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The demo runs in the browser with no account required, so a photo can be tested before any payment. Pro and institutional access are arranged with the team rather than self-served.
Learn moreFind where any photo was taken from pixels alone, no EXIF needed

GeoInfer is an image analysis tool that finds where any photo was taken from pixels alone, no EXIF needed. GeoInfer geolocates photos from visual cues alone, ignoring EXIF and GPS entirely.
GeoInfer is an AI image geolocation service that estimates where a photograph was taken using only what is visible inside the frame. It discards the file header on upload and never parses GPS or EXIF fields, so stripped, spoofed or absent metadata makes no difference to the result. The model reads architecture, vegetation, infrastructure, terrain and building materials across the whole image, then returns a country, region and city, with street level answers where the scene is distinctive enough. Each prediction ships with a confidence radius, and typical answers arrive in under a second. The design suits people who need location verification without a paper trail of metadata: forensic analysts, insurance claims investigators, journalists authenticating source material, security teams operating in environments where GPS is jammed or blocked, and geography enthusiasts who want to check their own eye for visual cues. Because the analysis stays inside the image, it also handles photos that were never posted online and scenes in remote areas where Street View coverage does not exist. Aerial and UAV imagery is supported on the Pro tier. Accuracy is published as a full curve rather than a headline figure, measured on the IM2GPS3k benchmark. Country level sits at 93.3 percent, region at 78.93 percent and city at 61.20 percent, while exact street placement drops to 12.2 percent. The practical workflow is to narrow to the right region quickly and then verify by hand, which is how the vendor frames it too. A separate agentic search mode that cross-references outside sources is listed as coming soon, and the current product is deliberately pixels only. Compared with metadata extractors and manual OSINT image work, GeoInfer automates the cue reading step and scales it through batch processing and a REST API. Institutional buyers can request zero-retention handling, on-premise or air-gapped deployment and audit trails. A Chrome extension pushes coordinates and a mini map into GeoGuessr rounds.
The demo runs in the browser with no account required, so a photo can be tested before any payment. Pro and institutional access are arranged with the team rather than self-served.
Learn moreThe homepage does not publish full tier pricing. A browser demo runs without an account, community API access is credit-based with top-ups starting at $4.99, and Pro or institutional licensing (meter level precision, on-premise, air-gapped) is arranged through the sales contact.
Learn moreQuestions go to contact@geoinfer.com, and institutional buyers can discuss custom data handling agreements and deployment options. The site also carries an FAQ and a contact form. No live chat or phone support is described.
Learn moreA RESTful API connects predictions to investigation or compliance pipelines, with batch processing for large image sets. A Chrome extension brings the model into GeoGuessr rounds. No other named third party integrations are listed on the homepage.
Learn moreVisual-only geolocation that ignores EXIF and GPS, returning country, region and city with a confidence radius in under a second. Five cue families are scored per image: architecture, vegetation, infrastructure, terrain and light, and masonry. Batch processing and a REST API are included, alongside zero-retention handling, AES-256 encryption, audit trails and on-premise or air-gapped deployment options.
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