xiry.

AI · Web app

Netryx Astra V2

Open-source image geolocation tool using computer vision instead of metadata

From the Xiry library · Updated 3 October 2026

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Netryx Astra V2 is a self-hosted OSINT application that identifies the geographic coordinates of a photo without relying on EXIF metadata. It pairs MegaLoc for visual candidate retrieval with MASt3R for 3D-aware dense image matching against street-view imagery databases. The system clusters matching results using spatial consensus and supports community-shared offline index files.

What it's for

  • Geolocate cropped or low-quality investigative photos without metadata
  • Verify visual locations for human rights documentation and OSINT investigations
  • Index custom geographic areas from street-level panorama imagery
  • Share and search pre-built city indices offline using portable index bundles

Features

  • Three-stage localization pipeline combining MegaLoc, MASt3R, and spatial consensus
  • Metadata-free visual matching using 3D scene geometry and visual descriptors
  • Local graphical interface with interactive map and coordinate plotting
  • Community Hub integration for downloading and uploading regional search indices
  • Offline .netryx index bundles for air-gapped or portable analysis
  • Multi-platform acceleration supporting Apple Silicon MPS, NVIDIA CUDA, and AMD ROCm

Pricing

Open source. Free and open source (MIT license)

Details

Type
Web app
Category
AI
Topic
OSINT & Geolocation
Open source
Yes
Platforms
Linux, macOS, Windows, Self-hosted
For
OSINT researchers, investigative journalists, forensic investigators, and security analysts.
Alternative to
GeoSpy, Pico
Tags
osint, geolocation, computervision, imagematching, python, investigation

Why it was saved

  • @carterperez.dev, 19 July 2026: Pinpoints the real-world geographic coordinates of a photograph purely from visual features, offering a free alternative to commercial geolocation tools.

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Updated