Practical overview
When it fits
Use Hotclip when you have a long recording and want to review suggested moments, choose the segments worth keeping, and prepare vertical clips on a desktop.
Who it is for
- Streamers and editors repurposing livestream recordings
- Podcasters turning audio or video episodes into short clips
- Creators editing long-form talks, lessons or other recordings
Documented uses
- Find candidate highlight moments in a long recording
- Search a transcript for a line and select its surrounding segment
- Reframe selected footage as a 9:16 vertical clip
- Add animated subtitles to short-video exports
Requirements & limits
The project documents desktop builds for Windows, macOS and Linux, with the Linux build marked experimental. Its README says the core workflow requires no account. The project is licensed under AGPL-3.0.
- Hotclip describes transcription, editing and export as local processing.
- Editors can review suggested clips and choose which candidates to keep.
- The README describes transcript search and livestream chat activity as aids to finding highlight moments.
- Windows builds are unsigned; macOS builds are not Apple-notarized, and the Linux build is experimental.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Install HotClip on a desktop computer
Install the HotClip desktop application from a release package.
Before you start
- A Windows, macOS, or Linux computer.
- A HotClip release package from the Releases page.
Steps
Open the HotClip Releases page and download the package for your operating system.
On Windows, run the installer or extract the portable ZIP package.
On macOS, open the DMG and drag HotClip into Applications.
On Linux, make the AppImage executable and run it; if startup reports a sandbox error, add
--no-sandbox.
Expected outcome
HotClip is installed or launched from the platform-specific release package.
Guide limitations
- Linux support is described as experimental.
- Windows builds are unsigned and may show a SmartScreen warning.
- macOS builds are not Apple-notarized; the first launch may need to be allowed in Privacy & Security.
- The documented steps cover installation, not processing a video.
Create vertical short-clip candidates from a video
Import a long video or livestream recording, review AI-selected highlights, and export vertical clips.
Before you start
- HotClip installed on Windows, macOS, or Linux.
- A video file such as MP4, MKV, MOV, FLV, or TS, or a supported public video URL.
Steps
Import a video file, or paste a public video URL; the README also says pure audio can be imported.
Let HotClip transcribe the source locally and identify candidate highlights with scores, hooks, and reasons.
Review the candidates and deselect any clips you do not want.
Export the selected clips as vertical 9:16 videos; the described output can include dynamic subtitles, cover images, and publishing copy.
Expected outcome
Selected highlights are exported as vertical short videos, with the described accompanying subtitle and publishing assets.
Guide limitations
- Exact interface controls and settings are not specified in the cited instructions.
- The README lists supported file examples and public video URLs but does not document URL-provider compatibility in detail.
- This guidance is based on project documentation and is not independent verification of successful operation.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 13 October 2026
- Original website title
- xixihhhh/hotclip · Official homepage title · retained in its source language