AI-Powered YouTube Video Summarization and Analysis Service

With so many hours being uploaded every minute to YouTube (approximately 500+), how can anyone keep track of content? Whether it be lessons; instructional videos; interviews; documentaries; conferences; content about anything a person could wish to learn (or just view), there is no way to stay on top of it all because most videos range from 40+ minutes long to 1 hour+, which is also very overwhelming — simply put, people can't consume everything at once and will have missed the most relevant information when they finally get through all the material available. The recent uptick in demand from consumers wanting automated solutions that will help them keep track of items without actually having spent hours watching videos is causing the market for AI analysis to expand at a whopping 45%/year. So, if there is an automated solution to help consumers more easily find the relevant features included in 45%/100% of video uploads on YouTube, then this could potentially save a lot of heartaches and hours of lost time due to lack of finances or other reasons preventing them from being able to learn what they wanted to learn via YouTube. There is no way any person is going to have time to watch all the videos they would like to, so when you are presented with an AI system that is capable of analysing an hour-long YouTube video in roughly a minute to thirty seconds depending on the complexity of the contents of that video, you are really buying yourself some peace of mind and are able to decide right then and there if you want to dig deeper into the video(s) you have.

We do not just transcribe videos word-for-word. We also combine three cutting-edge technologies: NLP (Natural Language Processing), Computer Vision and Deep Learning Algorithms trained on millions of transcripts of video uploads. The ASCN.AI machine captures important keywords, enables clearer identification of major points from a movie or video, will identify when scenes change (from Internet-based video), and will even identify the emotional state of the video presenter (the "speaker") through their voice tone and facial expression. Through this process, it should become possible to fully comprehend how someone wanted a message to be understood.

"After eight years of working with data, we learned one thing: the currency of today is speed. Whoever can identify 'the essence' first, will likely win the business deal. Also, if you happen to find 'the essence' quickly, you won't miss the opportunity in the marketplace."

YouTube contains a lot of valuable data. Automated summary generation will allow you to avoid being overwhelmed by the all-consuming amounts of data on YouTube. Therefore, it is our goal to summarize the essence for you in seconds, rather than hours, using ASCN.AI technology.

In this day and age of instantaneous change, the one who knows first, wins.

What does it provide to you? For a trader, it allows you to react to an incoming cryptocurrency stream almost immediately. For an investor, it allows you to quickly review a startup's pitch without having to spend an hour watching the presentation. And for those involved in automation, it allows you to obtain structured data to support AI agents or "no-code" systems without having to do any additional work or tasks.

AI Technology Based YouTube Video Summary Generation & Analysis

Key Technologies

Summary generation is the process of compressing a large and sometimes convoluted body of text into a concise but meaningful summary, without leaving anything important out. In the past, summary generation was a very time-consuming and challenging process, but today the use of Artificial Intelligence (AI) results in rapid and accurate summary generation.

Three primary technologies are responsible for this:

• NLP — Natural Language Processing — Machines can analyze words and determine the meanings and relationships between them to determine what is important and what is not and highlight important ideas. To demonstrate an example, if the speaker says, "blockchain solves the problem of trust," this becomes an immediate "catch" for the system and marks it as a "must-have" (Key Point).
• Computer Vision — The visual sequence of the video will be analyzed; additionally, it can detect when slides change, and when an interview segment has started. Important visuals, such as graphs and logos, are highlighted. Additionally, gestures and facial expressions indicating emotion will be recorded.
• Speech to Text and Sentiment Analysis — Audio is converted into text format and the tone of voice is assessed (Confidence, Doubt, Outrage). Therefore, this process aids in understanding the actual or deeper meaning of the words spoken.

The combination of these three modules is what produces the multi-level reports, which take only a few minutes to read and give you a solid understanding of the video's content.

Transcription — OpenAI's Whisper has been used for transcription through its accuracy and its ability to transcribe over 50 languages. Whisper's large-v3 version has also been trained on our specific terminology of the cryptocurrency industry, thus enhancing the overall accuracy of the recognition of our terminology.

