Find Street

Find the street, building, or address.

Choose a region and upload a photo. Raven ranks street-level candidates with meter-level accuracy. No street sign, house number, or metadata required.

Available to verified agencies. Demo on request.

The example photo: a dark sedan parked on a palm-lined residential street, with no house number or street sign in view
  1. 01Start with a single photo. No house number, street sign, or metadata.
  2. 02Raven reads the whole scene, not just the car: its architecture and vegetation.
  3. 03Find Street searches inside a region you select. Here, Las Vegas.
  4. 04It compares the scene across that region and ranks ten street-level candidates.
  5. 05Meter-level: a specific building, not a neighborhood.
  6. 06Each candidate is a lead to review. Here the investigator confirmed the top match.

Illustration. The neighborhood is procedural; the address and rank are from the result below.

The result, in Raven.

Find Street ranked ten candidates inside Las Vegas. The investigator reviewed them and confirmed the top one: 8982 Lillyhammer Court.

Raven Find Street result in Las Vegas: ten ranked candidates on a 3D street map, with the top match, 8982 Lillyhammer Court, marked Confirmed
Example result: ten ranked candidates, the top one confirmed by the investigator. The other candidates’ addresses are blurred. Until reviewed, candidates are investigative leads, not confirmed locations.

What you get back.

A ranked list for investigator review. Raven presents candidates, not one automatic answer.

Address
The street-level location of each candidate.
Coordinates
A latitude and longitude point for each candidate.
Similarity score
Orders candidates against one another. It is not a probability that an address is correct.
Review state
Confirmed, possible, or dismissed, recorded by the investigator for each candidate.

Start from a region.

Find Street searches inside a region you select. When the location is unknown, Find Region suggests likely areas first, and its result opens the street-level candidates for that area.

Explore Find Region
Raven Find Region result detail: Las Vegas, Nevada at 96 percent similarity, 3 of 5 results in this region, an approximate 15-mile radius, and a View 10 street-level results button
The same photo in Find Region: Las Vegas first, then ten street-level results.

Powered by Graylark's proprietary computer-vision models.

Common questions.

How is Find Street different from Find Region?

Find Region returns broad candidate areas with an approximate radius. Find Street searches within a selected region and returns ranked locations with meter-level accuracy.

What does meter-level accuracy mean?

Meter-level accuracy means Find Street can resolve an image to a specific street, building, or address rather than only identifying a city or neighborhood.

Does the image need a street sign or house number?

No. Find Street works from the visible scene and does not require readable text, a visible address, EXIF, or GPS metadata.

Does Find Street require a search region?

Yes. Investigators select a supported region before running the search. If the location is completely unknown, Find Region can be used first to identify likely areas.

How are results presented?

Find Street returns ranked candidate locations with addresses, coordinates, similarity scores, and review states. An investigator confirms, marks as possible, or dismisses each candidate.

How fast is it?

Candidates are returned in seconds. Investigator confirmation time varies by image and case. In the Superbolt example, the photograph was resolved to a confirmed address in approximately 20 minutes.

For the bigger picture, read our guide to image geolocation, from broad regional inference down to street- and meter-level results. See the workflow from photograph to lead in Image Geolocation for Law Enforcement, and a photograph surfaced by an email lookup compared at street level in OSINT Tools for Law Enforcement.

See Find Street in Raven.

Book a walkthrough with your team. Raven is available to verified agencies and investigative teams.