ToolNest AI

Page Summarizer

Browser extension using GPT to summarize articles and text.

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Page Summarizer

What is Page Summarizer?

Page Summarizer is a browser extension that uses GPT to summarize long-winded articles and text. It's useful for research, news browsing, and quickly extracting key information from web pages and PDF files. It also allows users to fill out text inputs using custom prompts and build profiles with custom instructions.

How to use

Install the extension, provide an OpenAI API key, and then use the extension to summarize web pages, selected text, or PDF content. You can also create custom profiles and prompts.

Core Features

  • Summarize web pages using GPT
  • Summarize selected text
  • Summarize text and PDF file contents
  • Fill out text inputs using custom prompts
  • Build profiles with custom instructions
  • Choose from GPT models (gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, gpt-4-turbo preview)

Use Cases

  • Quickly understand the main points of a news article without reading the entire piece.
  • Extract key information from research papers in PDF format.
  • Summarize lengthy blog posts to save time.
  • Fill out forms or text inputs with custom prompts for efficient writing.

FAQ

Do I need an OpenAI API key to use this extension?
Yes, you need an OpenAI API key to use this extension. You can sign up for one at https://beta.openai.com/signup.
What GPT models are supported?
The extension supports gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, and the new gpt-4-turbo preview.
Is this extension open source?
Yes, this extension is open source and the code is available under the MIT license: https://github.com/sysread/page-summarizer

Pricing

Pros & Cons

Pros
  • Saves time by summarizing long articles and documents.
  • Supports multiple GPT models for different levels of summarization quality.
  • Offers customization through profiles and prompts.
  • Open source and available under the MIT license.
Cons
  • Requires an OpenAI API key, which may incur costs.
  • Summarization quality depends on the chosen GPT model and the complexity of the text.
  • May not always capture all nuances of the original text.