This guide is written for filmmakers, not engineers. No technical knowledge required. Follow each step in order and you'll be searching your footage library before lunch.
METANAS is sold through Gumroad. After you purchase, Gumroad shows two files to download — a one-time Runtime installer and the METANAS app itself.
The Runtime bundles Python, ffmpeg, exiftool, and the Whisper transcription model that METANAS needs to work. Install it once — every future METANAS version will reuse it, so you'll never do this step again.
METANAS needs Python to run its AI pipeline. If you already have Python 3.10 or later installed, skip ahead to Step 3. Otherwise, follow these steps to install it.
Now install the app itself. This is the file you'll re-download for future METANAS versions — always small (~10 MB).
Run the METANAS installer you downloaded from Gumroad. On first launch, METANAS will automatically install its Python dependencies (ffmpeg, Whisper, etc.) — this takes a few minutes the first time only.
METANAS uses Google's Gemini AI to analyse your footage. You need a free API key from Google — think of it as a password that lets METANAS talk to the AI on your behalf. Google's free tier handles around 1,500 clips per day.
Now tell METANAS where your footage lives. This can be your NAS drive, a USB hard drive, or any local folder. If the folder appears in Finder (Mac) or File Explorer (Windows), METANAS can tag it.
Press Start and watch as METANAS works through your clips one by one — reading each video, describing it with AI, and writing the metadata. You don't need to do anything while it runs.
Your footage is now searchable in two places: the Main Archive inside METANAS (with both Exact and Smart search), and in Adobe Premiere, Bridge, and Finder, because the metadata is embedded directly in your files.
You've saved hours of manual metadata work. Every time you shoot, run METANAS on your new clips — it gets faster as your library grows because it skips already-tagged files.