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The Sweet Spot for AI Video: Be on Camera Yourself, Hand Editing and Transcripts to AI

Record your own narration on camera and let AI help with the visuals; Astra plus DaVinci Resolve did the most tedious 90% of a six-day vlog edit; Qwen 3 ASR is enough for transcripts.

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  1. The first thing I do when I get home from a trip
  2. The most tedious 90% of editing
  3. You don’t need to pay much for transcripts

I still think you record your own narration and put yourself on camera, and let AI help with the visuals and animation. That’s the sweet spot.

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The first thing I do when I get home from a trip

For travel vlogs, the first thing I do when I get home is hand the footage over to AI for automatic sorting.

Every phone and the DJI get plugged into the Mac mini. Claude Code pulls out everything I shot, dedupes it, and sorts the footage, then exports my Google Maps GPS timeline plus what’s in Gmail and my calendar and cross-checks them all. The end goal is a vlog. Meanwhile I go unpack and do the laundry.

Terminal screenshot: while the DJI copies in the background, Claude Code reads the Google timeline to lay out the itinerary; I remind it that when the timeline looks off it should trust the photos, so it switches to the photos' GPS and image content and runs EXIF analysis on files from both phones

The most tedious 90% of editing

Once the footage is organized, the rest of the editing can completely run on its own.

I used Astra + DaVinci Resolve to cut a six-day vlog. The material was my iCloud items, my Google Maps timeline, and my email. It guessed what my six days looked like on its own, wrote the text, ordered everything, imported it, and found the music. Honestly it did the most tedious 90% of the editing. It used about 40% of the weekly quota on the 20 USD plan.

I also noted this in a postscript to the Luna Max post: DaVinci Resolve Studio wired up to MCP and driven by Luna Max is the god of video post-production in this new world.

Usually by the time the suitcase is unpacked, the vlog is done too.

You don’t need to pay much for transcripts

As for the narration transcripts in the video, the toolchain is actually very lightweight.

Qwen 3 ASR plus a hotwords custom dictionary plus pyannote for speaker diarization is honestly more than enough.


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