Gling

Gling is a specialized AI video editor built to automate the rough cut of talking-head video for YouTubers, podcasters and creators.

It scans raw footage, transcribes the audio, and automatically identifies and removes silences, filler words like um and uh, repeated lines and bad takes, producing a clean first cut in a fraction of the usual time.

Editing is transcript-based: Gling generates an editable transcript of the entire video, and deleting a sentence from the transcript removes the corresponding video segment, making cuts fast and intuitive.

A standout capability is export flexibility: creators can export the edited sequence as XML for Final Cut Pro, XML or EDL for Premiere Pro and DaVinci Resolve, a direct MP4, an MP3 for audio podcasts, or an SRT subtitle file, so the rough cut opens in a professional editor with all cuts intact for further polish.

Founded in 2022, Gling is used by tens of thousands of creators including prominent YouTubers. Strengths include major time savings, transcript-based editing, NLE-friendly exports and a free tier.

Trade-offs include a free plan that watermarks exports and caps media hours, a focus on talking-head footage rather than multi-cam or cinematic editing, and reliance on transcription accuracy. It is ideal for solo creators wanting faster rough cuts.

Gling's biggest advantage is how much manual labor it removes from the most tedious stage of editing: cleaning up raw talking-head footage by cutting dead air, stumbles and retakes.

Because it works from an editable transcript, creators who are comfortable with text can edit video almost like editing a document, and the XML and EDL exports mean professional editors lose nothing by starting their polish in Gling, since the cuts carry straight into Premiere, Final Cut or DaVinci.

Used by tens of thousands of creators, including prominent YouTubers, it has proven reliability for its niche.

The limitations are that it targets single-speaker talking-head content rather than complex multi-camera or narrative projects, the free tier watermarks output and caps media hours, and results depend on transcription accuracy, but for solo YouTubers and podcasters it can save hours per video.

Pricing changes often, so check the official site for current plans.