AI Photo Geolocation

https://geospy.ai/

GeoSpy Raven

GeoSpy was created by Graylark Technologies to determine where an image was captured using visual information alone. In April 2026, GeoSpy became Raven, Graylark’s frontline visual intelligence platform for law enforcement and government.

Same Graylark team. Same mission. Broader capabilities.

Raven Formerly GeoSpy/Image → Region → Street

Ranked leads/No metadata/Human review

§Official notice

The official GeoSpy transition

GeoSpy was created and operated by Graylark Technologies. GeoSpy.ai and Graylark.com are the official domains associated with GeoSpy and Raven. Third-party websites and applications using the GeoSpy name are not operated by or affiliated with Graylark.

Created by Graylark Technologies

GeoSpy and Raven are developed by the same Graylark team.

Official domains

GeoSpy.ai and Graylark.com. GeoSpy.ai now directs to this page.

Renamed in April 2026

GeoSpy became Raven as the platform expanded beyond regional image geolocation.

A new name / April 2026

Formerly GeoSpy

Now

Raven

§01Why the name changed

From image geolocation to frontline visual intelligence.

GeoSpy began with a focused mission: determine where an image was captured when metadata, landmarks, and other obvious clues were missing. As the platform expanded into street-level targeting, vehicle identification, image verification, and investigative workflows, the GeoSpy name no longer represented the full system.

Raven reflects what the product has become: a visual intelligence platform that helps investigators turn low-context imagery into ranked leads for human review.

For an introduction to GeoSpy and AI image geolocation, read GeoSpy 101: AI Image Geolocation, Explained. For the founder account of how GeoSpy started and why it became Raven, read Why We Built GeoSpy and Why It Became Raven. To see the platform as it stands today, explore Raven.

§02GeoSpy and Raven

What carried over, and what expanded.

Raven is built by the same Graylark team and visual-geolocation foundation. Everything GeoSpy was known for is still here, and Raven adds the layers investigators asked for next.

GeoSpy Formerly

Where the platform started.

  • Image geolocation
  • Regional location candidates
  • Visual location analysis
  • The original Graylark geolocation product

Raven Now

Where the platform is today.

  • Image and video-frame geolocation
  • Street-level and meter-level candidate locations
  • Vehicle make, model, generation, and year identification
  • Image manipulation and AI-generation detection
  • Case-oriented investigative workflows

§03Raven today

One frame. Multiple investigative leads.

The same frame can be run through each capability. Every one of them works from the visual content of the image, with no metadata required, and returns ranked candidates for human review rather than a single verdict.

Find Region narrowing a low-context photograph to ranked neighbourhoods around Austin, Texas

01Find Region

Start with almost nothing.

Returns ranked regional candidates for where a photograph or video frame was likely captured. No GPS or EXIF metadata is required.

One frame → ranked regions

Find Street resolving a broad search area to a confirmed street-level address

02Find Street

Go from region to street.

Narrows a selected search area to ranked street-level, property-level, or meter-level candidate locations for investigator review.

Region → precise candidates

Identify Car workspace showing a source image beside ten ranked vehicle candidates

03Identify Car

Make. Model. Generation. Year.

Returns ranked make, model, generation, and year candidates from partial, interior, obstructed, or exterior views of a vehicle.

Partial views accepted

Verify Image analysis flagging a portrait as AI-generated

04Verify ImageBeta

Real, manipulated, or AI-generated?

Assesses imagery for signs of AI generation, face swaps, and other manipulation, and returns those findings for further review.

Authenticity analysis

Each capability has its own breakdown on the Raven capabilities overview.

§04GeoSpy questions

Questions about GeoSpy.

What is the official GeoSpy website?

GeoSpy was created and operated by Graylark Technologies. GeoSpy.ai now directs users to Graylark.com/geospy, the official page explaining GeoSpy’s evolution into Raven.

Is GeoSpy now called Raven?

Yes. GeoSpy became Raven in April 2026 as the platform expanded beyond regional image geolocation into broader visual intelligence and investigative capabilities.

