OneClick AI is a powerful tool designed to streamline workflows by extracting and summarizing content with a single click. It enhances productivity in project management, cross-team collaboration, individual research, and information sharing. The extension offers multilingual summarization capabilities, simplifies knowledge sharing within organizations, and empowers individual research efforts.
OneClick AI
Instantly understand web content and extract key points with AI-powered summarization and translation with just one click.
Introduction
Feature
One-click Extracting
Generate concise summaries of complex documents instantly. Extract essential elements like title, URL, summary, and translation simultaneously.
Multilingual Summarization
Eliminate language barriers and promote global collaboration by summarizing content in multiple languages.
Enhanced Project Management
Simplify knowledge sharing within organizations by creating and sharing summaries of important documents and insights.
Empowered Individual Research
Generate comprehensive summaries of webpages, articles, and other sources. Customize extraction of key information like author, source, and URL.
Results Auto-copied to Clipboard
All extracted and summarized content is automatically copied to the clipboard for immediate use.
Browser Support
Currently supports Google Chrome.
AI Model
Utilizes OpenAI GPT 3.5 and/or 4, with potential for future model changes.
FAQ
Is OneClick AI free to use?
Currently free, with potential for paid features or premium options in the future. Changes will be communicated in advance.
How often is the extension updated?
The team gathers customer feedback and updates the extension as soon as possible.
How can I contact OneClick AI?
Contact via email at [email protected], report bugs or join the wishlist at https://www.greatcolor.ai/contact, or join the Discord community at https://discord.gg/99gMZYB6bc.
Where can I find release notes?
Release notes are available at http://bit.ly/OneClickAI-ReleaseNotes.
Related Websites
Converting JPG Images to Text Converting a JPG image to text is a process known as Optical Character Recognition (OCR). This technology enables you to extract text from images, scanned documents, and photos. Here's how to do it: Method 1: Online OCR Tools You can use online OCR tools to convert JPG images to text. Here are the steps: 1. Upload your JPG image: Go to an online OCR tool website, such as Online OCR Tools or OCR.space, and upload your JPG image. 2. Select the language: Choose the language of the text in your image. 3. Click on "Convert": The tool will convert the image to text. 4. Download the text: You can download the extracted text as a Word document, PDF, or plain text file. Method 2: Google Drive You can also use Google Drive to convert JPG images to text. Here's how: 1. Upload your JPG image: Upload your JPG image to Google Drive. 2. Right-click on the image: Right-click on the uploaded image and select "Open with" > "Google Docs". 3. The image will be converted: Google Docs will automatically convert the image to text. 4. Edit and download: You can edit the extracted text and download it as a Word document or PDF. Method 3: Adobe Acrobat If you have Adobe Acrobat installed on your computer, you can use it to convert JPG images to text. Here's how: 1. Open Adobe Acrobat: Open Adobe Acrobat on your computer. 2. Create a new document: Create a new document and click on "Tools" > "Recognize Text". 3. Select the image: Select the JPG image you want to convert. 4. Click on "Recognize": Adobe Acrobat will convert the image to text. 5. Edit and save: You can edit the extracted text and save it as a Word document or PDF. These are the three methods to convert JPG images to text. Choose the method that works best for you!
Converting JPG Images to Text Converting a JPG image to text is a process known as Optical Character Recognition (OCR). This technology enables you to extract text from images, scanned documents, and photos. Here's how to do it: Method 1: Online OCR Tools You can use online OCR tools to convert JPG images to text. Here are the steps: 1. Upload your JPG image: Go to an online OCR tool website, such as Online OCR Tools or OCR.space, and upload your JPG image. 2. Select the language: Choose the language of the text in your image. 3. Click on "Convert": The tool will convert the image to text. 4. Download the text: You can download the extracted text as a Word document, PDF, or plain text file. Method 2: Google Drive You can also use Google Drive to convert JPG images to text. Here's how: 1. Upload your JPG image: Upload your JPG image to Google Drive. 2. Right-click on the image: Right-click on the uploaded image and select "Open with" > "Google Docs". 3. The image will be converted: Google Docs will automatically convert the image to text. 4. Edit and download: You can edit the extracted text and download it as a Word document or PDF. Method 3: Adobe Acrobat If you have Adobe Acrobat installed on your computer, you can use it to convert JPG images to text. Here's how: 1. Open Adobe Acrobat: Open Adobe Acrobat on your computer. 2. Create a new document: Create a new document and click on "Tools" > "Recognize Text". 3. Select the image: Select the JPG image you want to convert. 4. Click on "Recognize": Adobe Acrobat will convert the image to text. 5. Edit and save: You can edit the extracted text and save it as a Word document or PDF. These are the three methods to convert JPG images to text. Choose the method that works best for you!It is an online tool that uses Optical Character Recognition (OCR) to make it possible to extract text from images in JPG format.
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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.
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