Summarify Pro-YouTube and Audio Transcript Summarizer

Summarify Pro-YouTube and Audio Transcript Summarizer | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Summarify Pro-YouTube and Audio Transcript Summarizer Samiksha Pradeep Kene, Atharva Kiran Andhare, Kirti Pravin Mopari, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6614043/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Context: If someone wants to get information from a long video or audio file, they usually have to sit through the entire thing just to find what they need. That takes a lot of time and effort. Summerify Pro was built to fix that. It creates quick, clear summaries so users can get the main idea fast without having to watch or listen to everything from start to finish. Objective: Our main goal was to build Summerify Pro a tool that uses GPT and other large language models (LLMs) to pull out the most important parts from long YouTube videos and audio recordings. The idea is to make it way easier for people to get the key info without all the extra work. Method: We set up a system that uses the YouTube API to pull transcripts from videos and then ran those transcripts through GPT models to create summaries. Results: Summerify Pro did exactly what we hoped. It gave solid, easy-to-follow summaries that stayed true to what the original video or audio was about. People who tried it said the summaries made it much easier to understand the main points without having to go through the whole thing. For example, a 60-minute lecture on quantum physics got broken down into a 5-minute summary that still included the big ideas, important equations, and the lecturer’s conclusions, all without losing accuracy. Conclusion: Summerify Pro makes it way easier for students, professionals, and researchers to get to the point. Instead of spending hours watching or listening, they can quickly scan a summary and get what they need. This shows how powerful LLMs can be when it comes to saving time and making content easier to understand. Software Engineering Summerify Pro YouTube audio transcript summarizer GPT large language models (LLMs) transcript extraction summarization productivity accurate summary time-saving key information Full Text Additional Declarations The authors declare potential competing interests as follows: Summarize briefly or state "as detailed in the manuscript Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6614043","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":453399025,"identity":"e51d508b-026a-41d8-815a-c8525fa949c1","order_by":0,"name":"Samiksha Pradeep Kene","email":"","orcid":"https://orcid.org/0009-0003-1507-1856","institution":"Prof Ram Meghe College of Engineering and Management","correspondingAuthor":false,"prefix":"","firstName":"Samiksha","middleName":"Pradeep","lastName":"Kene","suffix":""},{"id":453399026,"identity":"aefbfc70-5199-45e4-89af-e029b88670cd","order_by":1,"name":"Atharva Kiran 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