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GeoInfer Alternative

GeoInfer for law enforcement.
Oceanir for everyone who handles sensitive images.

GeoInfer is built for police, government, and security teams that need person-tracking capabilities. Oceanir is built for the people who handle sensitive images but are not law enforcement: journalists, legal teams, insurance investigators, and OSINT researchers. The difference is not just access. It is privacy architecture.

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

Who GeoInfer is for

Law enforcement, government, security teams

GeoInfer serves agencies that need to identify and track people across images. Police investigations, intelligence analysis, and government security operations rely on those capabilities. They do important work, and the tooling built for them should reflect their mandate.

Who Oceanir is for

People who handle sensitive images, but aren't law enforcement

Journalists protecting sources. Legal teams handling privileged material. Insurance investigators verifying claims. OSINT researchers working in the open. Corporate security teams investigating internal incidents. These users need location verification with privacy guarantees, not person-tracking.

Privacy architecture

Built for people who cannot afford a leak

GeoInfer and Oceanir both geolocate images. The difference is what happens to your data after the analysis runs. Oceanir was designed from the ground up for users whose sources, clients, or cases would be endangered by a data breach. These are the architectural guarantees, and why each one matters.

01AES-256-GCM per-user encryption at rest

Every uploaded image and every stored result is encrypted with a per-user key before it touches disk. No other tenant, and no administrator browsing the database, can read your analysis payload in plaintext.

Why it matters: For journalists protecting a source's identity, legal teams handling attorney-client privileged material, and corporate security teams investigating internal incidents, encryption at rest means a breach does not become a leak. Your evidence stays yours.

02100-meter coordinate rounding on every stored result

When a location estimate is saved, the latitude and longitude are rounded to the nearest 100 meters before persistence. The full-precision result is shown to you in the session, but the stored record carries only coarse coordinates.

Why it matters: Precise coordinates are a liability. If a stored pin leaked, it could expose exactly where a confidential source took a photo. Rounding to 100 meters preserves enough granularity to verify a location claim while preventing precise re-identification, supporting GDPR data-minimization principles.

0330-day automatic data cleanup

Stored analyses and their associated images are automatically deleted 30 days after creation. There is no indefinite retention, no archival cold storage, and no way to recover a record once the window closes.

Why it matters: Retention windows are a legal and operational risk multiplier. A journalist under subpoena, an insurance team closing a claim, or a legal team winding down a case does not want evidence lingering indefinitely. Automatic cleanup means the data simply stops existing, which is the strongest privacy guarantee a platform can offer.

04No bulk download or automated scraping

Oceanir does not expose endpoints for exporting all analyses, scraping result history, or programmatically harvesting location data at scale. The API is designed for single-image verification, not dataset extraction.

Why it matters: A tool that allows bulk export is a target. If an attacker, a rival firm, or a government actor could pull every analysis your team ever ran, the privacy of every source and every case would collapse. Rate limits and the absence of bulk endpoints make large-scale exfiltration structurally difficult.

05No face recognition, biometric identification, or people tracking

Oceanir analyzes the scene (buildings, roads, signs, terrain) and never the people in it. There is no facial recognition model, no biometric template extraction, and no capability to identify, match, or track individuals across images.

Why it matters: This is the line that separates a verification tool from a surveillance tool. For non-law-enforcement users, the absence of people-tracking is not a limitation. It is the guarantee that lets a journalist promise a source their face will never be indexed, that lets a legal team confirm the tool cannot inadvertently identify a witness, and that lets an insurance investigator use the platform without becoming a surveillance operator.

Honest fit

When GeoInfer is the right choice

If you are law enforcement, a government agency, or a licensed security team with a legitimate mandate to identify and track individuals, GeoInfer's person-tracking capabilities are purpose-built for that work. Oceanir does not offer facial recognition, biometric identification, or people tracking, and we do not intend to. If your investigation requires identifying who is in a photo rather than where it was taken, GeoInfer is the better fit.

When Oceanir is the right choice

If you need to verify where a photo was taken, and you need privacy guarantees that protect your sources, your clients, and your case material, Oceanir is built for you. No agency credentials required. No person-tracking. No indefinite data retention.

Journalists

Verify where a source's photo was taken without exposing the source. Encrypted at rest, coordinates rounded, data auto-deleted in 30 days.

Legal teams

Geolocation evidence for case files with attorney-client privilege protected by per-user encryption and no people-tracking capability.

Insurance investigators

Verify claim photos without becoming a surveillance operator. Scene-level location only, never identity.

OSINT researchers

Open-source location verification with no institutional gatekeeping. Sign up and start, no agency verification needed.

Verify a location. Protect your sources.

Upload an image and Oceanir reads the scene to estimate where it was taken. No GPS, no EXIF, no people tracking. Free to try.

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

Common questions

Yes, for anyone who is not law enforcement. GeoInfer is built for police, government, and security teams that need person-tracking and identification capabilities. Oceanir is built for journalists, legal teams, insurance investigators, and OSINT researchers who need to verify where a photo was taken, with privacy guarantees that protect sources and privileged material. Both geolocate images. They serve fundamentally different users.

No. Oceanir never identifies people. It reads the scene in a photo (architecture, signage, roads, terrain) to estimate where the image was taken. There is no face recognition, no biometric identification, and no people tracking at any depth tier. This is a deliberate product boundary, not a missing feature. If you need to identify or track individuals, Oceanir is the wrong tool.

Oceanir applies AES-256-GCM per-user encryption at rest, rounds every stored coordinate to 100 meters, automatically deletes data after 30 days, blocks bulk download and automated scraping, and performs no face recognition or biometric identification. Together these guarantees protect source identity, support GDPR compliance, and preserve attorney-client privilege for legal teams handling sensitive case material.

Yes. Oceanir is openly available to any professional. There is no agency verification, no law-enforcement credential check, and no institutional gatekeeping. Journalists, legal teams, insurance SIU units, corporate security teams, and independent OSINT researchers can sign up and start verifying image locations immediately. Pro starts at $39/month with no verification requirement.

Rounding stored coordinates to 100 meters means no precise GPS pin is ever retained, so a compromised account or subpoena cannot expose the exact location a source's photo was taken. Under GDPR, minimizing retained personal data is a core principle, and coordinate rounding is a concrete technical measure that reduces location data to the granularity needed for verification without creating a precise tracking record.

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