How to Use Video in NotebookLM (And Why You Can't)

You recorded a lecture. You downloaded a conference talk. You have a YouTube playlist of tutorials you want to analyze. And you want to feed it all into NotebookLM to generate summaries, briefing docs, and those conversational audio overviews.

One problem: NotebookLM doesn't accept video files. You can't drag and drop an MP4. You can't paste a YouTube link. The upload screen only shows options for Google Docs, PDFs, text files, web links, audio files, and Google Slides. Video isn't on the list.

This isn't an oversight. NotebookLM processes text-based sources. It can synthesize information from documents, but it can't watch a video. If you want to use video content in NotebookLM, you need to convert that video into a format NotebookLM understands: a transcript.

Here's how to actually do it, step by step, without wasting time on methods that don't work.

Why NotebookLM Doesn't Accept Video Files

NotebookLM is a text-processing tool. It's built on large language models that read and analyze written content. When you upload a PDF or paste a web article, NotebookLM extracts the text and uses that as the source for generating summaries, answering questions, and creating study guides.

Video files contain images and audio, not text. NotebookLM can't extract spoken words from an MP4 any more than it can read a JPEG. Google hasn't built video transcription into NotebookLM, even though its parent company (Google) owns YouTube and has access to speech recognition APIs.

That leaves you with two options:

1. Use a tool that transcribes video, then import the transcript into NotebookLM
2. Give up on NotebookLM and use a tool that handles video natively

Most people try option 1. It works, but it adds an extra step. You transcribe the video separately, export the transcript as a text file or Google Doc, then upload that to NotebookLM.

Option 2 skips the workaround entirely. Tools like VidNotes transcribe video and generate summaries, flashcards, and AI chat in one workflow. No separate transcript export needed. We'll cover both approaches below.

The NotebookLM Workaround: Transcribe First, Then Upload

If you're committed to using NotebookLM, here's the workflow that actually works:

Step 1: Transcribe the video

You can't upload video to NotebookLM, but you can upload a transcript. So the first step is to get the video transcribed.

For YouTube videos:

• Use a YouTube transcript generator to extract the captions or transcribe the audio
• Copy the transcript text
• Paste it into a Google Doc
• Upload the Google Doc to NotebookLM

Some YouTube videos have auto-generated captions. Others don't. If captions aren't available, you'll need a tool that uses Whisper or a similar speech-to-text API to transcribe the audio. VidNotes does this automatically, as detailed in this guide to fixing NotebookLM transcript errors.

For local video files:

• Upload the video to a transcription service
• Export the transcript as TXT, PDF, or a Google Doc
• Upload the transcript to NotebookLM

Tools like VidNotes, Otter.ai, or Rev can handle local video files. VidNotes works on iOS, Android, and web (app.vidnotes.app), so you can transcribe from any device. For a detailed comparison of transcription tools, see this review of AI transcription tools.

Step 2: Export the transcript as a text file or Google Doc

NotebookLM accepts these formats:

• Google Docs
• PDFs
• Plain text files (.txt)

If your transcription tool exports as SRT (subtitle format), you'll need to convert it to plain text first. Most tools offer TXT or PDF export directly.

Step 3: Upload the transcript to NotebookLM

Open NotebookLM, create a new notebook or add to an existing one, and upload the transcript. NotebookLM will process it as a source and let you generate summaries, ask questions, and create audio overviews based on the video's content.

Step 4: Generate summaries, briefing docs, or audio overviews

Once the transcript is uploaded, NotebookLM works exactly as it does with any other text source. You can:

• Generate a briefing doc summarizing key points
• Create an audio overview (the conversational podcast feature)
• Ask questions and get answers grounded in the transcript
• Combine the video transcript with other sources (PDFs, articles, notes) for cross-source analysis

The Problem with This Workaround

This workflow technically works, but it's clunky. You're using two separate tools: one to transcribe, one to analyze. You have to export the transcript, save it somewhere, then upload it to NotebookLM. If you want to process multiple videos, you repeat this workflow for each one.