There have been numerous studies done on how well AI can differentiate between primary and secondary significance in the application of Natural Language Processing (NLP) (e.g. IEEE Transactions on NLP, 2023). In the area of Computer Vision (CVPR Conference, 2023), visual logic will be the determining factor in identifying key points of a subject and the area of Sentiment Analysis will provide a way to assess the emotional response or disposition and/or hidden intention (Financial NLP Journal, 2023) of the person speaking at the present time.

Summary of Summarization Types

Summarization types or methods used to "summarize" a video can be broken down into these two categories:

Extractive — We only extract the most important phrases from the text and assemble them into a summary. Extractive summaries tend to be very close to the main idea, but the assembled text may sound somewhat disjointed. With the Abstractive method, the model recreates content using its own words, making it easier to read and comprehend, although there could be slight differences from the original material. Using the Hybrid method provides the benefits of both methods: Extractive allows you to capture timecodes and quotes; the Abstractive generates a complete document in a logical manner.

For example, take a (hypothetical) 45-minute video regarding Tokenomics. With the Extractive method, the model might create an extract that identifies the sections of the video regarding vesting (for example, at 15:32) and provide links to sections discussing centralisation risk (for example, 28:14). The Abstractive portion would then create a well-written explanation of risk in a single, concise, and complete overview.

How to Use Our Service

How to Upload and Process a Video

Simply enter the desired YouTube video URL into our ASCN.AI interface — no more converting or downloading different video formats because we will automatically pull the feed using the YouTube API.

Our proprietary service will run three concurrent processes to process the video: Speech-to-Text converts spoken language to a written transcript with accurate time codes; Computer Vision interprets video frames for visual information; and Natural Language Processing (NLP) will extract critical ideas and concepts from the transcript.

Your report will include multiple format options, including:

• Executive Summary — 2-3 Paragraphs
• Detailed Outline with Clickable Timecodes
• List of Terms (projects, people, metrics)
• Video Overview, Plus Key Segments Assessment of Video's Mood
• JSON or API Format for Integration with Your System

The processing of one hour of video takes anywhere from 10-30 seconds, although for more complicated videos, some can take up to 60 seconds.

To provide a real-world example, after 25 seconds of processing time, a trader could upload a 90-minute trading stream and have a downloadable summary that includes the main market signals to trade on immediately.

Video Analysis

The following highlights how your video is analyzed:

• Structure and Scenes — The computer vision will draw the boundaries of your video's structure and scenes, such as when your slides are switching or when an interview is taking place.
• Keywords — The Natural Language Processing (NLP) will extract any name, project name, metric, etc that is repeated frequently in your video's transcript (e.g., Uniswap, Vitalik Buterin, APY).
• Sentiment and Emotion — Using sentiment analysis, the report will show whether the speaker is confident or hesitant, which ultimately will help you better assess the credibility and quality of financial reports.
• Contextual Visuals — The computer vision capabilities of the software program will recognize and extract all graph and table visual representations that may correlate with a specific written language from the transcript.

In this way, a 40-minute video pitch presentation by a startup will provide an investor with a single report that contains the most critical points outlining the risk areas associated with investing in the presented startup's business.

Final Summarized Report and Overview

The Reports Summary is available to the task owner in many different ways including:

1. An Executive Summary report that consists of 2 to 3 paragraphs summarising the most critical points of the report for easy viewing.
2. A Detailed Structured report that has time codes in the report to allow for easy navigation through highlights, critical moments, and much more.
3. A Dictionary — A glossary of terms and names used to analyse the reports.
4. Sentiment Analysis report for the correct interpretation of the report information.
5. JSON Export (API) to enable the task owners to import it directly into their CRM or use with AI robots to assist them as needed.

A working example is, an analyst at a conference is able to process 15 videos simultaneously and easily identify the themes and patterns and save significant time as a result of processing these videos.

The Service Offers Greater Efficiency: Time Savings while Viewing Videos

Typically, it takes about 40 minutes to watch one video's complete educational content on YouTube. For example, that means if you needed to "digest" 5-10 clips of that type; your total time savings would easily equal 5 to 7 hours of time wasted on non-information.

With AI summarization, this time has effectively reduced to 1/10-1/15 the time it will typically take you to watch the same video(s) and instead you will only watch 20-30 minutes of pre-determined summit reports (Source: Gartner Research Data 2024).

