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AITracer by LAD QGIS 4 compatibility
QGIS 4 ready Active
Yes — AITracer by LAD supports QGIS 4 (declared max version 4.99.0).
Click any feature on a georeferenced raster and SAM2 segments it instantly. Refine with positive/negative prompts, then accept to create a vector polygon. All processing runs locally — by LAD, Sapienza University of Rome.
About
AITracer by LAD brings AI-assisted raster digitization to QGIS 4. Activate the tool, click any feature in a georeferenced raster — aerial photo, drone orthophoto, scanned plan — and the SAM2-tiny model segments it instantly as a polygon preview. Refine the result with positive or negative point prompts, adjust Douglas-Peucker simplification, then accept to add the polygon to any vector layer. HOW IT WORKS: AITracer captures a screenshot of the current QGIS canvas and sends it to SAM2 — it does not read the original raster file. This keeps processing fast and memory-light on modest hardware. The output resolution depends on your zoom level, not the raster resolution. Features that extend beyond the canvas edge will be partially traced. The canvas is locked during a session to keep pixel-to-map coordinates consistent. First-time setup automatically downloads a standalone Python runtime and the SAM2-tiny model weights (~160 MB). An internet connection is required for this one-time step only. All subsequent processing runs entirely on your machine; no data is ever sent to external servers. Developed by LAD — Laboratorio di Archeologia Digitale, Sapienza University of Rome.
| Author | Julian Bogdani | LAD – Laboratorio di Archeologia Digitale, Sapienza University of Rome |
|---|---|
| Downloads | 1,433 |
| Latest version | 0.2.2 |
| Last updated | 2026-10-13 (2 days ago) |
| Min QGIS | 4.0.0 |
| Max QGIS | 4.99.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Categories | AI & machine learning, Georeferencing & CAD |
| Tags | ai, remote sensing, sam, sam2, segment anything, digitisation, machine learning, vectorization, archaeology, instance segmentation, vectorisation, aerial photo, digitizing, drone, raster, segmentation |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.