Contact person: Business Client

Phone:Show

Email:Show

Location: Wauchope, Australia

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m after a lean web app that turns any YouTube link into short, vertical, “ready-to-share” clips. Paste the URL, press Go, and the tool should automatically:

• Download the video.
• Scan for high-energy, meme-worthy moments and slice out 15--60-second highlights.
• Re-format each highlight to 9:16.
• Optionally layer on a quick “auto-edit” (simple colour filter plus a timed emoji like (skull emoji) when the beat drops or on a cool moment).

Use whichever AI model keeps costs low—OpenAI, Grok Fast, or an open-source alternative—as long as it reliably spots viral segments. A bare-bones UI is fine; performance and ease of deployment matter more than polish.

Tech preferences are flexible. Python or Node with ffmpeg is totally acceptable, and I’ll need:

1. Clean, commented source code.
2. A live MVP running on a modest server or free-tier host.
3. A short read-me so I can redeploy and add new auto-edit presets later.

No hard deadline; steady progress updates and a working demo are all I ask.

Can just be locally run" (client-provided description)