GEOSearcher

MetaMirror

About this app

Make every photo a navigation tool.

This is a smart tool that uses AI scene recognition technology to infer the location where a photo was taken and display it on a map.

Simply import or take a photo, and the app can identify landmarks, architectural styles, natural landscapes, and urban elements in the image, and based on this, infer the possible location of the photo.

Whether it's travel memories, photographic works, or organizing old photo albums, this app can help you rediscover those moments that time has forgotten.

Main Features

Intelligent Scene Recognition: Identifies landmarks, buildings, natural elements, and urban features.

Location Inference: Generates a range of possible locations based on recognition results and visual features.

Map Presentation: Visually displays candidate locations on the built-in map for easy comparison.

Multi-Image Comparison: Supports recognition of multiple photos of the same location, increasing confidence.

Privacy-Friendly: Requires no access to the photo album or device location; analysis is based solely on image content.

Target Audience

Users who want to reminisce about their travel photography or explore city stories.

Documenters who organize historical photos and mark shooting locations.

Content creators, photographers, and social media workers.

Explorers interested in geography, culture, architecture, or natural landscapes.

Tips

Location inference results are affected by photo sharpness, lighting, and scene complexity.

It is recommended to select photos containing landmarks or obvious environmental features for better results.

In-App Purchases
Optional upgrades for faster recognition speeds, higher priority processing queues, and multi-image comparison functionality.

Terms and Privacy Policy

User Agreement: https://blackmeta-tech.github.io/aivisual/terms.html

Privacy Policy: https://blackmeta-tech.github.io/aivisual/privacy.html

What’s new

通过 Ai 智能场景识别，自动推断可能的拍摄地点，并在地图中直观呈现。轻松回忆照片背后的故事，无论是旅行、创作还是日常拍摄，都能发现更多细节。