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Summarize YouTube Transcripts

Fetch a YouTube transcript and generate a concise summary.

Summarize YouTube Transcripts workflow in Open FlowSummarize YouTube Transcripts workflow in Open Flow

Fetch a YouTube transcript and generate a concise summary.

Setup

Connect SearchApi in Fetch the transcript and replace YOUR_YOUTUBE_VIDEO_ID with a video ID. Select an available model in Summarize the transcript. In n8n, set the video ID in Fetch the transcript, configure Query Auth with name api_key and your SearchApi key as its value, and connect an OpenAI model in OpenAI Chat Model. Run either format manually.

Behavior

The workflow requests the video’s transcript, joins the returned text segments in order, and summarizes the text. If no transcript is available, it produces no summary. API errors or invalid transcript data stop the run. SearchApi defaults to English; available captions depend on the video and service. The model receives the transcript and may make mistakes, so review the result. Long transcripts can exceed execution or model context limits. Query credentials can appear in service or network logs; keep keys and execution data private.

Inspiration & credits

Changes to the source

  • Explicitly request the youtube_transcripts engine. The source omitted the community node’s resource selection, which defaults to Google search in the checked node version. n8n uses HTTP Query Auth instead of requiring the community node; both formats check the response before summarization.
  • Open Flow uses an AI Agent on the combined text; n8n keeps its 6,000-character splitter and summarization chain. Their summaries can differ.

Adapted from YouTube transcript summarization in Zie619/n8n-workflows. The matching n8n listing credits Pedro Santos. No separate original template license was found.

The collection’s MIT notice is pinned at a later revision. This is the collection notice at that revision; it does not establish a separate original template author’s license. Our changes are listed above; see repository licensing.

MIT License

Copyright (c) 2025 Zie619

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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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