iArt.ai
AI motion graphics software — the After Effects alternative anyone can use. Create animations and explainer videos from a text prompt in minutes.
翻訳待ち
On-device subtitle generation that connects directly to DaVinci Resolve, Premiere, and After Effects.
翻訳待ち
Loading the full README.
Read the full README ↗Local-first AI subtitles. No cloud, no subscription, no data leaving your machine.
Use it as a standalone app, or connect to DaVinci Resolve, Adobe Premiere Pro, and After Effects.
| Platform | Installer |
|---|---|
| 🪟 Windows | AutoSubs-windows-x86_64.exe |
| 🍎 macOS (Apple Silicon) | AutoSubs-Mac-ARM.pkg |
| 🍎 macOS (Intel) | AutoSubs-Mac-Intel.pkg |
| 🐧 Linux (Debian/Ubuntu) | AutoSubs-linux-x86_64.deb |
| 🐧 Linux (Fedora/openSUSE) | AutoSubs-linux-x86_64.rpm |
macOS users can also install AutoSubs with Homebrew:
brew install --cask auto-subs
Debian/Ubuntu (.deb):
wget https://github.com/tmoroney/auto-subs/releases/latest/download/AutoSubs-linux-x86_64.deb
sudo apt install ./AutoSubs-linux-x86_64.deb
Fedora/openSUSE (.rpm): Download AutoSubs-linux-x86_64.rpm and open it with your package manager.
[!WARNING] Mac App Store version not supported - download DaVinci Resolve from blackmagicdesign.com instead.
For command-line usage, see the CLI Guide with complete reference, examples, and troubleshooting.
[!TIP] I highly recommend checking out DeepWiki for asking questions and understanding the codebase.
AutoSubs ships with several local transcription model families. All run fully on-device — nothing is sent to the cloud. Models are downloaded on demand from the in-app Model Manager.
Accuracy is a relative 1–4 rating within AutoSubs (higher is better). Sizes and RAM figures are approximate.
OpenAI's Whisper, via whisper-rs (GGML). Each size is available in a multilingual variant and an .en English-only variant (the .en models are slightly more accurate on English audio).
| Model | Size | RAM | Languages | Accuracy |
|---|---|---|---|---|
| tiny / tiny.en | 80 MB | 1 GB | Multilingual / English | ★ |
| base / base.en | 150 MB | 1 GB | Multilingual / English | ★ |
| small / small.en | 480 MB | 2 GB | Multilingual / English | ★★ |
| medium / medium.en | 1.5 GB | 5 GB | Multilingual / English | ★★★ |
| large-v3-turbo | 1.6 GB | 6 GB | Multilingual | ★★★ |
| large-v3 | 3.1 GB | 10 GB | Multilingual | ★★★★ |
Useful Sensors' Moonshine, via ONNX Runtime. The tiny English model is quantized; the language-specific tiny variants and the base model are float-precision.
This is the beginning of the README. Read the rest at the original. Read the full README ↗