OmniEditor is an AI video editing and generation workspace for creators, marketers, founders, and teams that need faster prompt-led video iteration. It helps users turn prompts, images, clips, and creative references into organized workflows for social videos, ads, explainers, product demos, and launch assets.
Prompt-led AI video workflow
Multimodal image and creative references
Model-aware generation settings
Fast iteration for social videos and ads
Create short-form creator videos
Plan ad and campaign variants
Prepare explainers and product demos
Iterate on generated video drafts
6 ratings
developer
AI video with native sound, paid per clip. Nothing stored.
A calmer Mac menu bar, one click away.
Enterprise Software. Intelligent Automation. Global Impact.
Comments
7developer
We built gemini omni to make AI video creation feel faster and more controllable for creators, marketers, and small teams. It brings prompt-led generation, image references, and practical video workflow controls into one editor so users can iterate on social clips, ads, explainers, and launch assets with less setup time.
Founder and CEO of matterhorn.so, vibecoding the future of Web3
AI is actually solving some real-time issues.
Driven by Innovation, Built for Everyday Drivers
Love the direction here. Most AI video tools focus on generating clips, but the workflow around organizing prompts, references, and iterations is often overlooked. OmniEditor seems to address that gap by bringing the entire creative process into one place. This could be especially useful for marketers and founders producing content at scale without a dedicated video team.
Copywriter
nice idea and concept
Founder @ Quick Counter Tools. Building advanced name combiners, rare TikTok username generators, and custom gamertag utilities for global creators.
nice and perfect for lovely
Better than others. Great
.
"prompt-led iteration" is the part that matters for people like me. i just went through making a product demo video the traditional way and the painful part wasn't generating footage — it was the re-iteration: every small change meant re-editing the whole timeline. if describing the change ("make the intro 2s shorter, swap the second clip") actually works reliably, that's the real time-saver, not the generation itself. one question: how does it handle brand consistency across iterations — colors, fonts, end-cards staying fixed while the rest changes? for product demos and launch assets specifically, that's usually where prompt-based tools drift.