JayWebtech/autoshorts
AutoShorts is a local-first desktop application for turning long-form video or audio recordings into high-impact, vertical short-form clip candidates (9:16 portrait) with AI-powered viral moment ranking.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 117 days ago, with 3 contributors on GitHub.
Peaked at #37 in the weekly ranking the week of Oct 4, its best in the past year.
Use Cases & Benefits
- Transforms long-form video or audio into vertical short-form clips using AI to identify and rank viral moments.
- Combines local-first processing with AI-powered multi-LLM support for automated, privacy-conscious clip generation and ranking.
- Use for content creators needing quick extraction of engaging short clips from lengthy recordings for social media.
- Use for marketers aiming to generate portrait-format video ads optimized for mobile platforms with AI-ranked highlights.
- Use for developers building desktop apps that integrate Rust, React, and AI models for media processing and analysis.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
No license detected
No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.
Community files
- README: present
Watch-outs
- Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
General guidance from repository metadata, not legal advice. How we score
From the README
AutoShorts is a local-first desktop application for turning long-form video or audio recordings into high-impact, vertical short-form clip candidates (9:16 portrait) with AI-powered viral moment ranking.
This repository implements the desktop app foundation using Tauri 2 + React + TSX + Rust + SQLite.
To run the application, FFmpeg & FFprobe must be installed and available on your system
PATHto handle cropping, audio extraction, and dynamic captions:Note: To ensure full captions rendering support, if standard Homebrew FFmpeg lacks drawtext/subtitles filters, tap and install the
homebrew-ffmpegformula:(Or download the release build from gyan.dev and add it to your system PATH environment variables).
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+281 stars over 26 days across 12 snapshot days; best day +53 on Oct 2.
Forks
262+58
Open issues
22+4
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| JayWebtech/autoshorts | 1.3K | — | 21 | 117 days ago |
| Category median | 56.0K | +2.3K | 29 | — |
Discover Repositories
Search across tracked repositories by name or description