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LunaNotes - Take notes on YouTube

The Simplest Way to Take Notes on YouTube Videos!
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LunaNotes - Take notes on YouTube
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Introduction

LunaNotes is an AI-powered note-taking extension for YouTube that enhances the video-watching experience. It allows users to take notes, capture screenshots, and organize information effortlessly while viewing content. With features like an enhanced editor, screenshot annotation, and AI-powered completions, LunaNotes streamlines the process of capturing and retaining important information from YouTube videos.

Feature

Enhanced Note Editor

  • Cleaner and user-friendly interface
  • Auto-saves notes as you type
  • Various styling options for organized and engaging notes

Screenshot & Annotate

  • Capture important scenes from videos
  • Powerful editor for annotating screenshots
  • Edit screenshots to perfection

Timestamps, Tags & Centralized Tag Management

  • Mark specific video moments with timestamps
  • Categorize notes with tags for quick retrieval
  • New Tags page for convenient tag management
  • View all notes associated with a specific tag in one place

Accessible on Any Device

  • Web app accessible on phones, tablets, and computers
  • Take notes anywhere, anytime

AI-Powered Completions & Integrations

  • Smarter note-taking with AI completions
  • Write notes faster and more efficiently
  • Video summarization and keyword extraction

FAQ

Is LunaNotes free?

Yes, LunaNotes is a free extension that users can start using right away. However, there are affordable subscription options available to unlock additional features and benefits.

What are the main features of LunaNotes?

The main features of LunaNotes include:

  • Enhanced note editor
  • Screenshot and annotate functionality
  • Timestamps and tags
  • Centralized tag management
  • Cross-device accessibility
  • AI-powered completions and integrations

Can I use LunaNotes on any device?

Yes, LunaNotes is accessible on any device, including phones, tablets, and computers, thanks to its versatile web app.

How does LunaNotes use AI?

LunaNotes incorporates AI in several ways:

  • AI-powered completions to help write notes faster and more efficiently
  • AI integrations for video summarization
  • Keyword extraction to focus on important content

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%
More Data

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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.
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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.

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