ReScript

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.

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`.

Skill Recorder is a Microsoft desktop application that records a work session—including screen activity, application and window switches, browser pages, clipboard previews, and optional spoken narration—and uses the GitHub Copilot CLI to reconstruct the session as an overall intent and ordered steps. Users can review and edit the analysis, then generate either a reusable SKILL.md procedure for an AI agent or an Automation that runs on a schedule or trigger. Generated procedures prefer an agent’s native tools, such as the gh CLI or web_fetch, over replaying interface clicks and can generalize from the recorded example. Recording, frame extraction, local storage, and optional narration transcription occur on the computer; choosing Analyze sends the event timeline, extracted screen images, and narration text to GitHub’s cloud for Copilot processing. Narration is transcribed on-device using a Whisper model. The application is distributed as a source release that downloads a pinned Node.js runtime and builds the release locally without a global installation. macOS is the primary target, with Windows 11 support for x64 and ARM64 and Ubuntu installation instructions. A GitHub account with Copilot access is required.

Scriptly is an iOS teleprompter app that uses real-time voice recognition to scroll a script at the speaker’s pace. It provides script writing and organization, video-recording controls, professional teleprompter tools, local storage, and an Apple Watch companion for recording and text adjustments. The public beta is distributed through TestFlight.

OpenWhispr is an open-source, cross-platform desktop voice-to-text application for macOS, Windows, and Linux. A global hotkey captures speech and inserts the resulting text at the cursor in another application; dictation can use local Whisper or NVIDIA Parakeet speech-to-text engines, where audio remains on the device, or cloud providers through user-supplied keys. It also supports dictation translation, AI-agent commands, meeting transcription with speaker diarization and voice fingerprinting, audio and video transcription, and searchable notes with semantic search and optional cloud sync. The application is built with Electron, React, TypeScript, SQLite, whisper.cpp, and sherpa-onnx, and provides an API and MCP server for programmatic access to notes and transcriptions. The repository describes it as having no data collection or telemetry and distributes installers for the three supported desktop platforms. It is licensed under the MIT license.