Search Results for "video processing" - Page 2
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Showing 140 open source projects for "video processing"
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ReClip
Download videos from almost any website
ReClip is a lightweight, self-hosted media downloader that provides a simple web-based interface for downloading videos and audio from a wide range of online platforms. Built around the yt-dlp engine, it supports over a thousand websites, including major platforms like YouTube, TikTok, and Instagram, allowing users to retrieve media content in various formats. The application emphasizes simplicity and minimalism, featuring a clean interface built with plain HTML, CSS, and JavaScript without... -
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AutoCut
Cut videos with a text editor
...AutoCut supports multiple transcription backends, including Whisper and faster-whisper modes, allowing users to choose based on speed or accuracy needs. After editing the transcript text, the corresponding video clips are merged into the final output, and the tool also produces matching subtitle files. Its command-line interface can be integrated into scripts, making it suitable for automated workflows or batch processing. -
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gopro-dashboard-overlay
Programs to process GoPro MP4 & Generic GPX/FIT files
...It integrates FFmpeg for rendering and supports multiple resolutions and camera modes such as timelapse and timewarp. The tool can also convert metadata into formats like GPX or CSV for further analysis. It is designed for both post-processing workflows and automated video generation pipelines. Overall, it enhances action footage by adding synchronized visual data overlays. -
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VOID
Video Object and Interaction Deletion
VOID is an advanced AI video processing system developed by Netflix that focuses on removing objects from videos while preserving the physical and visual realism of the surrounding environment. Unlike traditional inpainting methods that only erase pixels or simple artifacts, VOID models the full interaction dynamics between objects and their environment, including shadows, reflections, and even physical consequences such as movement or balance changes. -
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BettaFish
Public opinion analysis system
...It also integrates multimodal processing, enabling it to parse images and video alongside text. -
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AI-Media2Doc
AI tool converting video/audio into structured documents instantly
AI-Media2Doc is a web-based application that uses large language models to convert video and audio content into structured, readable documents in a single workflow. It is designed to transform multimedia inputs into formats such as knowledge notes, summaries, mind maps, and social-style articles, making content easier to review and reuse. AI-Media2Doc emphasizes privacy by processing media locally in the browser using WebAssembly-based ffmpeg, ensuring that original video files are not uploaded externally. ... -
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JamTools
JamTools is a cross-platform gadget set software
JamTools is a multifunctional desktop utility suite designed to provide a collection of tools for productivity, media processing, and system enhancements within a single application. It integrates various features such as file management, multimedia handling, and system utilities into a unified interface. The project emphasizes ease of use while offering advanced functionality for handling common tasks efficiently. It includes support for media-related operations, often leveraging FFmpeg for processing video and audio content. ... -
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VideoCaptioner
AI-powered tool for generating, optimizing, and translating subtitles
VideoCaptioner is an open source AI-powered subtitle processing tool designed to simplify the workflow of creating subtitles for videos. It integrates speech recognition, language processing, and translation technologies to automatically generate and refine subtitles from video or audio sources. VideoCaptioner uses speech-to-text engines such as Whisper variants to transcribe spoken content and convert it into subtitle text with accurate timestamps. -
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NVIDIA AI Blueprint
Suite of reference architectures for building GPU-accelerated vision
NVIDIA AI Blueprint is an AI blueprint for building GPU-accelerated video intelligence applications and vision agents. It combines accelerated vision microservices, vision language models, large language models, embeddings, and NVIDIA NIM microservices to process both stored and streaming video. The project is organized around real-time video intelligence, downstream analytics, and agentic offline processing. -
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FastFlix
FastFlix is a free GUI for H.264, HEVC and AV1 hardware and software
FastFlix is a graphical user interface for AV1 video encoding that simplifies the process of converting video files into the modern AV1 format. It acts as a frontend for encoding tools such as SVT-AV1 and AOM, allowing users to configure advanced encoding parameters without using the command line. The application focuses on balancing quality and encoding speed, offering presets and tuning options for different use cases. It supports batch encoding, enabling users to process multiple files... -
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Qwen-MM-Plugins
Make any agent harness multimodal-native
...The core package can inspect images, videos, documents, and 3D models while providing OCR, grounding, segmentation, transcription, and visual question answering. Additional modules support long-video memory, audio-video analysis, media generation, video editing, Blender, FreeCAD, and educational content creation. Dynamic-resolution processing automatically adjusts visual inputs according to the detail required by the model. A guided installer configures supported environments such as Claude Code, Codex, Qoder, OpenClaw, Qwen Code, and Gemini CLI. ... -
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ffmpeg-normalize
Audio Normalization for Python/ffmpeg
ffmpeg-normalize is a command-line utility designed to normalize audio levels in media files using FFmpeg, ensuring consistent volume across multiple tracks. It supports both EBU R128 loudness normalization and peak normalization methods, allowing users to choose the appropriate standard for their needs. The tool analyzes audio streams and applies adjustments to achieve target loudness levels without introducing distortion. It can process multiple files in batch mode, making it suitable for... -
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Vidi2
Large Multimodal Models for Video Understanding and Editing
