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rexiv2 - Rust library for read/write access to media-file metadata (Exif, XMP, and IPTC)
This library provides a Rust wrapper around the gexiv2 library, which is a GObject-based wrapper around the Exiv2 library, which provides read and write access to the Exif, XMP, and IPTC metadata in media files (typically photos) in various formats. API documentation is available online.
digiKam is an advanced digital photo management application for KDE, which makes importing and organizing digital photos a snap. The photos can be organized in albums which can be sorted chronologically, by directory layout or by custom collections. It provides support to add tag, comment to your images.
A versatile tool that allows managing of metadata information in image files, taking advantage of that info to rotate, rename and do other operations to the files. It also combines XMP, IPTC and EXIF standards to provide a unified front of information.
Geeqie is a lightweight image viewer. It was forked from GQview. The development is focused on features for photo collection maintenance: raw format, Exif/IPTC/XMP metadata and integration with programs like UFraw, ImageMagick, Gimp, gPhoto or ExifTo The current development can be found on Gitouris (https://gitorious.org/geeqie)
With node-exif you can extract Exif metadata from images (JPEG). Exif is a format used, for example, by digital cameras and scanners to save additional information about an image in the image file. This information can be the camera model, resolution, where the image was taken (GPS) or when it was taken. Rodrigo Espinosa proposes the npm package exif-cli to execute node-exif from a shell.
Open-source and cross-platform picture manager and organizer with complete meta information support: add, edit, search and remove XMP, IPTC, EXIF and JPEG Comment. It also offers batch conversion/renaming of images and lossless rotation and cropping.
A Silverlight control that uses the Fotofly metadata library to show the people in a photo (using Windows Live Photo Gallery People metadata) and a map of the location (using Bing Maps Silverlight SDK).
Miscellaneous tools (small classes and functions) like data structures (heap, tree), calculations (max with infinite number of arguments), WinForms (controls, dialogs), WebForms (pager) etc. More advanced solutions like IPTC/Exif metadata; Win32 API wrappers or Total Commander pl
MMPython is a Media Meta Data retrieval framework. It retrieves metadata from mp3, ogg, avi, jpg, tiff and other file formats. Among others it thereby parses ID3v2, ID3v1, EXIF, IPTC and Vorbis data into an object oriented struture.
Gwenview is an image viewer for KDE. Gwenview can load and save all image formats supported by KDE. It can accurately control the way images are scaled. It supports image manipulations like rotation, mirroring, cropping, resizing and red eye reduction. When browsing JPEG images with EXIF information, Gwenview automatically rotates them according to the EXIF Orientation tag.
upload2flickr is a .net (C#) based application providing users with more options than those in Ludicorp's current Flickr Uploadr. In it's first iteration, it focuses on using metadata embedded in images (exif, iptc) to tag, describe, and title photos.
My Photo Index is a free open source photo organizer. It focuses on image tagging and cataloging and offers a clear & simple user friendly interface. My Photo Index handles major file types as well as Avi clips and can read and convert RAW image formats,
Image Tagger is a simple graphical application to allow the tagging of images. It currently allows you to set title, commands, and keywords in the IPTC / EXIF tags. It's not very polished, but it is pretty stable. It uses ExifTool for editing tags.
OpenExif is an object-oriented library for accessing Exif formated JPEG image files. The toolkit allows creating, reading, and modifying the metadata in the Exif file. It also provides means of getting and setting the main image and the thumbnail image.
The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG and WebP images of varying dimensions.Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings.
The Image Recognition and Processing Backend demonstrates how to use [AWS Step Functions] (https://aws.amazon.com/step-functions/) to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. This workflow processes photos uploaded to Amazon S3 and extracts metadata from the image such as geolocation, size/format, time, etc. It then uses image recognition to tag objects in the photo. In parallel, it also produces a thumbnail of the photo.This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources. There is also a test web app that you can run locally to interact with the backend.
The Image Recognition and Processing Backend demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. This workflow processes photos uploaded to Amazon S3 and extracts metadata from the image such as geolocation, size/format, time, etc. It then uses image recognition to tag objects in the photo. In parallel, it also produces a thumbnail of the photo. This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources. There is also a test web app that you can run locally to interact with the backend.