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OSINT Verification Chain

Start the OSINT verification chain. Upload your image.

Image verification is a chain, not a single tool. Reverse search establishes provenance, geolocation establishes place, Street View confirms, you decide. Oceanir is the geolocation link.

No GPS or EXIF required/Free surface scan/Audit-grade PDF on Pro/How it works

The five-step verification chain

01

Reverse Image Search

TinEye / Google Images

Find where this image appears online. Tells you if the photo is unique, repurposed, or already documented as a known fake. This is your first triage step.

02

Geolocation

OceanirCurrent step

Find where this image was taken. Oceanir reads pixels (architecture, signage, road markings, vegetation) and returns ranked location candidates with GPS coordinates and confidence. This is the keystone step.

03

Street View Confirmation

Oceanir D3 (Pro)

Cross-check the location visually. D3 pulls Street View imagery at the candidate coordinates and compares scene geometry to confirm or reject the match.

04

Evidence Export

Oceanir

Package for your report. Export the coordinates, confidence, visual cues, and Street View comparison as a single review-ready bundle for downstream stakeholders.

05

Human Judgment

You

Make the final call. No model is a substitute for an analyst who understands the operational context, the source of the image, and the consequences of being wrong.

Why geolocation is the keystone step

Reverse image search tells you whether the photo exists elsewhere online. It does not tell you where the photo was taken. Without a location, you cannot cross-check visual evidence, plan on-the-ground verification, or build a credible narrative.

Geolocation is the step that converts a flat image into a place on a map. Every downstream step (Street View confirmation, evidence export, human judgment) depends on it. Get the location wrong and the entire chain fails. Get it right and the rest of the workflow has something to verify.

Oceanir in the OSINT stack

TinEye / Google Images

Reverse image search. Identifies whether the image appears elsewhere on the web and in what context.

Oceanir

Visual geolocation. Returns ranked location candidates with confidence from pixel-level scene analysis. No metadata required.

Maltego

Graph-based link analysis. Maps relationships between entities (people, domains, accounts) surfaced by your other tools.

Bellingcat OpenStreetView

Crowdsourced street-level imagery archive. Useful for confirming Oceanir candidates in regions with sparse Google Street View coverage.

Run the keystone step

Free surface scan. Coordinates and confidence in under 30 seconds.

No GPS or EXIF required/Free surface scan/Audit-grade PDF on Pro/How it works

Frequently asked questions

Where does geolocation fit in an OSINT workflow?+

Geolocation is the keystone step. It runs after reverse image search (which tells you if the photo is unique) and before Street View confirmation (which validates the candidate). Without a location, you cannot cross-check visual evidence, schedule on-site verification, or build a coherent narrative.

Can Oceanir replace TinEye or Google Images?+

No. They do different things. TinEye and Google Images find where else the image appears online. Oceanir finds where the image was physically taken. A complete OSINT workflow uses both: reverse search to establish provenance, geolocation to establish location.

What's the difference between D1 and D3 geolocation?+

D1 is the free surface scan that returns coordinates and confidence from a single pass. D3 (Pro) adds multi-pass visual verification, pulling Street View imagery at the candidate coordinates and comparing scene geometry to confirm or reject the match before you commit to it.

How do I document OSINT geolocation evidence?+

Use Oceanir's export bundle. It includes the source image, ranked candidates with coordinates and confidence, the visual cues that drove each candidate, and the Street View comparison (on D3). Save the bundle alongside your case file and timestamp it.

Is Oceanir's geolocation admissible as evidence?+

Geolocation output is an analytical aid, not a forensic certainty. The confidence score and visual cues are designed for an analyst to review and corroborate. Whether it's admissible depends on jurisdiction, the analyst's methodology, and corroboration from secondary sources. Always pair it with human verification.

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Notes from the verification desk. What we're learning about reading places from pixels. Occasional, no noise.

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