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Jevmeter

Render a live Jev meter over any video: Whisper transcribes, every sentence is scored, and ffmpeg exports a 16:9 edit with flags and a scoreboard. Presets cover debates, calls, and pitches.
Stars
109
Language
Python
License
MIT
Reading time
3 min
Published by
Community
Author
ChetasLua
Last verified
Sep 2026

About this project

Every sentence scored. Every dodge flagged. Rendered as a 16:9 edit you can post. 1. Install (macOS or Linux, needs Python 3.9+): 2. Paste your API key when the installer asks. Get one at console.typesafe.ai/keys. It's saved in your user settings, never in this folder, so it can't end up on GitHub. Drag your video into the terminal, pick a preset, press Enter a few times, and your edited video appears next to the original as .jevmeter.mp4. 🎉.

Quoted from the project's README. Read the full README.

Highlights

  • Four presets: debate (BS index), earnings call (spin), podcast (hot take), and sales pitch (hype).
  • 1,191 Jev calls and 5,955 yes/no answers scored the demo debate for $0.0497.
  • Offers highlight, full-video, or segment output rendered through Pillow and ffmpeg.
  • Presets scored 99% on 200 held-out sentences per eval/RESULTS.md.

Watch out

Meters are Jev probabilities rather than fact-checking, and the installer targets macOS and Linux and needs Python 3.9+ and ffmpeg.

Questions about this entry

Short answers drawn from the linked project or page.

From the Jev guides

Original write-ups on what this entry is for.

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