CapCut

OpenCut is a free, open-source video editor for the web, desktop, and mobile, positioned as a local alternative to CapCut. It provides basic video-editing capabilities while keeping users' video files on their devices. The project is being rewritten around a Rust core intended to support browser, desktop, and mobile clients from one codebase. The planned architecture includes an Editor API, third-party plugins, an MCP server for AI agents, headless batch rendering, and an in-editor scripting tab. The existing classic version remains available through opencut.app while the rewrite is developed at new.opencut.app. OpenCut is licensed under the MIT License.

Capptivo is a free, open-source screen recorder and editor for creating demo videos on macOS, Windows, and Linux. It tracks cursor movement and clicks to apply follow-cursor and click-based automatic zooms, and provides editor presets, annotations, facecam, backgrounds, captions, and MP4, WebM, or GIF export. Captions use a system whisper.cpp command-line binary, with model weights downloaded on first use. The application captures macOS screens through ScreenCaptureKit with VideoToolbox H.264 encoding, Windows screens through Windows.Graphics.Capture with hardware-encoding support, and Linux screens through xdg-desktop-portal and PipeWire. It is distributed through platform installers, including DMG or app archives for macOS, MSI or setup executables for Windows, and DEB, AppImage, or RPM packages for Linux. The repository releases it under the MIT license.

WolfCut is a free, open-source native video editor positioned as a CapCut replacement. Its Rust engine handles cutting and encoding, while a React interface provides multi-track editing, multiple timelines per project, splitting, trimming, merging, transitions, speed control, titles, styled text, templates, and voice filters. The application includes local text-to-speech and auto-caption features; captions run on the user's machine and audio is not sent elsewhere. It is designed to run without watermarks, accounts, subscriptions, or additional downloads, and supports macOS, Windows, Linux, and Nix. The repository describes it as an alpha pre-release distributed through GitHub Releases.

BridgeClip is an open-source AI desktop app from BridgeMind that turns local videos or podcast, YouTube, and Twitch VOD links into captioned short-form clips. It downloads the source when needed, transcribes speech, uses OpenRouter to identify promising moments and plan the clips, reframes them to 9:16 or 16:9, and renders the results locally with FFmpeg and word-by-word captions. It supports smart face and screen-share framing, multiple caption styles, clip libraries and job tracking, and optional publishing or scheduling through Zernio. The app runs on the user's computer without a BridgeMind backend; provider keys and transcription or planning data are sent to the selected OpenRouter services, while rendering is local. macOS and Windows releases are provided, Linux development is supported, and the project is MIT licensed.

AutoClip is an open-source AI video clipping tool that analyzes transcripts to identify highlights, generate titles, create clips and organize them into collections. It supports local videos, YouTube and Bilibili links, optional SRT subtitles, and transcription through local Whisper components when subtitles are unavailable. The processing pipeline imports video, obtains subtitles or a transcription, performs AI analysis and scoring, generates clips and collections, and exports them using presets for Douyin, Xiaohongshu, YouTube Shorts and Bilibili. Users can select Qwen, OpenAI-compatible APIs, Gemini, SiliconFlow, Ollama or LM Studio models; cloud analysis sends transcript text to the selected provider while video cutting runs locally. AutoClip is distributed as a macOS or Windows desktop application and can also run through a Docker web interface, a Python CLI or an MCP server. It is free software licensed under the MIT License.