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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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Docker No 
Google Photos No 

Integrations

Docker Yes 
Google Photos Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Thibault Deckers

Website

github.com/deckerst/aves

Vendor Details

Company Name

LibrePhotos

Website

docs.librephotos.com

Product Features

Product Features

Alternatives

Alternatives

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