Products/Video editing, AI Video Editor/Doza Assist

Doza Assist

Open-source local AI that learns how you edit video

Video editing, AI Video EditorLocal transcription (100% on Mac, no cloud uploads)AI story analysis to surface strongest momentsMy Style feature - learns user's editing style from finished workMultiple style profiles for different types of workExport to Final Cut Pro, Premiere, and DaVinci ResolveMIT open source on GitHubSigned Mac app shipping soon

Our Take

Doza Assist is built for documentary editors who are sick of spending weeks scrubbing through interview footage just to find the moments that actually matter. The My Style feature is the real move here — it learns your editorial voice from finished work rather than serving up generic AI slop, which is the kind of thing that makes pros actually trust the tool instead of ignoring it. Running 100% locally on Mac with no cloud uploads is non-negotiable for anyone paranoid about unreleased content leaking, and being MIT open source means you can fork it and customize it to your workflow without asking permission. A signed Mac app is shipping soon for users who want a GUI instead of the terminal, which is the smart move for wider adoption.

AI-powered video editing tool that transcribes interview footage locally on Mac, runs AI story analysis to surface the strongest moments, and exports rough cuts directly into Final Cut Pro, Premiere, or DaVinci Resolve. Features My Style which learns the user's editing style, pacing, and editorial voice from their finished work.

Problem It Solves
Documentary editors spend days or weeks scrubbing through interview footage hunting for moments that carry the story - the bottleneck of every interview-driven project.
Target Customer
Documentary editors, filmmakers, podcasters, and professionals who work with interview footage
Use Cases
Interview transcription, Story analysis for documentary footage, Automated rough cut generation, Personalized editing suggestions based on user's style, Video production workflow automation
Pricing Details
MIT licensed open source - can fork and customize for free. A signed Mac app is shipping soon for users who prefer a GUI over terminal.
Free Tier
Yes - MIT open source
Differentiator
My Style feature that learns individual editing voice rather than generic AI suggestions, runs 100% locally with no cloud uploads, open source under MIT license
Traction
Customers Mentioned: Corporate video teams (mentioned as potential target in feedback) · Notable Metrics: 46 followers, 78 points, Day Rank #31

Key Facts

Category
Video editing, AI Video Editor
Pricing
Free
Discovered via
product-hunt

The people behind Doza Assist

C

Chris Cardoza

profile

Links

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