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Description
Aves is capable of processing a wide variety of image and video formats, from standard JPEGs and MP4s to more unique types like multi-page TIFFs, SVGs, and older AVIs. It meticulously scans your media library to detect motion photos, panoramas—also known as photo spheres—360° videos, and GeoTIFF files. An essential aspect of Aves is its navigation and search functionality, aimed at providing users with a seamless experience as they move between albums, photos, tags, and maps. The app is designed to integrate smoothly with Android devices, supporting versions from API 19 to 33, which encompasses releases from KitKat to Android 13, and includes features like widgets, app shortcuts, screen savers, and global search capabilities. Additionally, Aves functions as a media viewer and picker, ensuring that it only accesses media files while requiring explicit user permission for any modifications. It is also crucial for the app to display media coordinates and organize them by country through reverse geocoding. Furthermore, Aves monitors connection states to intelligently adjust its features and maintain functionality even when internet access is limited. This careful attention to user experience and adaptability sets Aves apart in the realm of media management.
Description
LibrePhotos is a self-hosted alternative to Google Photos, emphasizing impressive graphical representations, and is a fork of Ownphotos. This open-source photo management platform features a Django backend and a React frontend, allowing for easy installation guided by detailed documentation. It supports a variety of photo formats, including raw images and videos, and provides a timeline view along with multiuser capabilities. Users can create albums based on specific events such as "Thursday in Berlin," and utilize advanced features like face recognition, face classification, reverse geocoding, object and scene detection, as well as semantic image search and metadata-based search functionalities. For optimal performance, a system with an x86 processor and at least 8GB of RAM is recommended, while a minimum of 10GB of HDD space is necessary to accommodate Docker images and machine learning models. Additionally, the system generates a database and thumbnails requiring further storage, and it operates with distinct backend and frontend servers for enhanced efficiency. This setup allows users to manage their photo collections effectively while enjoying rich analytical insights.
API Access
Has API
API Access
Has API
Integrations
Docker
Google Photos
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Thibault Deckers
Website
github.com/deckerst/aves
Vendor Details
Company Name
LibrePhotos
Website
docs.librephotos.com