Search Results for "backend"

...The application emphasizes simplicity and minimalism, featuring a clean interface built with plain HTML, CSS, and JavaScript without requiring complex build steps or frameworks. Its backend is implemented in a compact Python Flask application, making it easy to deploy and customize. Users can paste multiple URLs at once, select output formats such as MP4 or MP3, and choose quality settings before downloading. The system also includes features like automatic URL deduplication and batch processing to improve usability.

Qualityscaler is a Windows app that uses BSRGAN Artificial Intelligence to enhance, enlarge and reduce noise in photographs and videos. QualityScaler is completely written in Python, from the backend to the front end. Image/list of images upscale. Video upscale. Drag&drop files [image / multiple images/video] Automatic image tiling and merging to avoid gpu VRAM limitation. Resize image/video before upscaling. Multiple Gpu support. Compatible images - png, jpeg, bmp, webp, tif. Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt.

...It supports operations such as transcoding, filtering, and stream manipulation while maintaining compatibility with FFmpeg’s underlying capabilities. typed-ffmpeg is particularly useful in large-scale applications where maintainability and type safety are important. It integrates well with modern JavaScript and Node.js ecosystems, enabling seamless backend media processing. Overall, it simplifies FFmpeg usage while preserving flexibility and control.

cloud-morph is a cloud-based media processing service that enables real-time video and audio transformation using FFmpeg in scalable environments. It is designed to run as a backend service that processes media streams or files and applies transformations such as transcoding, filtering, and format conversion. The system supports API-driven workflows, allowing integration into web applications or automation pipelines. It leverages containerization and distributed architecture to handle workloads efficiently across multiple nodes. cloud-morph focuses on flexibility, enabling users to define custom processing pipelines for different media scenarios. ...

A modern, simple to use, constantly evolving and hella fast MEDIA CUTTER + JOINER w/ frame-accurate SmartCut technology + Qt5, libmpv, FFmpeg and MediaInfo powering the backend.

motionEyeOS is a Linux distribution that turns a single-board computer into a video surveillance system. The OS is based on BuildRoot and uses motion as a backend and motionEye for the frontend. Compatible with most USB cameras as well as with the Raspberry PI camera module. Motion detection with email notifications and working schedule. JPEG files for still images, AVI files for videos. Connects to your local network using ethernet or wifi. File storage on SD card, USB drive or network SMB share. ...

Green Recorder is a desktop screen recording application designed for Linux systems, providing a simple interface for capturing screen activity and audio. It supports recording in multiple formats by leveraging FFmpeg and other backend tools to encode output efficiently. The application allows users to record full screens or specific areas, making it suitable for tutorials and demonstrations. It includes options for selecting audio sources and controlling frame rates to balance quality and performance. green-recorder is designed to be lightweight and user-friendly, minimizing system overhead during recording sessions. ...

Python application to scan DataMatrix barcodes using webcam. Uses libdmtx as backend decoder and pyGTK for display. Intended as a conference badge scanning application, but flexible enough to allow other applications.

Elucidation is a Python module designed to be an extremely powerful backend for audio and video converters. The aim of the module is to do all the heavy lifting while applications using it are little more than interfaces to it.

Freevo is an open source HTPC media centre integrating PVR / DVR funtionality along with music, video, gaming, home automation and more. It is written in python and uses existing popular software such as mplayer, xine and vlc.

Database-driven converter based on ffmpeg.

...Users first provide a media URL, then select format, quality, and container before processing the file. It includes both a web interface built with Next.js and a Telegram bot that offers the same guided experience through chat. Both share a common backend in a monorepo structure. The system is fully self-hosted and designed to run in a single Docker deployment including both web and bot services. Users can download videos and audio in formats such as MP4, WebM, MKV, MP3, and M4A, with server-side processing and progress tracking.