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21 repositorios

Awesome GitHub RepositoriesMultimedia Processing

Tools for constructing media-handling pipelines and real-time streaming.

Explore 21 awesome GitHub repositories matching graphics & multimedia · Multimedia Processing. Refine with filters or upvote what's useful.

Awesome Multimedia Processing GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • harry0703/moneyprinterturboAvatar de harry0703

    harry0703/MoneyPrinterTurbo

    88,651Ver en GitHub↗

    MoneyPrinterTurbo is an automated video generation tool that synthesizes scripts, voiceovers, subtitles, and background music into finished video files. It functions as a command-line engine that orchestrates the entire content creation pipeline, handling the assembly of media assets through automated processing. The project distinguishes itself by providing a browser-based interface for managing generation parameters and monitoring batch production tasks. It utilizes a modular pipeline that chains together distinct services for script generation and voice synthesis, while relying on a multim

    Utilizes multimedia frameworks to handle video encoding, audio mixing, and subtitle overlaying.

    Pythonaiautomationchatgpt
    Ver en GitHub↗88,651
  • fffaraz/awesome-cppAvatar de fffaraz

    fffaraz/awesome-cpp

    71,817Ver en GitHub↗

    This project is a comprehensive, curated directory of high-quality libraries, tools, and educational resources for C and C++ development. It serves as an ecosystem discovery index, helping developers navigate the vast landscape of third-party components, frameworks, and technical documentation available for the language. The collection is distinguished by its focus on high-performance systems programming and technical mastery. It provides deep coverage of specialized domains including SIMD-accelerated data processing, compile-time template metaprogramming, and asynchronous event-driven archit

    Construct media-handling pipelines and real-time streaming applications with specialized multimedia frameworks.

    awesomeawesome-listc
    Ver en GitHub↗71,817
  • opencut-app/opencutAvatar de OpenCut-app

    OpenCut-app/OpenCut

    55,840Ver en GitHub↗

    OpenCut is an open-source, non-linear video editor designed for professional-grade media production. It functions as a standalone desktop multimedia suite that provides a comprehensive workspace for importing, arranging, trimming, and manipulating video and audio clips on a multi-track timeline. The application distinguishes itself through a non-destructive editing workflow, where all modifications are stored as metadata references to preserve the integrity of original source files. It leverages a cross-platform graphics abstraction to maintain consistent visual output across different hardwa

    Uses a command-line multimedia framework to perform heavy lifting for video transcoding, filtering, and format conversion tasks.

    TypeScripteditorossvideoeditor
    Ver en GitHub↗55,840
  • vsouza/awesome-iosAvatar de vsouza

    vsouza/awesome-ios

    52,496Ver en GitHub↗

    This project is a community-driven directory of software resources, libraries, and tools designed to support iOS application development. It serves as a centralized reference point for developers, organizing a vast ecosystem of third-party components into a searchable, structured index to facilitate discovery and project integration. The repository distinguishes itself through its collaborative curation model, which aggregates disparate utilities into a single, maintainable catalog. By leveraging a flat-file documentation structure, it provides a clear overview of the tools available for nati

    Converts, transcodes, and manipulates media files to support various formats and processing workflows.

    Swiftapple-swiftarkitawesome
    Ver en GitHub↗52,496
  • dkhamsing/open-source-ios-appsAvatar de dkhamsing

    dkhamsing/open-source-ios-apps

    50,744Ver en GitHub↗

    This project is a comprehensive directory of open-source iOS applications designed to serve as a technical reference for developers and learners. It functions as a curated index of mobile software, categorizing projects by their functionality, implementation language, and architectural design to provide a clear view of how professional applications are structured. The repository distinguishes itself by offering a deep dive into mobile app architecture, allowing users to study real-world codebases that utilize patterns such as Model-View-ViewModel, VIPER, and Clean Architecture. It highlights

    Provides utilities for processing and manipulating various media formats.

    appappleapple-tv
    Ver en GitHub↗50,744
  • mifi/lossless-cutAvatar de mifi

    mifi/lossless-cut

    41,364Ver en GitHub↗

    LosslessCut is a desktop application designed for the precise editing of video and audio files without re-encoding the underlying media streams. By performing stream copying and container remuxing, the software allows users to cut, merge, and rearrange media segments while maintaining the original bit-perfect quality of the source content. The application distinguishes itself by utilizing a stream-copying data pipeline that transfers raw media packets directly from source to destination, significantly reducing processing time compared to traditional transcoding workflows. It also functions as

    Executes low-level media manipulation by piping commands to a bundled command-line utility.

    TypeScriptcodeccuteditor
    Ver en GitHub↗41,364
  • aseprite/asepriteAvatar de aseprite

    aseprite/aseprite

    37,521Ver en GitHub↗

    Aseprite is a specialized graphics editor and animation suite designed for the creation of pixel-based artwork. It provides a comprehensive environment for managing multi-layered animation sequences, offering tools for frame-by-frame design, onion skinning, and real-time motion previews. The application is built to handle both indexed color palettes and full-color RGB editing, allowing users to maintain precise control over pixel data and transparency. What distinguishes Aseprite is its focus on programmable workflows and game asset production. It features a scriptable command architecture th

    Aseprite enables preserving all layers, frames, tags, and metadata in native file formats or exporting to common image formats for external use.

