Mapillary

Mapillary

Street-level imagery

20 ratings
45 reviews
Free

Details

  • Released
  • Updated
  • November 22, 2013
  • May 18, 2026
Mapillary screenshot #1 for iPhone
Mapillary screenshot #2 for iPhone
Mapillary screenshot #3 for iPhone
Mapillary screenshot #4 for iPhone
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About

This platform allows anyone to capture and contribute street-level imagery from any location using any camera. It combines these images into a collaborative, navigable view of the world, enhanced by computer vision for smoother viewing and automated data extraction. The collected data can be used to improve maps, cities, and mobility.

Capture street-level imagery with any camera
Collaborative global street-level view
Computer vision for data extraction
Privacy blurring of faces and license plates
Access and explore millions of images
Integrates with mapping tools
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What's New in Mapillary

6.11.1

May 18, 2026

- Fixed bug where the recorded compass angle could be 90 degrees off on iOS 26.x

User reviews

Can’t stop and resume uploads - bad design

With huge uploads the are trying to encourage why wouldn’t they at least try to allow some sort of pausing and resuming. Terrible waste of bandwidth to start a large upload, lose a little coverage and have to start over every time.

A lot of capabilities in a simple mobile app

Mapillary has made mapping for OpenStreetMap so much easier, with such little barrier to entry. All I do is launch the app and boom I can record streets, roads, and paths in record time. My only complaint is not being able to continue uploads in the background, now that iOS 26 supports that kind of task. Other than that though, the app is super handy and the Mapillary integration into all my tools is a great asset.
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Love the improvements over the past year.

Much less crashes now.

Response from developer

Thank you so much for your feedback, we're glad to hear the Mapillary app is working well for you - and thank you for being a part of the Mapillary community!

Getting better

The 6/20/2024 refresh is a bit more attractive than the previous release.

The Mapillary Missions have gone away. Too bad but they never seemed fully implemented.

The x button to exit some screens seems a bit more reliable.

Still hoping for the ability to start/stop recording by clicking the volume button rather than tapping an on-screen button.

Note: The 6/20 refresh kept crashing when it first appeared on my iPhone. I had to delete, reinstall, and login again. Since then it’s been stable.
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Good, I guess

Reinstalling the app fixed the issue, review updated

Original:
main issue rn is it looks like the profile screen UI got updated and whenever I try to view it, it flashes for a second with all the data still loading and then it just crashes

Response from developer

Hi Justin, could you try uninstalling the app and then re-installing it from the app store? If that fixes the issue we would appreciated an updated review and rating. If not, could you please email us at support@mapillary.zendesk.com with what iPhone you are using?

FAQ

What is Mapillary?

Mapillary is a street-level imagery platform that uses collaboration, cameras, and computer vision to scale and automate mapping. It allows anyone to capture images of any place and combines them into a collaborative, navigable street-level view of the world.

How can I contribute to Mapillary?

You can contribute by capturing images of any place with any camera, including smartphones, using the Mapillary mobile app. These images are then combined into the platform's collaborative street-level view.

Is Mapillary free to use?

Yes, the application is free to use. The description indicates no in-app purchases or ads, suggesting a free monetization model.

What kind of data can be extracted from Mapillary?

Mapillary uses computer vision technology to extract map data from the collected imagery. This machine-extracted data can be used to add details to maps and geospatial datasets.

How does Mapillary ensure privacy?

Mapillary's technology automatically blurs faces and license plates in the captured images to protect user privacy before they are added to the public dataset.