Captions vs NotebookLM

NotebookLM is the clear winner: 7.8/10 (B-tier) versus 6.5/10 (C-tier). Captions isn't a bad tool, but on every category that drives the overall score, NotebookLM comes out ahead. The tier gap is repeatable -- not methodology noise -- and the day-to-day experience reflects it.

Pricing-wise, both tools have a free tier (Captions starts $0, NotebookLM starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.

By use case: pick Captions when short-form content creators who mostly do talking-head videos and need polished captions fast. Pick NotebookLM when students researching papers, professionals who need to quickly digest long documents, and anyone who wants to turn a pile of pdfs into something they can query and listen to. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in NotebookLM's lane, the tier-list ranking and the use-case fit point the same direction; if you're in Captions's lane, the score gap matters less than the fit.

Bottom line: NotebookLM is the better tool for most people right now. Pick Captions only when short-form content creators who mostly do talking-head videos and need polished captions fast -- that's its lane, and inside that lane it still earns its place.