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SwiftVision.ai

SwiftVision Logo

Offline Image Annotation Studio - A fast, keyboard-driven bounding box annotation tool for creating YOLO-format datasets. 100% offline, no cloud, no account required.

PyPI version Python 3.8+ License: MIT

Features

  • Draw boxes with mouse, drag corners to resize
  • Arrow keys to nudge boxes (Shift = 10px steps)
  • Number keys 1-9 to apply classes instantly
  • Undo / Redo with Ctrl+Z / Ctrl+Y
  • Auto-save YOLO .txt files, only for annotated images
  • Copy labels from previous image in one click
  • SwiftVision green branding with custom logo + favicon
  • Zoom, pan, hover crosshair guides for precision
  • Right-click a box to delete instantly
  • Full-screen canvas with sidebars

Installation

pip install swiftvision

Requirements: Python 3.8+, Pillow

Linux users: If Tkinter is missing, run sudo apt install python3-tk

Quick Start

swiftvision
  1. Click Load Folder and pick your images directory
  2. Add class names in the right sidebar
  3. Draw boxes by dragging on the image
  4. Assign a class via single-click or number keys 1-9
  5. Use Ctrl+Z / Ctrl+Y for undo/redo
  6. Click Save All Labels to write .txt files

Keyboard Shortcuts

Key Action
Left / Right Move box 1px (or prev/next image)
Shift + Left / Right Move 10px
Up / Down Move box vertically
1-9 Apply class N
Del / Backspace Delete selected box
Ctrl+Z Undo
Ctrl+Y Redo
Ctrl+S Save project
Ctrl+E Export YOLO
R Rename class
N Focus new class input

Mouse Controls

Action What it does
Left click + drag Draw new box
Left click on box Select box
Drag inside box Move it
Drag corner Resize
Right click on box Delete
Right click + drag Pan image
Mouse wheel Zoom

License

MIT License

Metadata

Release files for swiftvision 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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swiftvision-0.1.3-py3-none-any.whl Python 3 none any Details

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