ORANO — AI That Turns Saved Videos into Summaries and Action Plans

What is ORANO?

ORANO is an AI tool built around a familiar problem: people save videos "for later" and never return to them. The service takes saved content — Instagram Reels, Shorts, other social videos, or direct uploads — and, in its own words, "watches, listens, and turns it into a clear plan you can act on." It also handles articles, PDFs, carousels, posts, and repositories.

The analysis covers four layers of each video: visuals (frames, people, products), speech, on-screen text, and source context such as the original post, caption, and surrounding links. From that, ORANO produces summaries, key takeaways, and — when the content is actionable — concrete steps and tasks. Everything is organized into projects, and a chat assistant named "Ori" answers questions across your entire saved library, with voice support.

How ORANO Works

The workflow has five steps. First, save: share a Reel to the app, paste a link, or upload a video. Second, understand: the AI processes speech, captions, frames, and context together. Third, use: you get summaries, step lists, or key picks — for example, a cooking video becomes recipe steps and a recommendation video becomes a shortlist. Fourth, ask: query everything you have saved through Ori. Fifth, connect: export to ChatGPT, Claude, Cursor, or Ollama via link or MCP.

The MCP piece is notable. ORANO hosts a personal, read-only MCP server at https://oranoai.com/mcp/ that lets external agents read your projects, sources, tasks, and memory — but not modify anything. Personal API keys allow agent access as well.

Main Features

• Four-layer video analysis — frames, speech, on-screen text, and source context are processed together rather than as a transcript alone.
• Action extraction — actionable videos are converted into concrete plans, tasks, and next steps instead of just summaries.
• Ori chat assistant — ask questions across your whole saved library, with voice input support.
• ORANO MCP server — a personal, read-only endpoint so agents like Claude can consult your library and tasks.
• Personal API keys — connect your own agents and tools to your saved content.
• Projects and notifications — organize saves into projects and get push notifications on iOS and Android.

Pricing

ORANO's apps are free to download on the App Store and Google Play. An optional ORANO Pro subscription exists as an in-app purchase, but its prices are shown inside the app by Apple and Google rather than on the website. Separately, MCP agent access is sold as a web plan at $5 per month. The page does not itemize what Pro adds beyond labeling it an optional subscription.

Common Use Cases

• Cooking videos into steps — turning a saved recipe Reel into an ingredient list and instructions you can follow.
• Recommendation triage — converting "tools to try" and product videos into a shortlist of picks.
• Learning from explainers — extracting summaries and takeaways from long educational videos you will not rewatch.
• Agent-powered recall — using Claude or other MCP-capable agents to search your saved knowledge without opening the app.
• Content research — collecting posts, articles, and repositories into projects with push-notification follow-ups.

Limitations

Pricing transparency is the clearest gap: ORANO Pro's cost only appears inside the in-app purchase flow, so you cannot see subscription prices on the website. The MCP server is strictly read-only — agents can read projects, sources, tasks, and memory but cannot organize, tag, or modify anything, which limits automation. The four-layer analysis claims are the vendor's own and are not backed by published accuracy figures. No company name, country, founder, or launch year is disclosed on the page; the footer simply reads "© 2026 ORANO." Account deletion and support live on separate pages, and the service is centered on mobile apps with a web app alongside — there is no desktop client.

Summary

ORANO is a save-it-for-later assistant that tries to close the loop between bookmarking a video and actually using what is in it. Its four-layer analysis, action extraction, and library-wide chat are well matched to the Reels-and-Shorts era of content consumption, and the $5/month read-only MCP server is an unusual, agent-friendly touch. The opacity of Pro pricing, the read-only limit on agent access, and the absence of any company information are the main cautions. For heavy savers who want their backlog converted into steps and answers, it is a credible fit; for anyone who needs transparent pricing or write-enabled automation, it requires an in-app look first.