...Vidi targets applications like intelligent video editing, automated video search, content analysis, and editing assistance, enabling users to efficiently locate relevant segments and objects in hours-long footage. The system is built with open-source release in mind, giving developers access to model code, inference scripts, and evaluation pipelines so they can reproduce research results or integrate Vidi into their own video-processing workflows. -
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python-socketio
Python Socket.IO server and client
python-socketio is a robust Python library that implements the Socket.IO protocol, enabling real-time, bidirectional communication between web clients and servers. It works with multiple asynchronous frameworks such as asyncio, eventlet, and gevent, so developers can choose the concurrency model that best fits their application needs while still using a consistent API. The library provides both server and client implementations, allowing Python applications to serve and communicate with... -
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video2robot
End-to-end pipeline converting generative videos
video2robot is an end-to-end open-source pipeline that converts generative video or prompt-driven motion content into executable humanoid robot motion sequences, enabling researchers and developers to go from high-level action descriptions or videos to robot-ready motion data. The pipeline supports both prompt-to-video generation using models like Veo/Sora and video upload processing, followed by human pose extraction through a 3D pose model and retargeting of that motion to robot joints using a general motion retargeting system. ... -
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SlowFast
Video understanding codebase from FAIR for reproducing video models
SlowFast is a video understanding framework that captures both spatial semantics and temporal dynamics efficiently by processing video frames at two different temporal resolutions. The slow pathway encodes semantic context by sampling frames sparsely, while the fast pathway captures motion and fine temporal cues by operating on densely sampled frames with fewer channels. -
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Pipecat
Framework for building real-time voice and multimodal AI agents
...Developers can create a wide range of interactive systems including voice assistants, customer service agents, interactive storytelling applications, and multimodal interfaces that combine voice, video, images, and text. Its modular architecture allows components to be composed into pipelines that process audio, text, and video streams in real time. -
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Depth Anything 3
Recovering the Visual Space from Any Views
...The model can be applied to photography, AR/VR content creation, robotics perception, and 3D reconstruction workflows, making it versatile across industries and research domains. It includes support for high-resolution inputs and post-processing tools that refine depth predictions, helping downstream tasks like segmentation, bounding volume estimation, and mixed reality layering. -
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Windrecorder
Windrecorder is a memory search app by records everything
Windrecorder is an open-source personal memory search engine that continuously records on-screen activity in a highly optimized and storage-efficient format. It captures screen content locally and builds a searchable database using OCR and image understanding, allowing users to rewind and rediscover anything they have previously seen. The system indexes only meaningful visual changes, extracting text, browser data, and contextual information to improve search accuracy and reduce storage... -
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SwarmUI
Modular AI image and video generation web UI with extensible tools
SwarmUI is a modular web-based user interface designed for AI-driven image generation, with a strong focus on usability, performance, and extensibility. It serves as a unified environment for working with multiple AI models, including Stable Diffusion and newer image and video generation systems, allowing users to create and manage outputs through a browser interface. SwarmUI is built to accommodate both beginners and advanced users by offering a simple “Generate” interface alongside more... -
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Norfair
Lightweight Python library for adding real-time multi-object tracking
...Any detector expressing its detections as a series of (x, y) coordinates can be used with Norfair. This includes detectors performing tasks such as object or keypoint detection. It can easily be inserted into complex video processing pipelines to add tracking to existing projects. At the same time, it is possible to build a video inference loop from scratch using just Norfair and a detector. Supports moving camera, re-identification with appearance embeddings, and n-dimensional object tracking. Norfair provides several predefined distance functions to compare tracked objects and detections. ... -
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WhisperJAV
Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD
WhisperJAV is an open-source speech transcription pipeline designed specifically for generating subtitles for Japanese adult video content. The project addresses challenges that standard speech recognition models face when transcribing this type of audio, which often includes low signal-to-noise ratios and large numbers of non-verbal vocalizations. Traditional automatic speech recognition systems can misinterpret these sounds as words, leading to inaccurate transcripts. WhisperJAV introduces... -
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typed-ffmpeg
Type-safe FFmpeg bindings for Python & TypeScript
typed-ffmpeg is a strongly typed wrapper for FFmpeg designed to provide safer and more structured media processing workflows in TypeScript environments. It translates FFmpeg command-line operations into typed interfaces, reducing the risk of errors and improving developer experience. The library allows users to construct complex media pipelines using a fluent and predictable API. It supports operations such as transcoding, filtering, and stream manipulation while maintaining compatibility... -
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AsrTools
AsrTools: Smart Voice-to-Text Tool
AsrTools is a voice-to-text desktop utility designed to convert audio and video into subtitle or plain-text files without requiring a local GPU. Its graphical interface is built with PyQt5 and qfluentwidgets for a straightforward desktop workflow. Users can select an ASR engine, add individual files or folders, and process them in batches. Multi-threaded execution speeds up large transcription jobs by handling several tasks concurrently. Output formats include SRT, TXT, and ASS, making the... -
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Milvus Bootcamp
Dealing with all unstructured data, such as reverse image search
Milvus Bootcamp is a collection of tutorials, examples, and best practices for using Milvus, an open-source vector database designed for AI-powered similarity search and retrieval applications.
