Codex by OpenAI
GitHub Copilot
Tabnine
Kite
Visual Studio IntelliCode
OpenAI
Codeium
Sublime Text
YouTube Summary
AskTube
YouTube Summarizer with ChatGPT
Summarize.tech
Eightify App
YouTube Summary with Claude
Samurai AI
ChatTube.io
YouTube Summary is a tool designed to generate concise summaries of YouTube video content, eliminating the need to watch the entire video. Users simply input the relevant YouTube video link and the system extracts the core insights.
The explosion of content has far outpaced our ability to consume it. Nobody has the time to watch it all, yet missing out on valuable insights and knowledge is a concern for many.
A significant aspect of YouTube Summary is its time efficiency, as it takes less than 30 seconds to get a summary from a video. The platform also features a collection of previously summarized videos by the community, allowing users to access vital information from a wide array of content and topics.
YouTube Summary can be an effective tool for users who want to save time or for those who prefer to read than watch a video. This tool may be particularly useful for content researchers, market analysts or simply anyone keen on extracting information from YouTube videos in a fast, comprehensive manner.
Codex by OpenAI YouTube SummaryNo Codex by OpenAI videos yet. You could help us improve this page by suggesting one.
YouTube Summary's answer:
It's not. There are dozens of other tools like this on the market.
Yet I built my own because none had the summary capabilities that I was looking for.
You see, I am an avid YouTube video watcher. I spend an average of 2 hours a day watching development conferences, podcasts or business talks.
As an experienced data engineer well versed in AI, I developed my own tool using Microsoft Semantic Kernel to summarize the videos and extract the core information without having to watch it all.
I kept it selfishly for myself until my brother convinced me to launch it publicly.
Now you can use this tool for yourself, in order to summarize long business or educational videos, yet without loosing the main substance of it.
Oh, and the tool can also extract the notable quotes from a video.
YouTube Summary's answer:
You want to finally reduce your YouTube "To Watch Later" playlist down to 0 while not loosing the core message of each video while keeping the summaries in your account.
YouTube Summary's answer:
Save time. Summarize video, get the core insights - no need to watch from start to finish.
YouTube Summary's answer:
I am an avid YouTube video watcher. I spend an average of 2 hours a day watching development conferences, podcasts or business talks.
A few months ago, as an experienced data engineer well versed in AI, I developed my own tool using Microsoft Semantic Kernel to summarize the videos and extract the core information without having to watch it all. I developed my own tool using Microsoft Semantic Kernel to summarize the videos and extract the core information without having to watch it all.
I kept it selfishly for myself until my brother convinced me to launch it publicly.
Thanks to this tool, I finally managed to reduce my youtube "To Watch Later" playlist down to 0.
This was a command-line tool at the time, and decided to build a little front-end for it, as well as connecting it to a database, so I could keep past summaries. Slap user-management on top of that, and you have the product in front of you today.
YouTube Summary's answer:
Microsoft Semantic Kernel to harness the power of GPT-4 in my Python back-end. FastAPI, Jinja2 and boostrap. Very simple.
YouTube Summary's answer:
Hi, I am the co-creator of YouTube Summary. Since our first launch, we have worked tirelessly to improve our website. Here are some of the latest features and improvements we've made:
Improved LLM Prompts We have continually upgraded our system as we learned how to enhance the LLM prompts. Now, when you summarize a video, our service categorizes it, and based on the category, the prompt is adapted to ensure the best possible result. This means more accurate and relevant summaries, key points, and quotes.
Amazon Affiliate Program Integration Our latest feature is the detection and addition of sponsored links to Amazon (we participate in the Amazon Affiliate Program). For example, if you use our service with a video like "Top 5 Best 2024 Vacuum Cleaners," you will find direct links to the products on Amazon in our summary. This makes it easy to find and purchase products mentioned in videos.
Community Summarized Videos We are excited to announce that you can now access all the videos that the community has already summarized. This feature allows you to quickly find summaries of popular videos without having to summarize them yourself. It's a great way to save time and benefit from the collective efforts of the YouTube Summary community.
Enhanced Summary Quality We have also focused on improving the overall quality of the summaries, key points, and quotes. Our system now provides clearer, more concise, and more informative summaries, ensuring you get the most important information quickly.
Don't hesitate to leave feedback or propose new ideas here or via email. We are eager to continue improving YouTube Summary and making it the best tool for quickly digesting YouTube content.
Cheers!
Based on our record, Codex by OpenAI seems to be more popular. It has been mentiond 73 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> incorrect, its an o3 finetune. This is Open AI's fault (and literally every AI company is guilty of the same horrid naming schemes). Codex was an old model based on GPT-3, but then they reused the same name for both their Codex CLI and this Codex tool... I mean, just look at the updates to their own blog post, I can see why people are confused. https://openai.com/index/openai-codex/. - Source: Hacker News / 19 days ago
The big step function here seems to be RL on tool calling. Claude 3.7/3.5 are the only models that seem to be able to handle "pure agent" usecases well (agent in a loop, not in an agentic workflow scaffold[0]). OpenAI has made a bet on reasoning models as the core to a purely agentic loop, but it hasn't worked particularly well yet (in my own tests, though folks have hacked a Claude Code workaround[1]). o3-mini... - Source: Hacker News / about 2 months ago
Fine-tuning based learning (pre-trained optimization). For example, a language model (e.g., OpenAI Codex) fine-tuned for the software development tasks. - Source: dev.to / 5 months ago
> there's no CodeGPT, its just GPT4 Codex[1] is OpenAI's CodeGPT. It's what powers GitHub Copilot and it is very good but not publicly accessible. Maybe they don't want something else to outcompete Copilot. [1] https://openai.com/index/openai-codex/. - Source: Hacker News / about 1 year ago
> it would need some human touch but most of the work will be done already By that very loose standard, the matter of time is 2 years 6 months 18 days ago — August 10, 2021 was OpenAI's blog post about the Codex model, with a chat interface producing functional JavaScript: https://openai.com/blog/openai-codex Right now, what I see coming out of these tools (and what I see in the jobs market) gives me the... - Source: Hacker News / over 1 year ago
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
AskTube - Summary and Chat with Video
Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
YouTube Summarizer with ChatGPT - Save your time before spending hours.
Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.
Summarize.tech - GPT3-powered summaries of long YouTube videos.