And there's another issue: NotebookLM's transcript errors. If you rely on YouTube captions to get the text, and those captions aren't available, you're stuck. NotebookLM won't tell you why a video can't be processed, because NotebookLM never sees the video in the first place. You're on your own to figure out that the captions are missing and find a fallback transcription method.

That's where tools built for video, not text, have an advantage.

The Better Option: Use a Tool Built for Video

Instead of transcribing separately and importing into NotebookLM, you can use a tool that handles transcription and AI analysis in one workflow. VidNotes is the most straightforward option in 2026.

How it works:

1. Paste a YouTube link or upload a local video file (iOS, Android, web, or Chrome extension)
2. VidNotes transcribes the video automatically using a three-tier fallback system (YouTube captions, secondary API, Whisper audio transcription)
3. Generate an AI summary, flashcards, key points, or action items directly from the transcript
4. Chat with the video using AI to ask questions and get timestamped answers
5. Export the transcript, summary, or flashcards as TXT, PDF, SRT, or Anki-compatible CSV

No separate export and upload. No Google Doc middleman. The transcription and analysis happen in one place.

Why this matters for students and professionals:

• Speed. Paste a link, get a summary in 30 seconds. NotebookLM requires you to transcribe, save, upload, then generate the summary.
• Reliability. VidNotes uses Whisper as a fallback if captions aren't available. NotebookLM has no fallback because it never touches the video. More details on this in the NotebookLM transcript error fix guide.
• Flashcards. VidNotes generates spaced-repetition flashcards from video content. NotebookLM doesn't offer flashcard export. If you're studying for exams, flashcards are more effective than rereading summaries. See how to create flashcards from video lectures for the full workflow.
• Timestamped AI chat. Ask a question, get an answer with a link to the exact moment in the video. NotebookLM doesn't preserve timestamps because it only sees the text, not the video timeline.
• Social video support. VidNotes works with TikTok, Instagram, Vimeo, YouTube, and local files. NotebookLM only accepts text sources, so social videos require manual transcription first.

Pricing: VidNotes offers a free trial. Paid plans are $9.99/month or $49.99/year.

For a detailed comparison of VidNotes and NotebookLM, check out this side-by-side review.

When to Use NotebookLM vs. a Video-First Tool

NotebookLM and video transcription tools solve different problems. Here's when each makes sense:

Use NotebookLM if:

• You're analyzing text-based research: PDFs, articles, reports, and Google Docs
• You need to synthesize information across multiple written sources
• You want conversational audio overviews (NotebookLM's podcast feature is unique)
• You're okay with the extra step of transcribing video separately before uploading

Use a video-first tool (like VidNotes) if:

• Most of your learning material is video: YouTube lectures, online courses, conference talks, training videos
• You need transcripts, summaries, and flashcards from video without a separate export/upload workflow
• You want timestamped AI chat so you can jump to specific moments
• You're studying for exams and need flashcards generated from video content
• You work with social media videos (TikTok, Instagram) or local files, not just YouTube

Comparison: NotebookLM Workaround vs. VidNotes

NotebookLM wins on audio overviews and multi-source synthesis for text research. VidNotes wins on direct video support, flashcards, timestamps, and mobile accessibility.

Alternative Workflows for Video in NotebookLM

If you're determined to use NotebookLM with video, here are a few variations on the workaround:

Option 1: Use YouTube captions + manual copy-paste

If the video has captions, open it on YouTube, click the three-dot menu, select "Show transcript," copy the text, paste into a Google Doc, and upload to NotebookLM. Fast, but only works if captions are available. No fallback.

Option 2: Use a Chrome extension to extract YouTube transcripts

Extensions like YouTube Transcript can pull captions and copy them to your clipboard. Paste into Google Docs, upload to NotebookLM. Same limitation: only works if captions exist.

Option 3: Use Otter.ai or Rev for local videos

Upload your video to Otter.ai or Rev, get the transcript, export as TXT or PDF, upload to NotebookLM. Works for local files, but adds extra cost and steps. Otter.ai is free for short files, but paid plans start at $8.33/month. Rev charges per minute for transcription.

