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How to summarise a YouTube video with Claude

Summarising a long video without watching it all is a much-requested use of Claude. The trick comes down to one point: Claude does not watch the video, it works on its transcript (the text of what is said). Once that text is retrieved, it can produce a summary, pull the key points, or answer precise questions. Here is the step-by-step method, simple and reliable, with the checks to keep.

In short: Get the video transcript (often accessible below the video on YouTube, or via the captions), paste it into a conversation on claude.ai, then ask for the summary you want: ten points, a synthesis, or key points per chapter. Claude works on the text, not the video; verify important figures and quotes in the video.

Get the video transcript

Since Claude works on text, the first step is to obtain the transcript. Many YouTube videos offer a transcript accessible from the interface (below the video, via the options) that you can copy. Otherwise, the captions or a transcription service will do. Then paste that text into a conversation on claude.ai. For a very long video, Claude's large context window lets it handle a lot of material at once; if the transcript is bulky, you can paste it in several chunks or as a file.

Ask for the right kind of summary

Specify what you expect rather than asking for a summary plain. Depending on your need: a ten-point summary, a synthesis paragraph, the main ideas per chapter, or only the conclusions and actions to keep. You can steer it to your goal: to decide quickly, go to the essentials; to learn, keep the explanations. Ask Claude to indicate, when possible, the approximate moment (or the transcript passage) backing each key point, so you can go back and verify in the video.

Query the video beyond the summary

Once the transcript is in the conversation, you can go further than a summary: ask precise questions (what does the video say about a topic, which figures are cited, which arguments are made), ask for the list of tools or references mentioned, or extract the steps of a tutorial as a list. Ask Claude to rely only on the provided transcript and to flag when an answer is not in it, rather than filling the gaps. That is how you turn a video into a searchable source, not just a passive summary.

Check the limits

Two limits to keep in mind. First, the summary is only as good as the transcript: imprecise auto-captions, misspelled proper nouns or missing passages carry over into the result. Second, Claude can misread a statement or overstate one, as with any text. For important items (figures, exact quotes, sensitive claims), go back and verify in the video. This method also applies to a podcast or a recorded meeting: same steps, same precautions. For the general framing, see our guide on how to use Claude.

Frequently asked questions

How do I summarise a YouTube video with Claude?

Get the video transcript (often accessible below the video on YouTube, or via the captions), paste it into a conversation on claude.ai, then ask for the summary you want: ten points, a synthesis, or key points per chapter. Claude works on the text, not the video; verify important figures and quotes in the video.

Can Claude watch a video directly?

No, the summary goes through text: Claude does not watch the video, it processes its transcript. So you first need to retrieve the text of what is said (transcript or captions) before giving it to Claude to summarise or query.

How do I get a YouTube video transcript?

Many videos offer a transcript accessible from the YouTube interface (below the video, via the options), which you can copy. Otherwise, you can use the captions or a transcription service, then paste the resulting text into Claude.

Is Claude's video summary reliable?

It depends on the transcript quality: imprecise auto-captions degrade the result. And as with any text, Claude can misread a statement. Ask it to point to the supporting passages, and verify important figures and quotes directly in the video.

See also: the complete guide to Claude · Claude news in real time

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