Picarta

Picarta is an AI photo geolocation tool that predicts where an image was taken, helping you find GPS location, city, and country without EXIF data.

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AI photo location search

Picarta is an AI photo geolocation tool that predicts where an image was taken from its visual content. It is designed for finding the GPS location, city, and country behind a photo even when EXIF metadata or embedded location data is missing.

The product supports both a web interface and an API. On the web, users upload an image or paste a URL, then narrow the search by world, country, region, or a specific map area before reviewing predicted locations and confidence information.

Core capabilities

Photo geolocation search

Upload a photo or paste an image link, then let the AI predict where it was taken. The interface supports worldwide search as well as searches narrowed by country and region.

Map-based result review

Review predicted locations on a results list or on an interactive map. The site shows GPS coordinates, city, country, confidence scores, and a Google Maps link for each result.

Search narrowing controls

Focus the search by country, region, or a drawn area on the map. The API also accepts optional country, region, and bounded-area parameters, plus free-text context hints.

API access and code examples

Use the Python API for programmatic localization in batch jobs or app workflows. The API page also shows request examples in JavaScript, cURL, and shell.

Multiple prediction review

Inspect both text and map outputs to compare multiple candidate matches. The how-to guide recommends reviewing all predictions, not just the top result, before accepting a location.

Result details and export options

Access Google Maps links, camera details, latitude and longitude, and downloadable map views from the interface where available.

Common use cases

Verify an image location
Investigators and analysts can check where an unknown or context-free photo was taken by comparing the top predictions, map markers, and confidence scores.
Support visual fact-checking
Journalists can use Picarta to help place images in a story or confirm the likely setting of a submitted photo when metadata is unavailable.
Automate image geolocation
Developers can call the Python API to localize images inside an app, batch workflow, or internal tool instead of using only the website.
Search within a known area
Travelers and researchers can narrow a search to a country or region when they already have a clue about the scene, which helps focus the results.
Review and cross-check candidates
Users can compare several candidate matches on the map and then open Google Maps to inspect the surrounding location before drawing a conclusion.

Pros and Cons

Pros

Works without EXIF or embedded GPS data by analyzing visible image cues.
Supports both photo uploads and image URLs.
Lets users narrow searches by country, region, or a selected map area.
Provides GPS coordinates, city, country, confidence scores, and map-based review.
Includes a Python API plus examples for programmatic use.

Cons

Results are estimates, so accuracy depends on how distinctive the image is and users are encouraged to review multiple predictions.
Full result details require a registered account with available search credits.

FAQ

What image formats and inputs does Picarta support?

Picarta accepts either an uploaded photo or an image URL. The web guide says JPG, PNG, and WEBP are supported, and the API examples also show local files and URL-based inputs.

Can Picarta work without EXIF or GPS data?

Yes. The site says Picarta does not rely on EXIF metadata or embedded GPS tags, and can estimate a photo’s location from visual content alone.

What does Picarta return after a search?

The results shown on the site include predicted GPS coordinates, city, and country, and the web interface also exposes confidence scores and a map view for reviewing predictions.

How should I narrow a search for better results?

The site recommends using Search in a Country, then narrowing to a region or specific area when possible. The how-to guide also notes that a focused search area can improve accuracy.

Are unsuccessful searches charged?

No. The how-to guide says unsuccessful searches do not deduct credits, so you can try a broader or different search area if no match is found.

Quick Facts

Category: AI photo geolocation
Primary interfaces: Web app and API
Inputs: Uploaded images and image URLs
Outputs: Predicted GPS location, city, country, and confidence scores
Notable users: OSINT investigators, journalists, law enforcement, photographers, researchers, and travelers
Site: picarta.ai