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YouTube transcript to ChatGPT: feed any video to an LLM

Written by the VidWords Team · June 14, 2026 · Updated July 12, 2026 · Report a correction

Pasting a YouTube URL into ChatGPT or Claude is not a reliable, universal way to make the model inspect the full video. Some ChatGPT plans and surfaces support live video or screen sharing, but that is different from portable URL analysis. A transcript gives any text-capable model inspectable source material you can summarize, question, and repurpose. Here's the exact workflow.

The 30-second version

1. Get the transcript: paste the video URL on the VidWords homepage and click Get transcript.
2. Switch the view to plain text and copy it, or use Export → TXT. Use TXT rather than SRT — timestamps add noise and burn tokens without helping the model.
3. In a fresh ChatGPT or Claude chat, type your instruction first, then paste the transcript below it.
4. Include a line telling the model not to add anything that isn't in the transcript. It matters more than it looks — it keeps the output anchored to the real video.
5. Too long for the context window? Split it into halves or thirds and ask for a combined summary at the end — or use VidWords' own summary and chat, which are built for full-length transcripts.

Step-by-step: get a transcript into ChatGPT or Claude

1. Get the transcript. Paste the video URL into the box on the VidWords homepage and click Get transcript. It works for any public video that has captions — auto-generated or creator-uploaded — including Shorts, youtu.be links, and live replays. You'll see the full text as readable paragraphs with clickable timestamps.
2. Copy it as plain text. Switch the view to plain text and copy, or use Export → TXT for a clean block with no timecodes or markup. (SRT, VTT, CSV, and JSON exports are there too if you need them, but TXT is what an LLM wants.)
3. Open ChatGPT or Claude. Start a fresh chat. Any model with a reasonable context window works — ChatGPT, Claude, Gemini, or a local model.
4. Paste with a prompt. Type your instruction first, then paste the transcript below it. Putting the instruction before the text helps the model frame the task. See the example prompts below.
5. Refine with follow-ups. Read the answer, then keep asking in the same chat: "expand point 3," "give me the exact quote," "reformat as a checklist." The transcript stays in context, so follow-ups are cheap and accurate.

That's the whole loop. The only thing that ever causes friction is a transcript that's too long for the model's context window — covered further down.

Prompts that work

The transcript is just raw material; the prompt decides what you get out. Here are four that consistently produce good results. Replace [paste transcript here] with the copied text.

1. Summarize:

Below is the transcript of a YouTube video. Give me:
1. A one-sentence TL;DR.
2. 5–8 key points in the order they appear.
Do not add anything that isn't in the transcript.

[paste transcript here]

2. Key takeaways and action items:

From this video transcript, extract every concrete
recommendation, step, tool, or number mentioned, as a
bulleted list of action items. Skip the filler and intros.

[paste transcript here]

3. Ask the video questions:

Here's a video transcript. Answer only from it, and say
"not covered" if the answer isn't there:
- What budget did they recommend?
- List every product they named.
- What was the main counter-argument?

[paste transcript here]

4. Turn it into an article:

Rewrite this video transcript as a clear, structured blog
post with a headline and subheadings. Keep the speaker's
points and examples; drop the spoken filler. Stay faithful
to what was actually said.

[paste transcript here]

The line telling the model not to invent information matters more than it looks — it keeps the output anchored to the real video instead of plausible-sounding guesses. If you want the full repurposing workflow, the turn YouTube videos into blog posts guide goes deeper.

When the video is too long for the context window

A typical talking-head video runs roughly 130–160 words per minute, so a 90-minute podcast can be 13,000+ words. Most chat models handle that fine today, but very long videos — or smaller/older models — can hit the context limit. Two fixes:

• Chunk it. Split the transcript in half (or thirds), paste each part with "Summarize part 1 of 3, I'll send the rest," then ask for a final combined summary at the end. Tedious but reliable.
• Let VidWords do it. The built-in tools are designed for full-length transcripts, so you skip the copy-paste-and-chunk dance entirely — see the next section.

You might not need to leave VidWords at all

Pasting into ChatGPT is great when you want full control of the prompt. But VidWords has its own AI summaries and chat built right next to the transcript, so for most "what's in this video?" questions you never have to copy anything. Click AI Summary for the key points, or use the chat panel to ask the video direct questions — answers come straight from the transcript, with the timestamped text sitting right beside them so you can verify any claim in seconds. Because it's built for full transcripts, the long-video context problem above simply doesn't come up. The AI summary guide walks through it, and YouTube video to text covers the extraction side.

Skip the copy-paste entirely: chat with the video itself

There's one thing no amount of transcript-pasting gives ChatGPT: eyes. If your questions are about what the video shows — the chart at 12:40, the demo step, the code on screen — AI Watch chats with the video natively. It analyzes the frames as well as the audio, and every answer cites the timestamp (and moment) it came from, so there's nothing to trust blindly and nothing to copy anywhere. Ask it the same questions you'd ask ChatGPT, minus the paste and minus the hallucinated timestamps.

A note on privacy

When you paste a transcript into ChatGPT or Claude, the text goes to that provider under their terms — fine for public videos, worth a second thought for anything sensitive. VidWords' transcript extraction is free for 3 videos per month with no account (25 with a free account), and the built-in AI keeps the whole flow in one place if you'd rather not spread a transcript across services. Plan details are on the pricing page.

FAQ

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