YouTube Transcript

Extract, Translate & Send to AI

Extract, Translate, and Analyze YouTube Transcripts with AI

YouTube is the largest video library in the world, but extracting actionable information from videos can be tedious. Our YouTube Transcript Toolgoes beyond simple text extraction. It automatically detects the video's original language, allows you to instantly translate the captions into 12+ global languages, and seamlessly exports the text to ChatGPT or DeepSeek for AI-powered summarization and analysis.

How to Summarize Videos with ChatGPT and DeepSeek

Long podcasts and lectures can take hours to watch. With our built-in AI export feature, you can extract the transcript and send it directly to ChatGPT or DeepSeek in seconds. Simply click the "ChatGPT" or "DeepSeek" button. Our tool will instantly copy the transcript to your clipboard and open the AI chat in a new tab. All you have to do is paste the text and type a prompt like, "Summarize the key points of this video" or "Write a blog post based on this transcript."

On-Page Translation Powered by Google

Need to read a foreign video's transcript in your native tongue? Our tool features an integrated Google Translate engine. Once the original transcript is extracted, simply select your desired language from the dropdown. The tool will instantly translate the text right on the page, preserving the exact context and formatting. This is an invaluable tool for language learners, international researchers, and global content creators.

Why Extract YouTube Captions?

  • Content Repurposing: Convert your video scripts into SEO-optimized blog posts, Twitter threads, or LinkedIn articles in minutes.
  • SEO Boost:Embeding transcripts in your website's HTML gives search engines keyword-rich text to index, helping your video rank higher.
  • Accessibility: Provide text alternatives for hearing-impaired viewers or users who prefer reading over watching.
  • Study & Research: Use CTRL+F to search for specific keywords inside a 2-hour lecture without scrubbing through the video timeline.