Summarize YouTube Videos
Pastes YouTube links into a Google Sheet and automatically fills in the transcript, summary, key points, and main topics using AI.
What it does
You simply paste YouTube links into a Google Sheet, and the system instantly fills in transcripts, AI-generated summaries, key points, and main topics for each video using Supadata.ai and DeepSeek Chat Model. All results are automatically organized back into your sheet so you can review them immediately without manual transcription work.
Step by step
- Configure the Google Sheets trigger to watch for new rows in a specific column containing video URLs.
- Set up an HTTP request node to POST the video URL to Supadata.ai and parse the JSON response for the transcript text.
- Create a code node that formats the transcript into a structured prompt string with clear instructions for summarization.
Where the LLM does the work
- Craft the system prompt for DeepSeek AI to ensure it outputs concise summaries, distinct key points, and relevant topics without hallucination.
- Define the output schema or formatting rules so the LLM returns data that can be easily parsed back into Google Sheet columns.
Watch out for
Tools that fit
The agent brief
You are helping me build the following AI agent workflow. ## Goal Summarize YouTube Videos: Pastes YouTube links into a Google Sheet and automatically fills in the transcript, summary, key points, and main topics using AI. ## Specification - What it does: You simply paste YouTube links into a Google Sheet, and the system instantly fills in transcripts, AI-generated summaries, key points, and main topics for each video using Supadata.ai and DeepSeek Chat Model. All results are automatically organized back into your sheet so you can review them immediately without manual transcription work. - Trigger: Triggered by an event (Manual · on new row in Google Sheets) - Autonomy: Fully hands-off - Expected setup effort: under an hour - Tools/services involved: - Google Sheets: Input video URLs and store results - Supadata.ai: Generate video transcripts - DeepSeek Chat Model: Create summaries and key points ## Known pitfalls, handle each one explicitly in your implementation 1. Supadata.ai may fail on copyright-protected content, so add error handling to skip invalid URLs and log the failure for manual review. 2. Long transcripts might exceed DeepSeek's context window, so implement logic in the code node to chunk the text before sending it to the LLM. ## Reference implementation https://n8n.io/workflows/5412 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/summarize-youtube-videos-with-ai/ via usecasesforagents.com
Frequently asked questions
Can I use a different Spreadsheet than Google Sheets?
Yes. Google Sheets is only the example spreadsheet in this recipe. The same flow works with Airtable, Baserow and Excel. Swap the spreadsheet connection and keep the rest of the setup as written.
Want this running in your business?
Who it's for
Built for marketers who'd rather brief an agent than start from a blank doc.
Analysts get a ready-made pattern for turning raw numbers into a report someone will actually read.
Works just as well for personal use, no business context needed.