Search Results for "video clips"
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Showing 110 open source projects for "video clips"
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Viral-Clips-Crew
Your CrewAI Powered Video Editing Assistant
Viral-Clips-Crew is an AI-driven video processing pipeline designed to generate short-form, engaging clips from long-form video content automatically. It analyzes transcripts and video data to identify the most engaging or “viral” moments, reducing the need for manual editing. The system integrates tools like FFmpeg and AI models to handle segmentation, cropping, and formatting for vertical video platforms. -
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video-use
Edit videos with Claude Code
Video Use is an open-source AI-powered video editing tool that allows users to transform raw footage into polished videos using natural language commands. Designed to work with Claude Code, it automates the entire editing process—from cutting clips to rendering the final output—without requiring manual timelines or complex software interfaces. -
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OpenShot Video Editor
Award-Winning Open Source Video Editing Software
OpenShot Video Editor is a powerful yet very simple and easy-to-use video editor that delivers high quality video editing and animation solutions. OpenShot offers a myriad of features and capabilities, including powerful curve-based Key frame animations, 3D animated titles and effects, slow motion and time effects, audio mixing and editing, and so much more. It’s available for Linux, Mac and Windows, with a very simple and friendly interface. Start creating stunning videos quickly and easily... -
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LingBot-Video
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
LingBot-Video is a large-scale mixture-of-experts video generation model focused on embodied intelligence. It is designed to connect video synthesis with physical-world understanding instead of generating only visually appealing clips. The project includes dense and MoE model variants for text-to-image, text-to-video, and text-image-to-video workflows. -
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FFShare
An android app to compress image, video and audio files
FFShare is a lightweight command-line tool designed to simplify sharing video clips by quickly uploading them to online platforms using FFmpeg-based processing. It allows users to select segments of videos, encode them, and upload them directly without manual editing steps. The tool integrates with FFmpeg to handle trimming, compression, and format conversion before sharing. It is designed for speed and convenience, enabling rapid workflows for content creators and developers. ffshare also supports configuration options for controlling output quality and encoding parameters. ... -
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Short Video Factory
AI tool for automatic batch short video creation and editing
Short Video Factory is an open source desktop application designed to simplify the creation of short-form videos using AI-driven automation. It enables users to generate product marketing clips and general content videos by combining simple prompt-based input with pre-prepared media assets. Short Video Factory integrates multiple stages of video production, including script generation, voice synthesis, video editing, and subtitle effects, into a single streamlined workflow. ... -
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LTX-2.3
Official Python inference and LoRA trainer package
LTX-2.3 is an open-source multimodal artificial intelligence foundation model developed by Lightricks for generating synchronized video and audio from prompts or other inputs. Unlike most earlier video generation systems that only produced silent clips, LTX-2 combines video and audio generation in a unified architecture capable of producing coherent audiovisual scenes. The model uses a diffusion-transformer-based architecture designed to generate high-fidelity visual frames while simultaneously producing corresponding audio elements such as speech, music, ambient sound, or effects. ... -
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VideoRAG
"VideoRAG: Chat with Your Videos
VideoRAG is a retrieval-augmented generation (RAG) framework tailored for video content that enables AI systems to answer questions, summarize, and reason over long videos by combining visual embeddings with contextual search. The system works by first breaking video into clips, extracting visual and audio-textual features, and indexing them into embeddings, then using an LLM with a retriever to pull relevant segments on demand. -
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CcClip
Vue and ffmpeg based tool for video clips
...It provides a lightweight interface and scripting capabilities that allow users to automate repetitive editing tasks. CcClip is particularly useful for creating short-form content by converting long videos into clips suitable for platforms like TikTok or YouTube Shorts. Its modular structure allows developers to extend functionality or integrate it into larger content pipelines. Overall, it serves as a streamlined tool for quick video manipulation and content repurposing. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AutoClip
AI-powered video clipping and highlight generation
AutoClip is an open-source, AI-powered video processing system designed to automate the extraction of “highlight” segments from full-length videos — ideal for creators who want to generate bite-sized clips, compilations, or highlight reels without manually sifting through hours of footage. The system supports downloading videos from major platforms (e.g. YouTube, Bilibili), or accepting local uploads, and then applies AI analysis to identify segments worth clipping based on content (e.g. high energy moments, speech, or other heuristics). ... -
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MiniMax H3
MiniMax H3 is a general-purpose, omni-modal generative system
...Ref2VA accepts multiple reference images, videos, and audio clips for more controlled results. Its architecture uses a unified multimodal sequence and a 33-billion-parameter H3-Omni-Transformer that jointly predicts video and audio latents. The repository also provides model components, inference code, prompt guidance, and specialized generation skills. -
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Editly
Slick, declarative command line video editing & API
Editly is a tool and framework for declarative NLE (non-linear video editing) using Node.js and FFmpeg. Editly allows you to easily and programmatically create a video from a set of clips, images, audio and titles, with smooth transitions and music overlaid. Editly has a simple CLI for quickly assembling a video from a set of clips or images, or you can use its more flexible JavaScript API. Inspired by ffmpeg-concat, Editly is much faster and doesn't require much storage because it uses streaming editing. ... -
