Cuto – Turn raw footage into viral shorts in 30s with an AI prompt

Name: Cuto – Turn raw footage into viral shorts in 30s with an AI prompt
Availability: InStock
Author: zy5a59

by zy5a59·Feb 22, 2026·1 point·0 comments

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AI Analysis

●●●BangerSlickSolve My Problem

30-second auto-edits with rhythm sync beat Adobe Premiere's NLE friction for viral shorts.

Strengths

•Natural language-first UX replacing parameter hunting; 80% draft quality reduces tedious shot-splitting and silence-filtering
•Multi-platform export (TikTok, Shorts, Reels, Douyin) with auto-generated copy and hashtags embedded in workflow
•Parallel multi-clip analysis and rhythm optimization address creator's exact pain: hours spent on grunt work before storytelling

Weaknesses

•Pricing not visible; depends on viable monetization model—free tier could trap users without clear upgrade path
•No evidence of real user traction or benchmark vs. existing tools like Opus Clip or Synthesia

Post Description

I built Cuto because I was tired of spending hours on the repetitive parts of video editing: splitting long footage, syncing audio and captions, filtering out bad takes, and adjusting the pacing. I just wanted to focus on the storytelling.

Cuto is an AI video editing workspace that automates the grunt work. You drag and drop up to 12 video clips, write a quick prompt detailing what you want (e.g., "Find the best 30s product highlight and add a strong CTA"), and the engine does the rest.

Within 30 seconds, it hands back an editable visual timeline with: - Auto-split shots and filtered out silences/bad takes - Synchronized captions with rhythm alignment - Selected highlight effects and custom watermark branding - Auto-generated social-ready copy for TikTok, Shorts, and Reels

Unlike traditional NLEs (Non-Linear Editors), we wanted an interface where the visual parameters are controlled intuitively by natural language first, giving you a solid 80% draft instantly. From there, you can still tweak the timeline if needed.

It's currently geared towards talking heads, unboxing videos, reviews, and live stream clips.

I'd love for you to try it out. We still have a lot of edge cases to cover regarding complex scene transitions, but I'd really appreciate any feedback on the UX, the rendering speed, or the AI's editing choices.