Option 4: Use VidNotes, export transcript, upload to NotebookLM

Transcribe the video in VidNotes, export the transcript as TXT or PDF, then upload to NotebookLM. This gives you the reliability of VidNotes' transcription (with Whisper fallback) plus the audio overview feature in NotebookLM. But at that point, you're paying for two tools and doubling your workflow.

None of these options are as efficient as using a tool built for video from the start.

Frequently Asked Questions

Can NotebookLM transcribe YouTube videos?

No. NotebookLM doesn't have a built-in transcription feature. You need to transcribe the YouTube video separately using a YouTube transcript tool, then upload the transcript to NotebookLM as a text file or Google Doc.

Can I upload MP4 files to NotebookLM?

No. NotebookLM only accepts text-based sources: Google Docs, PDFs, plain text files, web links, Google Slides, and audio files. To use video content, transcribe it first and upload the transcript.

Does NotebookLM work with TikTok or Instagram videos?

Not directly. You'd need to transcribe the TikTok or Instagram video separately, then upload the transcript. VidNotes handles social videos directly without this extra step.

Can I use NotebookLM with Coursera or Udemy videos?

Same process: transcribe the video separately, then upload the transcript. For a guide on transcribing online course videos, see this post on Coursera and Udemy transcription.

What's the best way to transcribe a video for NotebookLM?

Use a tool like VidNotes that has a Whisper fallback for videos without captions. Transcribe the video, export as TXT or PDF, then upload to NotebookLM. Or skip the middle step and use VidNotes for both transcription and AI summaries.

Does NotebookLM generate flashcards from video transcripts?

No. NotebookLM doesn't have a flashcard feature. If you need flashcards, use a tool like VidNotes that generates them automatically from video content. Export them as Anki-compatible CSV files for spaced repetition. More on this in the flashcard generation guide.

Can I use NotebookLM's audio overview feature with video transcripts?

Yes. Once you upload the transcript to NotebookLM, you can generate an audio overview (the conversational podcast feature) just like any other source. The audio overview will discuss the content of the video based on the transcript text.

How long does it take to transcribe a video for NotebookLM?

Depends on the tool. VidNotes processes videos in 30-60 seconds regardless of length. Manual methods (copying YouTube captions, using Rev) take longer.

What if the YouTube video doesn't have captions?

NotebookLM can't help you because it doesn't touch the video. You need a transcription tool that uses Whisper or a similar API to transcribe the audio directly. VidNotes does this automatically as a fallback. Details in this guide to NotebookLM transcript errors.

Is there a free way to transcribe video for NotebookLM?

YouTube's built-in transcript viewer is free if captions are available. Copy the text and paste into a Google Doc. If captions aren't available, you'll need a paid tool or a free tool with limits (like Otter.ai's free tier, which caps monthly minutes).

Pros and Cons of Using Video with NotebookLM

Pros:

• NotebookLM's audio overviews (conversational podcasts) are unique and helpful for reviewing content
• Free to use with a Google account
• Multi-source synthesis works well once transcripts are uploaded
• Good for combining video transcripts with PDFs, articles, and notes in one notebook

Cons:

• No native video support, requires separate transcription step
• Transcript quality depends entirely on your transcription tool
• No flashcard generation
• Timestamps lost after uploading transcript
• No mobile apps, web only
• No fallback for videos without captions
• Social video (TikTok, Instagram) requires manual workarounds

Try the Direct Video Workflow

If you're tired of the two-step process, head to app.vidnotes.app, paste a YouTube link or upload a video, and get a transcript, summary, and flashcards in under a minute. No Google Docs, no export/upload, no missing transcripts.

For more on video transcription, read this comparison of video transcription tools or this guide to turning YouTube videos into study notes.

And if you want to compare NotebookLM and VidNotes side by side, check out the full comparison page.

VidNotes is available on iOS, Android, web (app.vidnotes.app), and Chrome extension. Free trial included. $9.99/month or $49.99/year.