veridive

What is veridive?

veridive is an answer engine designed for the spoken web—the growing body of human knowledge contained in YouTube videos, podcasts, lectures, and interviews. Instead of scrubbing through hours of video to find relevant information, users can ask questions in any language and receive cited answers that jump directly to the exact timestamp where the answer is spoken. The platform searches YouTube live, reads actual transcripts, ranks sources by genuine expertise rather than view count, and provides click-to-play citations on every claim.

Key Features

• DeepQuery Search

  Ask questions about the entire spoken web in any language, with live YouTube search that reads actual transcripts and returns cited answers.

• Exact Timestamp Citations

  Every answer cites the exact second it was spoken, with click-to-play functionality that jumps directly to that moment in the video.

• Authority-Based Ranking

  Sources ranked by genuine expertise per topic using domain-specific credibility signals, not raw channel size or view count.

• DeepContext Library Chat

  Chat with your own trusted library of videos and transcripts for personalized knowledge retrieval.

• Studio Transformation Tools

  Convert any video into slides, quizzes, mindmaps, and flashcards for learning and educational purposes.

Use Cases

• Research & Knowledge Discovery : Researchers and students can quickly find expert insights from YouTube videos and podcasts without watching hours of content.
• Learning & Education : Students and educators can extract key concepts from tutorials, lectures, and interviews, then transform videos into study materials.
• Professional Development : Professionals can access founder thinking, investor insights, and operator knowledge from spoken content for career growth.
• Content Validation : Users can verify information by jumping to the exact timestamp and hearing the original source speak it.
• Coding & Technical How-Tos : Developers can find working solutions from coding tutorials, with freshness weighting to avoid outdated content.

FAQs