaps-styled captions and optional local Qwen3-TTS voiceovers. Apache-2.0. Needs an NVIDIA GPU with CUDA and NVENC; no CPU or Mac path. Crops with blurred backgrounds rather than speaker tracking. No releases, no publishing.

- Repository: https://github.com/divyaprakash0426/autoshorts
- Official docs: https://github.com/divyaprakash0426/autoshorts#readme
- Checked: 2026-10-15

## What it replaces
- Opus Clip: AI picks highlight clips from a long video, Auto-reframe to vertical 9:16 (speaker or face tracking), Animated burned-in captions on clips (partial). Strongest on gameplay; cropping is not speaker tracking, and there is no virality score UI or social publishing.

## Facts, with sources

| Question | Status | Answer | Source | Checked |
|---|---|---|---|---|
| Runs on my machine? | Confirmed | Yes, local Python CLI and dashboard, or Docker with NVIDIA Container Toolkit | https://github.com/divyaprakash0426/autoshorts#get-started | 2026-10-15 |
| Code licence | Confirmed | Apache-2.0 | https://github.com/divyaprakash0426/autoshorts/blob/main/LICENSE | 2026-10-15 |
| Model weights licence | Confirmed | Uses Whisper and optional Qwen3-TTS (Apache-2.0); weights keep their own licences | https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign | 2026-10-15 |
| Commercial use | Confirmed | Yes, Apache-2.0 code; check the terms of any cloud AI provider you use | https://github.com/divyaprakash0426/autoshorts#license-and-credits | 2026-10-15 |
| Paid services needed? | Partial | Not required (local heuristic mode); Gemini or OpenAI analysis is optional and may cost money | https://github.com/divyaprakash0426/autoshorts#configuration | 2026-10-15 |
| Hardware | Confirmed | NVIDIA GPU with CUDA and NVENC required; 6 GB+ VRAM and 16 GB RAM recommended for voiceovers | https://github.com/divyaprakash0426/autoshorts#get-started | 2026-10-15 |
| Operating systems | Partial | Not stated per OS; requires NVIDIA CUDA, so macOS is effectively excluded | https://github.com/divyaprakash0426/autoshorts#get-started | 2026-10-15 |
| Setup effort | Confirmed | Hard; make install builds CUDA-enabled Decord and needs the CUDA toolkit and FFmpeg 4.x libraries; Docker option | https://github.com/divyaprakash0426/autoshorts#get-started | 2026-10-15 |

GitHub: 205 stars, 18 forks, last push 2026-10-10, archived: no.
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Source: RepoQuarry (https://repoquarry.dev/projects/autoshorts-gameplay). Data licence: CC BY 4.0. Quotes are from project documentation and belong to their authors.