ttlequals0 / MinusPod

What it does

• An LLM finds ads in the transcript, a second pass verifies the cut, and an optional reviewer confirms or adjusts each boundary. How it works
• Audio evidence backs the transcript. loudness and DAI transitions, a cross-fetch diff against a second download, per-feed jingle cues, and the publisher's own transcript. Audio cues, Transcript differential
• Each detection gets a category (sponsor, cross-promo, self-promo, intro/outro) and a per-feed action: remove, beep, keep, or mark as a skippable chapter
• Low-confidence cuts wait in a review queue with a waveform editor; your corrections become cross-episode patterns so repeat sponsors are caught without another LLM call
• Five per-feed processing modes, from full detection to pass-through