Product meets research
Photo geolocation for real-world evidence.
Pic2Nav is a modern geolocation stack that combines metadata recovery, OCR, retrieval, validation, and feedback-driven learning to turn photographs into reviewable location signals.
Hybrid stack
Metadata, OCR, retrieval, and reasoning in one route
Fail closed
The system abstains when the evidence is weak
Learning loop
Corrections become future retrieval and training memory
Recognition surface
A product interface built around evidence
Pipeline
Direct signals are checked first. Broader reasoning only comes in when the image needs it.
1
Recover direct evidence where possible.
2
Route through retrieval, OCR, and scene reasoning.
3
Return only validated, reviewable location output.
What Pic2Nav is
A restrained interface for a complicated system.
The product is designed to feel simple on the surface while staying honest about uncertainty, validation, and messy image evidence underneath.
Capture and review
Move from upload or live camera into a single recognition workflow with confidence-aware output.
Verify messy evidence
Use visible text, landmarks, and weak scene clues without pretending every image is clean and easy.
Publish the system
Keep papers, experiments, and product updates close to the actual stack instead of treating them as separate worlds.
Research posture
Built like software, written like research.
Pic2Nav is not presented as a single magical model. It is a hybrid production system with routing logic, confidence rules, and a feedback loop that makes the stack sharper over time.
Direct signals such as EXIF GPS and visible addresses are prioritized before broader inference.
NaviSense, Claude, and Google Vision are routed together when evidence is partial or noisy.
Every accepted result is shaped by confidence gating, geographic validation, and operator review.
Latest publications
Notes from the system as it evolves.
No publications are live yet.
View publication notesStart with the product
Open the camera workflow and test the stack on real images.
Upload, capture, or verify a location in the same interface used to connect image evidence, confidence, map context, and feedback.
Newsletter
Follow product releases and research updates.
Get publication links, model updates, and major system changes without having to watch the repo full-time.