    C++animated-spritesanimationaseprite
    Ver en GitHub↗37,521
  • alebcay/awesome-shellAvatar de alebcay

    alebcay/awesome-shell

    37,110Ver en GitHub↗

    This project is a community-driven directory that serves as a comprehensive index of command-line tools, frameworks, and resources. It functions as a curated knowledge base designed to help users discover software for enhancing terminal environments and streamlining daily development tasks. The collection is maintained through an open-source contribution model, where community members manually verify and organize resources into structured categories. This collaborative approach ensures the directory remains a reliable reference for finding specialized utilities, alternative shell implementati

    Documents tools for handling various multimedia and file formats.

    awesomeawesome-listbash
    Ver en GitHub↗37,110
  • dokploy/dokployAvatar de Dokploy

    Dokploy/dokploy

    34,901Ver en GitHub↗

    Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup

    Transforms media and document formats automatically.

    TypeScriptbackendbackupsdatabases
    Ver en GitHub↗34,901
  • iperov/deepfaceliveAvatar de iperov

    iperov/DeepFaceLive

    30,536Ver en GitHub↗

    DeepFaceLive is a desktop application designed for real-time facial replacement and animation within live video streams. By utilizing deep learning models, the software performs high-speed identity mapping and facial feature analysis to transform video content as it is captured. The engine relies on GPU-accelerated inference to execute these complex image manipulation tasks at interactive frame rates. The application distinguishes itself through a modular video processing pipeline that chains specialized tasks to maintain high throughput and low latency. It features a virtual camera streaming

    Builds efficient pipelines to handle complex image manipulation tasks with low latency.

    Pythondeepfakefaceswapmachine-learning
    Ver en GitHub↗30,536
  • junkfood02/sealAvatar de JunkFood02

    JunkFood02/Seal

    26,953Ver en GitHub↗

    Seal is a mobile application designed to retrieve video and audio content from various online platforms. It functions as a graphical interface that manages background transfer processes, allowing users to download and archive media files directly to their local device storage for offline access. The application distinguishes itself by acting as a bridge to powerful command-line utilities, orchestrating these external binaries to handle complex media extraction and file conversion tasks. Users can customize their experience through a declarative template system that defines specific execution

    Manages concurrent media download queues to efficiently acquire large collections of online content.

    Kotlinandroidf-droidjetpack-compose
    Ver en GitHub↗26,953
  • videolan/vlcAvatar de videolan

    videolan/vlc

    18,717Ver en GitHub↗

    VLC is a cross-platform multimedia player and framework designed to decode and render virtually any audio or video format, network stream, or physical disc without requiring external codecs. It functions as both a standalone application and a portable library, providing a modular architecture that allows developers to integrate playback, filtering, and streaming capabilities into third-party software. The project distinguishes itself through a highly modular plugin-based engine that supports real-time media processing, including format transcoding and the application of audio and video filter

    Enables developers to integrate modular media processing and playback capabilities into third-party applications.

    Ccframeworkgplv2
    Ver en GitHub↗18,717
  • android/ndk-samplesAvatar de android

    android/ndk-samples

    10,513Ver en GitHub↗

    The Android NDK samples provide a comprehensive collection of code examples demonstrating how to integrate C and C++ native code into Android applications. This repository serves as a practical guide for developers utilizing the Android Native Development Kit to implement performance-critical application components that require direct hardware access and low-level system interaction. The project highlights the use of the Java Native Interface to bridge managed code with native modules, enabling cross-language function calls and efficient data exchange. It demonstrates how to manage native act

    Provides low-level interfaces for media extraction, codec operations, and multimedia output handling.

    C++
    Ver en GitHub↗10,513
  • openai/skillsAvatar de openai

    openai/skills

    9,043Ver en GitHub↗

    This project is a framework for packaging and installing standardized capabilities, scripts, and instructions that LLM agents execute to perform complex tasks. It functions as a tool orchestrator and skill framework, bundling instructions and resources into portable formats that agents discover and use for repeatable workflows. The system distinguishes itself through a manifest-driven discovery process, allowing agents to identify available capabilities and their execution parameters. It supports the deployment of these modular capability sets into isolated runtime environments using remote U

    Transcribes audio, converts speech to text, and extracts data from documents or screenshots.

    Python
    Ver en GitHub↗9,043
  • dusty-nv/jetson-inferenceAvatar de dusty-nv

    dusty-nv/jetson-inference

    8,734Ver en GitHub↗

    jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

    Provides low-level hardware access to cameras and video processing for high-performance multimedia pipelines.

