2026-06-08

How to send a YouTube video to NotebookLM in one click

NotebookLM is Google's AI research notebook. You add sources (PDFs, websites, YouTube videos), and it summarizes them, answers questions about them, generates study guides, and even creates audio overviews. The bottleneck for most people is getting contentin. PiP Cue solves that for YouTube.

The fast path

1. Open a YouTube video
2. Click the PiP Cue transcript button
3. Click Send to NotebookLM
4. NotebookLM opens with the transcript already in the "Add source" dialog
5. Confirm — the source is added to your notebook

From there, NotebookLM's full toolbox is yours: ask questions, generate summaries, get cited answers, build study guides, create audio overviews.

Why this is faster than the manual way

The manual workflow is: open YouTube, find a transcript site, paste the video URL, wait, copy the transcript, switch to NotebookLM, add source, paste, save. Six steps minimum, often more if the transcript site is slow or has paywalls.

With PiP Cue's NotebookLM hand-off it's one click. The transcript is fetched from YouTube directly, formatted, and dropped into NotebookLM's source picker.

Use cases that work well

• Academic lectures — send the full lecture, then ask NotebookLM "what were the three main arguments?" or "give me 5 questions for self-testing."
• Tech conference talks — send the talk, get a structured summary with timestamps so you can rewatch the parts that matter.
• Long-form interviews — send a 2-hour podcast, get the highlights and the quotes.
• Tutorials you'll come back to — send the tutorial, build a step-by-step study guide.
• Audio overview "deep dives" — combine multiple talks on the same topic, generate a single audio overview that synthesizes them.

What about translation?

You can switch the transcript language before sending — handy if you want NotebookLM to work with the English version of a non-English video. PiP Cue sends whatever language the transcript is currently displaying.

Privacy

The transcript goes directly from your browser to notebooklm.google.com — it doesn't pass through any PiP Cueserver. The transcript itself is fetched from YouTube's public endpoint and is the same one shown in the on-screen captions. Read the full privacy policy for specifics.