Corely is an AI-powered platform that utilizes ChatGPT to summarize YouTube videos, delivering key insights in just 10 seconds. This innovative tool helps users quickly grasp the main points of lengthy videos, enhancing productivity and saving time. Corely is particularly useful for corporate professionals, current affairs enthusiasts, and college students seeking efficient learning methods.
Corely: AI YouTube Summarizer with ChatGPT
AI tool that boosts your productivity - grab key insights from any lengthy videos in 10 seconds.
AI YouTube Summarizer with ChatGPT.
Introduction
Feature
3-Step Summary
Corely provides a comprehensive summary in three parts:
- TLDR (Too Long; Didn't Read)
- Highlights
- Timestamp
Sophisticated AI Pipeline
The platform employs a constantly evolving AI pipeline to ensure:
- Accurate summaries
- Easy-to-read content
Daily Trending Videos
Corely automatically delivers:
- Fresh content
- Hot topics from top channels
User-Friendly Interface
Getting started with Corely is simple:
- Install the extension
- Pin it to your browser
- Click the [Summarize Video] button to view summaries
Multilingual Support
| Current Languages | Future Plans |
|---|---|
| English | 40+ languages |
| Korean |
Upcoming Features
- Testing and combining LLMs for improved summary quality and speed
- Advanced prompt chaining based on video category and topic
FAQ
What types of YouTube videos can Corely summarize?
Currently, Corely can summarize videos with subtitles only.
How long does it take for Corely to summarize a video?
Regardless of the video length, Corely provides summaries in 10-20 seconds.
How does Corely generate summaries?
Corely fine-tunes its training data from top LLM models to extract, analyze, and summarize main YouTube video content from subtitles.
Is Corely a free service?
Corely is currently free, but paid plans are planned for the future.
How does Corely handle user privacy and security?
Corely prioritizes user data protection by:
- Implementing robust security measures
- Never sharing user information with third parties
- Ensuring secure protection of all personal data
Related Websites
Never forget to record your Google Meet video conferences again and find them in the Leexi app in one click.
193.90 M
AI Descriptions for Online Marketplaces: eBay: * The global marketplace where anyone can buy and sell almost anything. Discover unique items, bid on auctions, and find great deals from individuals and businesses worldwide. Amazon: * Your one-stop shop for millions of products, from everyday essentials to the latest gadgets. Enjoy fast shipping, convenient shopping, and a vast selection across all categories. Etsy: * A vibrant community of creative entrepreneurs selling handmade, vintage, and unique goods. Find one-of-a-kind treasures, support small businesses, and discover unique gifts for every occasion.
193.90 M
CO-STAR Prompt Template ========================== Task Description Describe the task you want the AI to perform. Be specific and concise. Input Prompt Provide the input prompt that the AI will receive. This can be a question, a statement, or a scenario. Desired Response Describe the desired response from the AI. What type of answer or output are you expecting? Constraints List any constraints or rules that the AI should follow when generating a response. This can include tone, style, or specific keywords to include or avoid. Evaluation Metrics Describe how you will evaluate the AI's response. What metrics or criteria will you use to determine the quality of the response? Example Output Provide an example of what a good response from the AI might look like. This can help clarify the task and provide a target for the AI to aim for.
CO-STAR Prompt Template ========================== Task Description Describe the task you want the AI to perform. Be specific and concise. Input Prompt Provide the input prompt that the AI will receive. This can be a question, a statement, or a scenario. Desired Response Describe the desired response from the AI. What type of answer or output are you expecting? Constraints List any constraints or rules that the AI should follow when generating a response. This can include tone, style, or specific keywords to include or avoid. Evaluation Metrics Describe how you will evaluate the AI's response. What metrics or criteria will you use to determine the quality of the response? Example Output Provide an example of what a good response from the AI might look like. This can help clarify the task and provide a target for the AI to aim for.Using CO-STAR to Make Your Prompt 10 Times More Effective!
193.90 M
ChatGPT Improvements: Enhanced User Experience: * Seamless Chat History Search: Easily find past conversations and specific messages within your chat history. New Features: * Search your Chat History: A dedicated search bar allows you to quickly locate past interactions, saving time and effort.
193.90 M
)
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
193.90 M