Who created GeoSpy?

GeoSpy was created by Graylark Technologies. Raven is developed by the same Graylark team.

Is GeoSpy AI still available?

The visual-geolocation capabilities associated with GeoSpy continue inside Raven. Raven is available to qualified law-enforcement, government, public-safety, intelligence, and enterprise organizations.

Does Raven still perform image geolocation?

Yes. Image geolocation remains a core Raven capability, alongside street targeting, vehicle identification, image verification, and case-oriented workflows.

Where can existing GeoSpy users sign in?

Existing users can access their workspace through the Raven sign-in page.

Questions about how Raven works, how its results should be read, or how to evaluate it? See the full Raven FAQ.

Looking for GeoSpy? You are in the right place.

Explore Raven’s expanded visual intelligence capabilities or request a demonstration for your organization.

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"title": "GeoSpy Is Now Raven | Official Site by Graylark",
"description": "GeoSpy →Raven GeoSpy was created by Graylark Technologies to determine where an image was captured using visual information alone. In April 2026, GeoSpy became Raven, Graylark’s...",
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"content": "<div>\n <div>\n <p><a target=\"_blank\" href=\"https://graylark.com/\">\n <img src=\"https://graylark.com/assets/img/graylark-logo.png\" alt=\"Graylark\" />\n </a></p>\n </div>\n <p><span>GeoSpy</span>\n <span>→</span><span>Raven</span>\n </p>\n <p>\n GeoSpy was created by Graylark Technologies to determine where an image was captured using visual information alone. In April 2026, GeoSpy became Raven, Graylark’s frontline visual intelligence platform for law enforcement and government.\n </p>\n <p>\n <span></span>\n Same Graylark team. Same mission. Broader capabilities.\n </p>\n <figure>\n <figcaption>\n <p><img src=\"https://graylark.com/assets/img/r_logo.png\" alt=\"Raven\" />\n <span>Formerly GeoSpy<span>/</span>Image → Region → Street</span>\n </p>\n <span>Ranked leads<span>/</span>No metadata<span>/</span>Human review</span>\n </figcaption>\n </figure>\n <section>\n <div>\n <p><span><span>§</span><span>Official notice</span></span>\n </p>\n <h2 id=\"official-h\">The official GeoSpy transition</h2>\n <p>\n GeoSpy was created and operated by Graylark Technologies. GeoSpy.ai and Graylark.com are the official domains associated with GeoSpy and Raven. Third-party websites and applications using the GeoSpy name are not operated by or affiliated with Graylark.\n </p>\n </div>\n <div>\n <div>\n <p><b>Created by Graylark Technologies</b></p><p>GeoSpy and Raven are developed by the same Graylark team.</p>\n </div>\n <div>\n <p><b>Official domains</b></p><p>GeoSpy.ai and Graylark.com. GeoSpy.ai now directs to this page.</p>\n </div>\n <div>\n <p><b>Renamed in April 2026</b></p><p>GeoSpy became Raven as the platform expanded beyond regional image geolocation.</p>\n </div>\n </div>\n </section>\n <div>\n <p><span></span>\n <span>A new name</span>\n <span>/</span>\n <span>April 2026</span>\n </p>\n <article>\n <div>\n <p><span>Formerly</span>\n <img src=\"https://graylark.com/assets/img/geospy-wordmark.png\" alt=\"GeoSpy\" />\n </p>\n <div>\n <p><span>\n <span></span>Now\n </span></p><p><img src=\"https://graylark.com/assets/img/small.png\" />\n <span>Raven</span>\n </p>\n </div>\n </div>\n </article>\n </div>\n <section>\n <p><span><span>§</span><span>01</span><span>Why the name changed</span></span>\n </p>\n <h2>From image geolocation to frontline visual intelligence.