The 5 Best Tools to Extract Mentions from YouTube Videos (2025)

YouTube creators mention products, books, tools, and studies constantly. Capturing those mentions manually is tedious. Here are the five most practical ways to do it in 2025, ranked by speed, accuracy, and cost.

1. YouTube Ask (Gemini-powered)

YouTube rolled out an AI panel in 2025 that lets viewers type questions about the video they are watching. You can ask "What books did he mention?" and get a list. This is free, built-in, and requires no installation.

Strengths: Zero setup, instant answers, works on any video with a transcript.

Weaknesses: Answers vanish when you close the panel. There is no persistence, no cross-video memory, and no export. If you watch ten podcasts a week, you start from zero every time. It also misses context — you get a list of titles, but not the timestamps or the reasoning behind each recommendation.

2. Manual transcript search

Open the transcript panel below any YouTube video, use Ctrl+F to search for keywords like "book," "tool," or "supplement," and copy results into a notes app. This is the most accurate method in theory because a human decides what counts as a real mention.

Strengths: Full human judgment, no AI hallucination risk, completely free.

Weaknesses: A two-hour transcript is roughly twenty thousand words. Searching "book" returns fifty-plus irrelevant hits. Sifting through them takes ten to fifteen minutes per video. At five videos a week, that is nearly an hour of manual labor.

3. ChatGPT or Claude (copy-paste)

Copy the full transcript from YouTube, paste it into ChatGPT or Claude, and prompt: "Extract every book, tool, supplement, study, and product mentioned." Large language models handle this well because the task is bounded and factual.

Strengths: High accuracy on clean transcripts, flexible prompts, works with any transcript you can copy.

Weaknesses: You have to copy and paste every transcript manually. A four-hour podcast transcript can exceed the context window of cheaper models, forcing you to chunk it and stitch results together. There is also no timestamp linking — you get a flat list, not a navigable summary.

4. Generic note-taking apps with AI

Tools like Notion AI, Otter.ai, and Readwise can ingest transcripts and surface highlights. Otter transcribes audio directly. Notion AI summarizes pasted text. Readwise captures book mentions if you manually save them.

Strengths: These tools fit into broader productivity workflows. If you already live in Notion, adding a transcript summary is frictionless.

Weaknesses: None of them are designed for mention extraction. Notion AI gives you a generic summary, not a categorized list of books and tools. Otter is built for meeting transcription, not YouTube videos. Readwise only tracks books you manually save — it will not find the ones you missed.

5. Cureyt (specialized mention extractor)

Cureyt is a Chrome extension built specifically for this task. It adds a Find Mentions button to any YouTube video. One click pulls the transcript, sends it to a tuned extraction model, and returns a categorized sidebar: books, tools, supplements, studies, people, and products. Each mention includes a timestamp, a confidence score, and a Buy link where applicable.

Strengths: Purpose-built for mention extraction, one-click operation, timestamps for every mention, persistent library across videos, no copy-paste. The extraction runs on a 128k-token model, so even four-hour podcasts fit in a single pass. Results are cached for seven days, so reopening is instant and free.

Weaknesses: Requires Chrome and a YouTube transcript. Videos without captions or auto-generated transcripts cannot be processed. The free tier covers five extractions per week.

Which tool should you choose?

Tool	Best for	Time per video	Cost
YouTube Ask	Casual, one-off curiosity	30 seconds	Free
Manual transcript	Perfectionists with time	10–15 min	Free
ChatGPT / Claude	Power users who do not mind copy-paste	3–5 min	$20/mo (API or Plus)
Notion / Otter / Readwise	People already in those ecosystems	5–10 min	$8–20/mo
Cureyt	Listeners who want every mention, automatically	30 seconds	Free tier + paid

The bottom line

If you watch one video a month and just want to know what book was mentioned at minute forty-two, YouTube Ask is enough. If you are a researcher who needs perfect accuracy and has unlimited time, manual transcript search is unbeatable.

But if you listen to multiple podcasts a week, want a persistent library of every mention across every episode, and do not want to spend your evening copying and pasting transcripts, a specialized tool is the only scalable option. The time saved on the fifth video alone pays for the setup.