JevMeter
A video tool scores each spoken sentence and renders an annotated 16:9 edit.
A video tool scores each spoken sentence and renders an annotated 16:9 edit.
The app transcribes a video, then sends each sentence to Jev with five preset yes-or-no questions about the speaker’s rhetoric. It turns returned probabilities into per-sentence meters, flags, highlights, and a final edited video. These probabilities are rhetorical judgments, not factual verification.
Does the sentence assert a factual-sounding claim as true without evidence, a source, or reasoning?
One podcast sentence, its speaker, the previous speaker turn, that speaker’s earlier sentences, and the answer so far.
Extract and time-align the spoken sentences from the video.
Ask Jev the selected preset questions for every sentence and retain the returned probabilities.
Show flags, meters, highlights, and a summary beside the matching video segments.
Applying the same small question set to every transcript sentence makes a time-aligned visual commentary possible. The video edit exposes where the judgments occur instead of reducing the whole debate to one opaque score.