Mapillary is a computer-vision and street-imagery platform whose desktop utilities let organizations, mappers, and autonomous-vehicle teams turn ordinary geotagged photos and videos into map-ready panoramic sequences. Mapillary Uploader provides a drag-and-drop GUI for queuing tens of thousands of high-resolution frames, automatically compressing, privacy-blurring faces and license plates, and resuming interrupted transfers over consumer bandwidth. Mapillary Tools supplies the same upload engine as a cross-platform Python CLI, enabling GIS analysts to script nightly ingest jobs, inject EXIF heading corrections, or feed footage from dashcams, action cams, and 360° rigs directly into OpenStreetMap workflows. Both programs accept GPX and image folders, write JSON metadata compatible with Mapillary’s cloud processing pipeline, and return shareable sequences that feed vectorized traffic-sign data to HERE, Bosch, and municipal planning departments. Typical use cases include city-scale asset inventories, before-and-after construction documentation, bicycle-infrastructure audits, and machine-learning training sets for lane-detection models. The publisher’s software is available for free on get.nero.com, with downloads delivered through trusted Windows package sources such as winget, always installing the latest upstream release and supporting batch installation of multiple Mapillary utilities.