AI Video and Audio Summarization Tool
What is the main use case for Shrinked AI?
Shrinked.ai is designed to turn complex, long-form content—like lectures, podcasts, or meetings—into structured, context-rich summaries. It goes beyond basic bullet points, preserving the depth and key details. For example, it can break down a 1.5-hour Stanford CS lecture into key topics like supervised learning, course logistics, and AI’s impact.
What are some unique features of shrinked.ai?
Shrinked organizes content into detailed, chapter-based sections, referencing hundreds or even thousands of time-stamped quotes for accuracy and context—ensuring you get a rich, structured understanding of any input.
Can a user use Shrinked AI for free?
Yes, Shrinked is free to use with a Creative Commons attribution. If you'd prefer not to attribute, donations are welcome.
How does Shrinked AI transform spoken words into structured documents?
Shrinked AI takes audio and video files and processes them to create structured documents that include transcription, summarization, and additional context. The tool captures nuanced context, speaker insights, and key moments, transforming them into a coherent, organized format. This provides users with a well-organized, rewritten document that is emailed directly to them, ensuring a comprehensive understanding of the original content.
What types of content can Shrinked AI process and convert?
Shrinked AI can process a variety of content types, including podcasts, TED talks, academic lectures, courtroom transcripts, and business discussions. It converts these long-form audio and video files into structured, hierarchical documents with timestamped references, key insights, and automated topic segmentation. This makes it suitable for understanding complex content in a simplified and organized manner.
How does Shrinked AI ensure the credibility and context of the structured data?
Shrinked AI backs all structured data with precise references to the original content, ensuring credibility and context. Each document created by Shrinked AI includes hundreds to thousands of references, providing a trustworthy and contextually rich output. This detailed referencing ensures users have access to the original sources and can verify the information contained within the structured documents.
