lupoDharkael/flameshot

Greenshot is a Windows screen capture tool and productivity suite designed to capture screen regions, specific windows, or full displays as image files. It functions as an image annotation editor and external image uploader, allowing users to process visual assets before saving or sharing them. The project emphasizes automated workflows through the use of global hotkeys and command-line routing to send captured files to external applications. It supports high-resolution displays with specific scaling for high DPI screens to ensure visual consistency. The software provides capabilities for im

This project is a desktop screen capture and annotation utility designed for Linux environments. It provides an interactive graphical overlay that allows users to select specific screen regions, apply visual annotations such as shapes, text, and pixelation, and manage the resulting images through a configurable post-capture pipeline. The application distinguishes itself through deep system integration and automation capabilities. It operates as a persistent background daemon that monitors global hotkeys and supports inter-process communication via a system message bus, enabling users to trigg

ShareX is a desktop utility designed for screen capture, image annotation, and automated file sharing. It provides a comprehensive suite of tools for capturing screen regions, windows, or scrolling content, and includes a layered image editor that allows users to manipulate, scale, and transform graphical elements and annotations directly on captured media. The application distinguishes itself through an event-driven post-capture pipeline that triggers automated workflows, such as image processing, external command execution, or file uploads, immediately after a capture event. Users can exten

eSearch is a desktop tool that combines screen capture, image annotation, screen recording, optical character recognition (OCR), and text search and translation into a single application. It is built around a modular architecture that coordinates these tasks through an event-driven capture pipeline, allowing users to capture screen regions, annotate them with drawing and shape tools, and then extract text using a local-first OCR engine or optional cloud services. The project distinguishes itself by integrating a command-line interface for triggering capture and recognition tasks, enabling scr