</h2>\n <p>\n GeoSpy began with a focused mission: determine where an image was captured when metadata, landmarks, and other obvious clues were missing. As the platform expanded into street-level targeting, vehicle identification, image verification, and investigative workflows, the GeoSpy name no longer represented the full system.\n </p>\n <p>\n Raven reflects what the product has become: a visual intelligence platform that helps investigators turn low-context imagery into ranked leads for human review.\n </p>\n <p>\n For an introduction to GeoSpy and AI image geolocation, read <a target=\"_blank\" href=\"https://graylark.com/articles/geospy-101-ai-visual-geolocation\">GeoSpy 101: AI Image Geolocation, Explained</a>. For the founder account of how GeoSpy started and why it became Raven, read <a target=\"_blank\" href=\"https://graylark.com/articles/why-we-built-geospy\">Why We Built GeoSpy and Why It Became Raven</a>. To see the platform as it stands today, <a target=\"_blank\" href=\"https://graylark.com/raven\">explore Raven</a>.\n </p>\n </section>\n <section>\n <p><span><span>§</span><span>02</span><span>GeoSpy and Raven</span></span>\n </p>\n <h2>What carried over, and what expanded.</h2>\n <p>\n Raven is built by the same Graylark team and visual-geolocation foundation. Everything GeoSpy was known for is still here, and Raven adds the layers investigators asked for next.\n </p>\n <div>\n <div>\n <p>\n GeoSpy\n <span>Formerly</span>\n </p>\n <p>Where the platform started.</p>\n <ul>\n <li>\n <span>Image geolocation</span>\n </li>\n <li>\n <span>Regional location candidates</span>\n </li>\n <li>\n <span>Visual location analysis</span>\n </li>\n <li>\n <span>The original Graylark geolocation product</span>\n </li>\n </ul>\n </div>\n <div>\n <p>\n Raven\n <span>Now</span>\n </p>\n <p>Where the platform is today.</p>\n <ul>\n <li>\n <span>Image and video-frame geolocation</span>\n </li>\n <li>\n <span>Street-level and meter-level candidate locations</span>\n </li>\n <li>\n <span>Vehicle make, model, generation, and year identification</span>\n </li>\n <li>\n <span>Image manipulation and AI-generation detection</span>\n </li>\n <li>\n <span>Case-oriented investigative workflows</span>\n </li>\n </ul>\n </div>\n </div>\n </section>\n <section>\n <p><span><span>§</span><span>03</span><span>Raven today</span></span>\n </p>\n <h2>One frame. Multiple investigative leads.</h2>\n <p>\n The same frame can be run through each capability. Every one of them works from the visual content of the image, with no metadata required, and returns ranked candidates for human review rather than a single verdict.\n </p>\n <div>\n <a target=\"_blank\" href=\"https://graylark.com/raven/capabilities/find-region/\">\n <div>\n <picture>\n <source srcset=\"https://graylark.com/assets/img/raven-geoest-result.webp\" type=\"image/webp\"></source>\n <img src=\"https://graylark.com/assets/img/raven-geoest-result.png\" alt=\"Find Region narrowing a low-context photograph to ranked neighbourhoods around Austin, Texas\" />\n </picture>\n </div>\n <div>\n <p><span>01</span><span>Find Region</span></p>\n <h3>Start with almost nothing.</h3>\n <p>Returns ranked regional candidates for where a photograph or video frame was likely captured. No GPS or EXIF metadata is required.</p>\n <p><span>One frame → ranked regions</span></p>\n </div>\n </a>\n <a target=\"_blank\" href=\"https://graylark.com/raven/capabilities/find-street/\">\n <div>\n <picture>\n <source srcset=\"https://graylark.com/assets/img/raven-street-vegas.webp\" type=\"image/webp\"></source>\n <img src=\"https://graylark.com/assets/img/raven-street-vegas.png\" alt=\"Find Street resolving a broad search area to a confirmed street-level address\" />\n </picture>\n </div>\n <div>\n <p><span>02</span><span>Find Street</span></p>\n <h3>Go from region to street.</h3>\n <p>Narrows a selected search area to ranked street-level, property-level, or meter-level candidate locations for investigator review.