Example: A trader typically watches 6-9 hours of stream time per week, however, with ASCN.AI they will spend approximately 3-5 minutes gathering information and an additional 15-20 minutes reading through the key points. Conversely, an investor who is studying ten investment pitches of 30-40 minutes each can now use this brief report to evaluate their top two to three picks, therefore saving as much as 70% of the time they would have typically needed to view the material.

Elevated Productivity & Understanding of Content

AI-generated summaries will strip out any unnecessary "fluff," capture the important points that were removed from traditional sources (such as YouTube videos), and delete any unnecessary repetition. Consequently, AI-generated summary reports will contain time codes, which makes it easy to jump directly to the relevant parts of any YouTube video.

From an educational standpoint: You can gather all of the information you need very quickly from various sources. As an example, a novice investor going through eight different videos on DeFi using ASCN.AI analysis will save approximately 10-12 hours of viewing time while getting better retention of the material being viewed by utilizing AI Summarization methods when evaluating such content.

Examples of Applicational Uses By Domain Type

• Marketing & Content Analysis: Competing Organizations, Competitor Trends
• Educational Institutions: Quick Notes for Students & Teachers
• Investment & Due Diligence: Assessing Investment Pitch & Interview Due Diligence Focus on Risks
• Trading & Analytics: Real-Time Market Response To News & Signals
• Automation & AI Agents: Integrated use of No-Code Platforms for AI Data Pipelines

Analysis of AI will support the Speed of Due Diligence and Competitive Intelligence for the Financial & Marketing Industries (CB Insights 2024).

Technical Information: Supported Video Formats & Length

We Can Support Any Publicly Available Video hosted on YouTube — supported by providing the URL link to any Unlisted video; there is no support for any videos restricted by password or pay-wall access.

Video Lengths will range from 1 min. to 5 Hrs., any Video longer than 5 hours will be cut into 5-hour parts; Audio Quality and Video Quality will affect results; Since recordings are of poor quality, the focus will be on audio and transcript over video; video support will be for English, Russian and over 50 additional Languages via the Whisper app.

Integration with YouTube API: All Analysis via YouTube Data API v3 — This means legal retrieval of Video Metadata and Video Subtitles via YouTube; if No Subtitles are Available Automatic Audio Recognition will be Initiated; All Data is Encrypted during Transmission via HTTPS Secure Protocols; Videos are Not Saved, Only Analysis Results are Saved.

Artificial Intelligence Models

• Speech-to-Text: Whisper (OpenAI) large-v3, trained on additional data (crypto terms).
• Natural Language Processing / Summarization: GPT-4 Turbo trained for special cases, BERT trained for entity extraction.
• Computer Vision: YOLOv8 (object detection) and Tesseract OCR (reading text from slides).
• Sentiment Analysis: RoBERTa trained on financial news and crypto content.

Each of these AI models works together in a seamless process; one hour of video can be processed within a range of 10 to 30 seconds. The overall success rate across all types of processing is more than 95%. The percentage success rate will vary based on the quality and the type of the source video — there is no guarantee of 100% accuracy.

Pricing + Plans

Other offers: Packages of 100 videos for $49; Long videos $20/hour extra; Corporate Integration begins at $500.

Frequently Asked Questions (FAQ)

Can you transcribe in other languages besides English/Russian?

Yes! The Speech-to-Text service Whisper will transcribe in over 50 languages. Detailed analysis and sentiment determination are available for English and Russian language videos and summarisation will be available for other languages.

Can I submit a video for analysis if it is private or behind a paywall?

We only support analysis of publicly available content and unlisted video content. If you need to work with private videos, we do provide options through our Enterprise Plan.

How long will it take to process a video after I submit?

The average processing time for a video is between 10-30 seconds for every hour of video content. Complex videos may take up to one minute to process. The Enterprise Plan allows for progressively faster performance.

Can I incorporate summarisation into my applications?

Yes; structured reports on how to automate and/or integrate can be accessed via API (available through Pro and Enterprise Plans).

What happens to my data, including the videos, when I submit them for analysis?

We only store analysis results in your account history. Your original video will not be stored anywhere.

What happens if I find an error in my analysis?

AI is not perfect. We recommend you check important points using your timecodes and provide us with any feedback so we can improve our systems.