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
Latest Traffic Insights
Monthly Visits
290.25 M
Bounce Rate
55.49%
Pages Per Visit
2.84
Time on Site(s)
113.64
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.68%
- Paid Referrals:0.54%
- Email:0.11%
- Referrals:14.58%
- Search Engines:15.20%
- Direct:68.89%
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Searchable ChatGPT: Search GPT Conversation History With the rapid development of artificial intelligence technology, ChatGPT has become an essential tool for people to communicate and interact with AI. However, as the conversation history grows, it becomes increasingly difficult to find specific conversations or topics. To address this issue, we propose the concept of Searchable ChatGPT, which enables users to search their GPT conversation history efficiently. Key Features 1. Keyword Search Users can input specific keywords or phrases to search for relevant conversations in their chat history. The system will then display a list of conversations that match the search criteria, allowing users to quickly find the information they need. 2. Contextual Search In addition to keyword search, users can also search for conversations based on context. For example, they can search for conversations related to a specific topic, such as "travel" or "cooking." The system will then display a list of conversations that are relevant to the specified context. 3. Conversation Filtering To further refine the search results, users can apply filters to narrow down the list of conversations. For instance, they can filter conversations by date, time, or even the emotions expressed during the conversation. 4. Conversation Analytics Searchable ChatGPT also provides users with conversation analytics, which offer insights into their conversation patterns and preferences. This feature can help users identify areas for improvement and optimize their communication with ChatGPT. Benefits 1. Improved Productivity Searchable ChatGPT saves users time and effort by allowing them to quickly find specific conversations or topics in their chat history. 2. Enhanced User Experience By providing users with a more efficient way to search and analyze their conversations, Searchable ChatGPT enhances the overall user experience and encourages more effective communication with ChatGPT. 3. Better Decision Making With access to conversation analytics, users can make more informed decisions by identifying patterns and trends in their conversations with ChatGPT. Conclusion Searchable ChatGPT is a powerful tool that revolutionizes the way users interact with ChatGPT. By providing a robust search function, contextual search, conversation filtering, and conversation analytics, Searchable ChatGPT improves productivity, enhances the user experience, and enables better decision making.
Searchable ChatGPT: Search GPT Conversation History With the rapid development of artificial intelligence technology, ChatGPT has become an essential tool for people to communicate and interact with AI. However, as the conversation history grows, it becomes increasingly difficult to find specific conversations or topics. To address this issue, we propose the concept of Searchable ChatGPT, which enables users to search their GPT conversation history efficiently. Key Features 1. Keyword Search Users can input specific keywords or phrases to search for relevant conversations in their chat history. The system will then display a list of conversations that match the search criteria, allowing users to quickly find the information they need. 2. Contextual Search In addition to keyword search, users can also search for conversations based on context. For example, they can search for conversations related to a specific topic, such as "travel" or "cooking." The system will then display a list of conversations that are relevant to the specified context. 3. Conversation Filtering To further refine the search results, users can apply filters to narrow down the list of conversations. For instance, they can filter conversations by date, time, or even the emotions expressed during the conversation. 4. Conversation Analytics Searchable ChatGPT also provides users with conversation analytics, which offer insights into their conversation patterns and preferences. This feature can help users identify areas for improvement and optimize their communication with ChatGPT. Benefits 1. Improved Productivity Searchable ChatGPT saves users time and effort by allowing them to quickly find specific conversations or topics in their chat history. 2. Enhanced User Experience By providing users with a more efficient way to search and analyze their conversations, Searchable ChatGPT enhances the overall user experience and encourages more effective communication with ChatGPT. 3. Better Decision Making With access to conversation analytics, users can make more informed decisions by identifying patterns and trends in their conversations with ChatGPT. Conclusion Searchable ChatGPT is a powerful tool that revolutionizes the way users interact with ChatGPT. By providing a robust search function, contextual search, conversation filtering, and conversation analytics, Searchable ChatGPT improves productivity, enhances the user experience, and enables better decision making.Search ChatGPT conversation history instantly. Fully local and private. Press sidebar button or hotkey
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)
* 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.
290.25 M