</p>\n <p><span>Region → precise candidates</span></p>\n </div>\n </a>\n <a target=\"_blank\" href=\"https://graylark.com/raven/capabilities/identify-car/\">\n <div>\n <picture>\n <source srcset=\"https://graylark.com/assets/img/raven-carid-workspace.webp\" type=\"image/webp\"></source>\n <img src=\"https://graylark.com/assets/img/raven-carid-workspace.png\" alt=\"Identify Car workspace showing a source image beside ten ranked vehicle candidates\" />\n </picture>\n </div>\n <div>\n <p><span>03</span><span>Identify Car</span></p>\n <h3>Make. Model. Generation. Year.</h3>\n <p>Returns ranked make, model, generation, and year candidates from partial, interior, obstructed, or exterior views of a vehicle.</p>\n <p><span>Partial views accepted</span></p>\n </div>\n </a>\n <a target=\"_blank\" href=\"https://graylark.com/raven/capabilities/verify-image/\">\n <p><img src=\"https://graylark.com/assets/img/raven-deepfake-input.png\" alt=\"Verify Image analysis flagging a portrait as AI-generated\" />\n </p>\n <div>\n <p><span>04</span><span>Verify Image</span><span>Beta</span></p>\n <h3>Real, manipulated, or AI-generated?</h3>\n <p>Assesses imagery for signs of AI generation, face swaps, and other manipulation, and returns those findings for further review.</p>\n <p><span>Authenticity analysis</span></p>\n </div>\n </a>\n </div>\n <p>\n Each capability has its own breakdown on the <a target=\"_blank\" href=\"https://graylark.com/raven/capabilities/\">Raven capabilities overview</a>.\n </p>\n </section>\n <section>\n <p><span><span>§</span><span>04</span><span>GeoSpy questions</span></span>\n </p>\n <h2 id=\"faq-h\">Questions about GeoSpy.</h2>\n <div>\n <details>\n <summary>\n <h3>What is the official GeoSpy website?</h3>\n </summary>\n <p>\n GeoSpy was created and operated by Graylark Technologies. GeoSpy.ai now directs users to Graylark.com/geospy, the official page explaining GeoSpy’s evolution into Raven.\n </p>\n </details>\n <details>\n <summary>\n <h3>Is GeoSpy now called Raven?</h3>\n </summary>\n <p>\n Yes. GeoSpy became Raven in April 2026 as the platform expanded beyond regional image geolocation into broader visual intelligence and investigative capabilities.\n </p>\n </details>\n <details>\n <summary>\n <h3>Who created GeoSpy?</h3>\n </summary>\n <p>\n GeoSpy was created by Graylark Technologies. Raven is developed by the same Graylark team.\n </p>\n </details>\n <details>\n <summary>\n <h3>Is GeoSpy AI still available?</h3>\n </summary>\n <p>\n The visual-geolocation capabilities associated with GeoSpy continue inside Raven. Raven is available to qualified law-enforcement, government, public-safety, intelligence, and enterprise organizations.\n </p>\n </details>\n <details>\n <summary>\n <h3>Does Raven still perform image geolocation?</h3>\n </summary>\n <p>\n Yes. Image geolocation remains a core Raven capability, alongside street targeting, vehicle identification, image verification, and case-oriented workflows.\n </p>\n </details>\n <details>\n <summary>\n <h3>Where can existing GeoSpy users sign in?</h3>\n </summary>\n <p>\n Existing users can access their workspace through the <a target=\"_blank\" href=\"https://app.withraven.ai/login\">Raven sign-in page</a>.\n </p>\n </details>\n </div>\n <p>\n Questions about how Raven works, how its results should be read, or how to evaluate it? See the <a target=\"_blank\" href=\"https://graylark.com/raven/faq\">full Raven FAQ</a>.\n </p>\n </section>\n <div>\n <h2>Looking for GeoSpy? You are in the right place.</h2>\n <p>Explore Raven’s expanded visual intelligence capabilities or request a demonstration for your organization.</p>\n </div>\n</div>",
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