Auto-reframe to vertical 9:16 (speaker or face tracking)
Partial:Partly
Partial:Partly
Confirmed:Yes
Animated burned-in captions on clips
Partial:Partly
Partial:Partly
Confirmed:Yes
Virality score per clip
Partial:Partly
No:No
Confirmed:Yes
Schedule and publish clips to social platforms
No:No
Partial:Partly
Confirmed:Yes
Jobs covered
4 of 5 jobs
4 of 5 jobs
All 5
Popularity and activity (from GitHub)
Stars
631
6,909Top
—
Gain this week
Unknown
Unknown
—
Signal
Building history
Building history
—
Commits / 4 wk
17
67Top
—
Latest release
Unknown
Unknown
—
Commits / 12 wk
17
260
—
People committing / 12 mo
1
9
—
Issues opened / closed, 30 days
0 / 0
7 / 9
—
Facts, with sources on each project page
Runs on my machine?Differs
Confirmed:Yes, runs on your machine; transcription is local, highlight ranking calls a cloud LLM
Confirmed:Yes, self-hosted with Docker Compose; a paid hosted version also exists
Hosted by the vendor
Code licenceDiffers
Confirmed:MIT
Confirmed:MIT for the core app; the cloud/ folder (billing, hosted infrastructure) is source-available under a commercial licence
—
Model weights licenceDiffers
Confirmed:No separate model weights
Confirmed:No separate model weights; downloads third-party models (faster-whisper, YOLOv8, MediaPipe) and calls the LLM you choose
—
Commercial useDiffers
Confirmed:Yes, MIT (LLM provider terms apply separately)
Confirmed:Yes for the MIT core; the cloud/ billing folder may not be resold as a hosted service. Licences of bundled models (e.g. ultralytics YOLOv8) not checked
—
Paid services needed?Differs
Partial:Needs an LLM API key; Gemini has a free tier with a daily limit, OpenAI and MuAPI are paid
Partial:Clipping can run with a local LLM and no paid key; Gemini is the default and is needed for auto-layout and silent videos; posting, dubbing and AI actors use paid APIs
Subscription
HardwareDiffers
Confirmed:Python 3.10+; Whisper runs on CPU or CUDA GPU, model size selectable
Confirmed:8GB+ RAM; CPU works (5-8 min per 8-min video); optional NVIDIA GPU, 8GB VRAM enough for large-v3-turbo
—
Operating systemsDiffers
Confirmed:Windows, Linux and macOS install steps in the README
Partial:Runs in Docker; Linux and Windows (Docker Desktop with WSL2) are documented; macOS not mentioned
—
Setup effortDiffers
Confirmed:Easy-medium, clone, pip install requirements and add an API key to .env (README clone URL uses an older repo name)
Confirmed:Medium, docker compose up --build, then enter API keys in the dashboard
—
Stars over time
Switch to Growth % to compare projects of different sizes fairly.
AI shorts generator (short-video-maker)
OpenShorts
Tracked daily since 16 Oct 2026. Dashed history: estimated from public records of when people starred the repo. Lines connect observations only; gaps contain no measured points.
Growth % starts at each project's first observed point in the shown range. Zero-star starts are unavailable.
Notes for a video or post
A plain summary with today's date and a link to the sources. Check each project page before you publish.
Want share images and a ready video description? Open a project's creator kit.
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