AI video clipper for turning long videos into better shorts

An AI video clipper reduces the repeated work between a long recording and a finished short: transcribing speech, proposing boundaries, finding a vertical crop, and timing captions. SupoClip analyzes what is said to identify candidates. Start with a podcast answer, interview story, tutorial explanation, or spoken stream reaction. The useful test is whether a new viewer can understand the excerpt without the preceding conversation. A sentence that sounds dramatic but leaves out its explanation still needs an edit.

Candidate scores consider hook strength, engagement, value, and shareability. Use them to decide what to review first; they do not predict views. Transcript-led selection can miss silent gameplay, a visual demonstration, or an important chart that nobody describes aloud. Check those passages in your source yourself. Keep the candidates that contain an opening, enough context, and a complete payoff, even if that means exporting fewer clips.

Open a generated clip in the editor and play the opening without the episode around it. If the first sentence depends on an earlier question, move the start to include enough context. Trim repeated setup and stop after the answer resolves. You can adjust cuts and framing rather than accepting the first suggestion unchanged. Watch transitions between speakers and screen shares: a close crop that works on a face can hide the detail a demonstration needs.

Review the transcript for names, numbers, and specialist terms. Choose a caption style, adjust contrast and position, and inspect it at phone size. Keep captions clear of faces and the destination app’s controls. Export using the Shorts, Reels, or TikTok preset, then watch the rendered file all the way through. For YouTube, publishing options also depend on your account and deployment access. Exporting a TikTok or Reels file does not mean those platforms are connected for automatic posting.

Use hosted SupoClip when you want processing managed for you. The paid plans include a monthly allowance measured in source-video minutes; producing more clips from the same recording does not multiply that recording’s duration. Check current plans for output resolution, source limits, and publishing access before choosing. A creator can start with one recording and review its finished clips before making the workflow part of a weekly schedule.

Self-hosting gives technical teams the application source and control over the processing stack. You provide compute, storage, updates, and the transcription and language-model configuration. Local Whisper and Ollama can be used, while external providers bring their own usage costs and data handling. The source is free under AGPL-3.0; managed hosting is paid. Use the real examples above to judge the output, then choose the operating model that fits how you work.