TED SMRZR

TED SMRZR

TED SMRZR is an innovative platform designed to provide instant access to summarized content from TEDx Talks. By leveraging advanced AI models, TED SMRZR extracts transcriptions directly from YouTube videos, punctuates the content for readability, and condenses it into insightful summaries. This tool is particularly useful for users who wish to consume the essence of TEDx Talks in a short amount of time.

Offered features include well-translated summaries in different languages and the ability to compare similar talks for deeper insights. Developed by a dedicated team of experts, TED SMRZR streamlines the process of accessing, reading, and understanding the valuable ideas shared in TEDx Talks.

Top Features:
  1. Fetch Transcription: Automatically retrieves transcripts from TEDx videos on YouTube.

  2. Punctuation Model: Utilizes an AI Model to punctuate transcribed data for clarity.

  3. Summary Generation: Converts punctuated transcriptions into brief, cohesive summaries.

  4. Multilingual Translation: Offers well-translated summaries in various languages.

  5. Compare Talks: Enables users to compare summaries of similar TEDx Talks for enhanced understanding.

FAQs:

1) What is TED SMRZR?

TED SMRZR is a tool that transforms TEDx Talks into concise summaries using AI technology.

2) How does TED SMRZR work?

It works by fetching a transcript from a TEDx video, punctuating it with an AI Model, and then summarizing the punctuated transcript into a digestible summary.

3) Can I compare different TEDx Talks using TED SMRZR?

Yes, TED SMRZR allows you to select and compare multiple talk summaries for deeper insights.

4) Are the summaries from TED SMRZR available in different languages?

Yes, the tool provides well-translated summaries in various languages.

5) Who are the creators behind TED SMRZR?

TED SMRZR was developed by a team consisting of Abhinav Prakash (Project lead, cloud + ML), Akash Prasad (code, UI), and Prasun Singh (UI/UX).

Category:

Pricing:

Freemium

Tags:

TEDx
Summarization
AI Model
Transcription
TED SMRZR

Tech used:

Next.js
Node.js
Chakra UI

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