Classify images. Keyboard first.
AI models need thousands of labeled images to learn. Someone has to look at each one and say what it is — that's the slowest part of any ML project.
SwiftLabel lets you do it with a keystroke instead of a click. Open a folder, define your classes, and annotate them much faster using only your keyboard.
Local-only
Data never leaves your machine.
Git-like staging
Undo before commit. Nothing writes til you say.
Keyboard-first
Number keys to classify. Vim-style to navigate.
Why SwiftLabel?
Most annotation tools are built for teams with DevOps support. SwiftLabel is built for you.
| SwiftLabel | CVAT / Label Studio | |
|---|---|---|
| Setup | pip install, 30 sec | Docker + YAML + server |
| Navigation | Keyboard-first, vim-style | Mouse-first |
| Data | Local only, never leaves your machine | Cloud by default |
| Workflow | Git-like staging (undo before commit) | Direct writes |
| Config | Zero. Point at a folder | Templates, plugins, projects |
Don't take our word for it. See what each tool requires.
Complex
Label Studio
Heavy
CVAT
Simple
SwiftLabel
See it in action