Save time by automating your video editing

Kamua was a browser based, AI powered video editing platform built for creators, social teams, and marketers. It automated the slow, repetitive parts of editing so a single recording could become dozens of finished, platform ready clips without anyone scrubbing a timeline by hand.

Most video editing time is not spent on creative decisions. It is spent on mechanical work: cropping a landscape video so it fits a vertical feed, cutting out the pauses, adding captions, and exporting the same clip five different ways for five different platforms. Kamua used machine learning to do that mechanical work automatically, in the cloud, with nothing to install.

What Kamua did

Auto reframe took a video shot in one aspect ratio and intelligently re-cropped it for another, keeping the speaker or the action centered in frame. A landscape interview became a vertical clip for Shorts, Reels, and TikTok without the subject drifting out of view. See how repurposing worked.

Auto cut detected silences, filler pauses, and dead air and removed them, turning a loose recording into a tight edit in one pass. More on Auto Cut.

Auto captions transcribed speech and burned in styled, accurate subtitles, the kind of captions that keep viewers watching when sound is off, which is how most social video is consumed.

Video to Blog turned a recorded talk, webinar, or tutorial into a structured written draft, so one piece of footage could be published as both a video and an article. See Video to Blog.

TinyVid was Kamua's free video compressor, widely used to shrink clips below platform upload limits, especially for YouTube Shorts, without a visible drop in quality. Open TinyVid.

Who used it

Kamua fit teams that produced a lot of long form video and needed to slice it into short form for social: podcasters turning episodes into clips, marketers repackaging webinars, agencies running social accounts for clients, and solo creators feeding several platforms at once. The common thread was volume. When you publish video constantly, automating the repetitive edits is the difference between posting daily and burning out.

Getting video found, not just made

Editing is only half the job. Once a video exists, it still has to be discoverable, in search results, in YouTube, and increasingly in AI generated answers. Files need to load fast, carry captions and transcripts, and sit on pages search engines can read. If you publish video as part of your marketing, this guide on multimedia SEO covers how video, images, and audio actually get indexed and surfaced.