    C++caffecomputer-visiondeep-learning
    Ver en GitHub↗8,734
  • tdlib/tdAvatar de tdlib

    tdlib/td

    8,506Ver en GitHub↗

    This project is a cross-platform messaging SDK and client development library used to build custom Telegram applications. It functions as a comprehensive framework that manages network encryption, local data storage, and API communication, providing a C-compatible JSON interface that allows integration with any programming language. The library distinguishes itself by providing a full database manager for encrypted local caching and synchronized state, alongside a dedicated bot framework for creating interactive bots with business account integration. It enables the implementation of speciali

    Processes photos, videos, animations, and stickers, including management of metadata and spoiler flags.

    C++cross-platformlibrarytelegram
    Ver en GitHub↗8,506
  • php-ffmpeg/php-ffmpegAvatar de PHP-FFmpeg

    PHP-FFmpeg/PHP-FFmpeg

    5,013Ver en GitHub↗

    PHP-FFmpeg es un wrapper orientado a objetos para ejecutar comandos binarios de FFmpeg dentro de aplicaciones PHP. Sirve como librería de procesamiento multimedia y kit de herramientas para transcodificar, recortar, fusionar y filtrar archivos de audio y vídeo a través de una interfaz programática estandarizada. El proyecto proporciona drivers especializados para la manipulación de vídeo, edición de audio y extracción de metadatos multimedia. Estos drivers permiten aplicar filtros visuales, modificar tasas de muestreo de audio y sondear archivos multimedia para recuperar especificaciones técnicas y validar la integridad de los archivos. La librería cubre una amplia gama de capacidades de procesamiento de medios, incluyendo conversión de formatos, sincronización de flujos y generación de formas de onda de audio. Admite tareas de edición de vídeo programática como la extracción de fotogramas, concatenación de medios y la orquestación de grafos de filtros complejos para componer múltiples fuentes multimedia.

    Ships a comprehensive toolkit for transcoding, clipping, merging, and filtering media files.

    PHP
    Ver en GitHub↗5,013
  • knownsec/aipyappAvatar de knownsec

    knownsec/aipyapp

    3,971Ver en GitHub↗

    Este proyecto es un framework de aplicaciones y entorno de ejecución que integra modelos de lenguaje grande con la ejecución en sistemas locales y el control de hardware externo. Funciona como un orquestador multimodal, coordinando modelos de visión, voz y expertos en dominios dentro de un único bucle de procesamiento para razonar a través de diversos tipos de datos. El framework permite la generación y ejecución autónoma de código, permitiendo que los modelos de lenguaje escriban y ejecuten scripts de Python mediante un intérprete de código para automatizar tareas del sistema operativo y software anfitrión. Extiende aún más estas capacidades a entornos físicos mediante una interfaz de automatización de hardware que dispara acciones en teléfonos móviles y dispositivos de red local. El sistema también incluye pipelines para el análisis automatizado de documentos y multimedia. Estas herramientas procesan archivos locales para extraer texto e identificar riesgos legales en contratos, así como extraer voces de archivos de video para producir guiones de texto corregidos gramaticalmente.

    Offers tools for extracting vocals from video and converting speech into corrected text scripts.

    HTML
    Ver en GitHub↗3,971
  • x-cmd/x-cmdAvatar de x-cmd

    x-cmd/x-cmd

    4,037Ver en GitHub↗

    x-cmd is an AI agent orchestrator, cloud infrastructure CLI, and cross-platform package manager that provides an enhanced POSIX shell toolkit. It integrates large language models directly into the terminal for chatting, code generation, and the execution of agentic workflows, while offering a framework for building interactive terminal user interface components. The project distinguishes itself by deploying containerized AI agents within isolated sandboxes, provisioning them with specialized skills and headless browser automation capabilities. It further streamlines development through a unif

    Provides capabilities to convert, manipulate, and stream audio and video files.

    Shellagentaibash
    Ver en GitHub↗4,037
  • abhitronix/vidgearAvatar de abhiTronix

    abhiTronix/vidgear

    3,714Ver en GitHub↗

    VidGear is a high-performance Python video processing framework designed for capturing, transcoding, and manipulating video streams. It functions as a multi-protocol video streamer and a WebRTC streaming server, enabling the transfer of video frames over networks using RTSP, RTMP, RTP, and MJPEG protocols. The project distinguishes itself through hardware-accelerated video transcoding and decoding using GPU backends like CUDA to reduce CPU load. It includes a cross-platform screen capture tool and a specialized system for establishing direct peer-to-peer media connections using WebRTC signali

    Executes heavy multimedia workloads, including decoding and filtergraphs, within isolated system subprocesses.

    Pythondashffmpegframework
    Ver en GitHub↗3,714
Ant.12Siguiente
  1. Home
  2. Graphics & Multimedia
  3. Media Processing and Analysis
  4. Multimedia Processing

Explorar subetiquetas

  • Integration FrameworksLibraries and bindings for embedding media processing engines into custom software. **Distinct from Multimedia Processing:** Distinct from Multimedia Processing: focuses on the integration layer for third-party developers rather than the processing logic itself.
  • Subprocess-Based PipelinesExecution of media processing pipelines within separate system processes for heavy workloads. **Distinct from Multimedia Processing:** Focuses on the process-level isolation and execution model rather than the general multimedia processing logic.