Price
$0 software; you run it
$0 software; you run it
$0 software; you run it
AI picks highlight clips from a long video
Partial: Partly
Partial: Partly
Partial: Partly
Confirmed: Yes
Auto-reframe to vertical 9:16 (speaker or face tracking)
Partial: Partly
Partial: Partly
Partial: Partly
Confirmed: Yes
Animated burned-in captions on clips
Partial: Partly
Partial: Partly
Partial: Partly
Confirmed: Yes
Virality score per clip
No: No
Partial: Partly
No: No
Confirmed: Yes
Schedule and publish clips to social platforms
Partial: Partly
No: No
No: No
Confirmed: Yes
Jobs covered
4 of 5 jobs
4 of 5 jobs
3 of 5 jobs
All 5
Popularity and activity (from GitHub)
Gain this week
Unknown
Unknown
Unknown
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Signal
Building history
Building history
Building history
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Commits / 4 wk
67Top
17
0
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Latest release
Unknown
Unknown
Unknown
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People committing / 12 mo
9
1
2
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Issues opened / closed, 30 days
7 / 9
0 / 0
0 / 0
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Facts, with sources on each project page
Runs on my machine?Differs
Confirmed: Yes, self-hosted with Docker Compose; a paid hosted version also exists
Confirmed: Yes, runs on your machine; transcription is local, highlight ranking calls a cloud LLM
Confirmed: Yes, local WebUI or CLI; the LLM can be a local GGUF model or a cloud API
Hosted by the vendor
Code licenceDiffers
Confirmed: MIT for the core app; the cloud/ folder (billing, hosted infrastructure) is source-available under a commercial licence
Confirmed: MIT
Partial: GPL-3.0 (copyleft)
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Model weights licenceDiffers
Confirmed: No separate model weights; downloads third-party models (faster-whisper, YOLOv8, MediaPipe) and calls the LLM you choose
Confirmed: No separate model weights
Partial: InsightFace pretrained models are for non-commercial research; commercial licensing must be obtained separately. Whisper weights are MIT, and user-selected local GGUF or hosted LLM options retain their own terms
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Commercial useDiffers
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
Confirmed: Yes, MIT (LLM provider terms apply separately)
Partial: GPL-3.0 code allows commercial use with copyleft conditions; licences of the models it uses are not stated
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Paid services needed?Differs
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
Partial: Needs an LLM API key; Gemini has a free tier with a daily limit, OpenAI and MuAPI are paid
Confirmed: None required; Gemini (free key) or GPT-4 optional, or run fully offline with local GGUF models
Subscription
HardwareDiffers
Confirmed: 8GB+ RAM; CPU works (5-8 min per 8-min video); optional NVIDIA GPU, 8GB VRAM enough for large-v3-turbo
Confirmed: Python 3.10+; Whisper runs on CPU or CUDA GPU, model size selectable
Confirmed: NVIDIA GPU with CUDA 12.4+ strongly recommended; exact VRAM and RAM not stated
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Operating systemsDiffers
Partial: Runs in Docker; Linux and Windows (Docker Desktop with WSL2) are documented; macOS not mentioned
Confirmed: Windows, Linux and macOS install steps in the README
Partial: Windows install scripts documented; Google Colab notebook; macOS and Linux not documented
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Setup effortDiffers
Confirmed: Medium, docker compose up --build, then enter API keys in the dashboard
Confirmed: Easy-medium, clone, pip install requirements and add an API key to .env (README clone URL uses an older repo name)
Confirmed: Medium; needs Python 3.10/3.11, FFmpeg, NVIDIA drivers and C++ Build Tools, then a .bat installer
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