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OpenShorts
Free & open source AI video platform
OpenShorts is an open-source, self-hosted AI video automation platform designed to generate, edit, and distribute short-form vertical content across social media platforms. It combines multiple tools into a single pipeline, including clip generation, AI-driven video creation, and YouTube optimization features. The system can transform long videos or uploaded files into short clips by detecting engaging moments, reframing content, and adding subtitles and visual effects. ... -
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Verticals v3
Automated YouTube Shorts pipeline
Verticals v3 is an automated content generation workflow designed to create and process YouTube Shorts videos programmatically. It combines multiple tools and scripts to handle tasks such as downloading source material, editing clips, adding subtitles, and formatting output for vertical video platforms. The pipeline emphasizes automation, allowing users to produce short-form content at scale with minimal manual intervention. It integrates FFmpeg and other media processing tools to handle video transformations, resizing, and encoding. The system also supports adding overlays, captions, and audio enhancements to improve engagement. ... -
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ffplayout
Rust and ffmpeg based playout
ffplayout is a 24/7 broadcasting automation system built with Rust and FFmpeg, designed to continuously stream audio or video content from playlists or directories. It enables users to schedule daily playlists using JSON files while keeping them editable during playback, allowing dynamic control over broadcasts. The system can also operate in folder-based mode, automatically playing media files in sequence or loop. It supports streaming output to servers or local playback environments, making it suitable for radio, TV, or online channels. ffplayout includes fallback mechanisms that replace missing content with filler clips or generated placeholders to maintain uninterrupted streams. ... -
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Clypra
Hardware-accelerated video editor built on Rust, Tauri v2 & React 19
Clypra is an open-source desktop video editor for macOS, Windows, and Linux, with a core released under the MIT License. Its multitrack timeline supports frame-accurate trimming, layered arrangements, and undo and redo controls. A native Rust engine combines FFmpeg processing with GPU acceleration for video decoding and rendering. Audio tools include waveform visualization, synchronized audio and video playback, and individual clip volume controls. Users can add styled text, animated... -
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Voyager
The open harness for creative work
Voyager is an AI-powered creative automation platform that enables users to generate, edit, and produce visual, video, audio, and design content using AI agents. The software connects AI models with professional creative applications, including Adobe Photoshop, Illustrator, Premiere Pro, After Effects, DaVinci Resolve, Blender, and Ableton Live. Users can describe creative tasks in natural language, allowing AI agents to select tools, generate assets, edit content, and complete multistep... -
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StoryGen Atelier
AI-assisted storyboard and video generation tool
...Users begin with natural language descriptions of their story or scene, and the system uses state-of-the-art large models to generate both the script and corresponding frames. Once individual frames are created, a second AI model generates transition clips that smoothly link the frames into a coherent short video sequence, and the tool then assembles everything into a finished video using standard video processing tools. This pipeline transforms abstract creative ideas into shareable visual narratives, offering a powerful workflow for writers, filmmakers, content creators, and educators alike. -
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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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scroll-world
A skill that turn any brand into a scrollable 3D world
...The workflow interviews the user about the brand, message, visual direction, and ordered sequence of scenes. It then uses Higgsfield to generate still images, scene-entry videos, and connector clips built from matching boundary frames. A portable JavaScript engine maps scrolling to video time, adds lazy loading, and blends seams between clips. Templates and batch scripts cover prompting, frame extraction, encoding, page setup, and optional background removal. The output is framework-agnostic and can be embedded in plain HTML, Next.js, Vue, or Python-served sites. -
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yt-dlp
A youtube-dl fork with additional features and fixes
yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project -
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AI YouTube Shorts Generator
A python tool that uses GPT-4, FFmpeg, and OpenCV
AI-YouTube-Shorts-Generator is a Python-based tool that automates the creation of short-form vertical video clips (“shorts”) from longer source videos — ideal for adapting content for platforms like YouTube Shorts, Instagram Reels, or TikTok. It analyzes input video (whether a local file or a YouTube URL), transcribes audio (with optional GPU-accelerated speech-to-text), uses an AI model to identify the most compelling or engaging segments, and then crops/resizes the video and applies subtitle overlays, producing a polished short video without manual editing. ... -
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Vidi2
Large Multimodal Models for Video Understanding and Editing
Vidi is a family of large multimodal models developed for deep video understanding and editing tasks, integrating vision, audio, and language to allow sophisticated querying and manipulation of video content. It’s designed to process long-form, real-world videos and answer complex queries such as “when in this clip does X happen?” or “where in the frame is object Y during that moment?” — offering temporal retrieval, spatio-temporal grounding (i.e. locating objects over time + space), and... -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
...The architecture is designed to scale: spatiotemporal ViT backbones, flexible masking schedules, and efficient sampling let it train on long clips while remaining stable. Trained representations transfer well to downstream tasks such as action recognition, temporal localization, and video retrieval, often with simple linear probes or light fine-tuning. The repository typically includes end-to-end recipes—data pipelines, augmentation policies, training scripts, and evaluation harnesses. -
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ffdiaporama
Movie creator from photos and video clips
ffDiaporama 2.1 needs ffmpeg21 and x264-152
