BridgeClip

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.

OpenShorts is an open-source AI video platform for turning long-form videos such as podcasts, webinars, livestreams, and interviews into 9:16 short-form clips. Its Clip Generator transcribes videos with faster-whisper, detects scene boundaries with PySceneDetect, uses an LLM to identify potential moments, cuts them with FFmpeg, and applies face-tracked or multi-speaker vertical layouts, word-level subtitles, hook overlays, effects, and optional dubbing. The platform also includes AI Shorts for generating UGC-style marketing videos with AI actors, scripts, voiceovers, b-roll, and lip-sync, plus YouTube Studio tools for thumbnails, titles, descriptions, and direct publishing. Clips can be distributed to TikTok, Instagram Reels, and YouTube Shorts through Upload-Post, and the system provides an MCP server, REST API, webhooks, CLI, and agent skill for automation. The core application can be self-hosted with Docker under the MIT license; a hosted version is available at openshorts.app, while the cloud service infrastructure is source-available under a separate commercial license.

Clipnote is a notepad for saving and organizing content generated in AI conversations. It stores plain text, Markdown, and HTML clips, preserving HTML layout and interactivity, and lets users search, pin, archive, version, restore, and delete them. Clips can be private or shared through public URLs, and collections bundle multiple clips into one shareable page. Through MCP connections with Claude and ChatGPT, an assistant can save a new clip, retrieve a clip's content to inform a response, or update an existing clip. Updates automatically preserve the previous version. Clips can also be created or updated manually by pasting text or uploading a file.

OpenEdit is an open-source, agent-driven video-editing pipeline from VEED. It has no graphical interface or timeline; an agent-agnostic skill and repository guide drive it through coding agents such as Claude Code, Codex, and Gemini. The pipeline can edit, cut, and reframe footage; create burned-in subtitles, motion graphics, charts, and visual elements; assemble slides, websites, stills, or generated media into video; capture web pages; and connect generation services or MCP servers when needed. Source footage is optional, and VEED Fabric can generate footage only with the user's approval. For captioning, the agent transcribes the video, designs the captions, renders the result, opens a video previewer, and accepts follow-up requests such as changing subtitle color, position, or emphasis. Transcription can use VEED, local offline WhisperX, or a user-supplied service; all providers must produce per-word timings, which are stored in a common transcript format. Caption styles are authored in HTML and CSS. The project includes VEED's closed-source but free-to-use HTML renderer, which does not require a headless browser; Chrome can be used as an alternative rendering backend. V1 primarily targets captions, while motion graphics, charts, and brand-book-matched styling are less exercised. OpenEdit supports Apple Silicon Macs and Windows x64 PCs. Intel Macs are unsupported, Linux support is planned, and Windows requires Git, Node, and ffmpeg. It can be installed from the repository or with `npx skills add veedstudio/open-edit`.

ReScript is an open-source, transcript-based video and audio editor that runs in the browser or as a desktop application. It processes media locally on the device, transcribes audio with Whisper using word-level timestamps, and assigns speaker labels with pyannote; users edit the media by deleting words from the transcript, which creates cut ranges that the preview and timeline apply to the original recording. The editor supports imported SRT, VTT, and JSON transcripts, filler-word and silence removal, speaker-grouped transcripts, waveform and word-level timeline editing, split and trim operations, and adjustable word timings. It exports video, audio, transcripts, subtitles, and NLE timelines for DaVinci Resolve, Premiere, Final Cut Pro, Pro Tools, and Logic. The web and desktop versions use ffmpeg.wasm for on-device media extraction and export. Desktop builds are distributed for macOS, Windows, and Linux through Electron, while the browser app is available at app.getrescript.com.