DocDecoder: Summarize Web Policies with AI

DocDecoder

3.5 | 152 | 0
Type:
Extension Plugin
Last Updated:
2025/08/22
Description:
DocDecoder is a Chrome extension that uses GPT-4 to summarize website legal policies, highlighting positive, negative, and neutral effects.
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Overview of DocDecoder

What is DocDecoder?

DocDecoder is a Chrome extension that utilizes the power of GPT-4 to provide clear and concise summaries of website legal policies. It helps users quickly understand the Terms & Conditions and Privacy Policies of websites before agreeing to them.

How to use DocDecoder?

  1. Install the Chrome Extension: Add DocDecoder to your Chrome browser.
  2. Browse Websites: Visit any website with legal policies you want to understand.
  3. Generate Summary: DocDecoder will use GPT-4 to generate a summary of the policy, highlighting key terms and their effects.

Why is DocDecoder important?

  • Saves Time: Quickly understand legal policies without reading lengthy documents.
  • Highlights Harmful Terms: Flags potentially harmful terms in red.
  • Provides Clarity: Simplifies complex legal language into easy-to-understand summaries.

Features:

  • GPT-4 Powered: Uses advanced AI to extract relevant information.
  • Color Coding: Intuitive color coding to highlight positive, negative, and neutral effects.
  • Unlimited Existing Summaries: Free users can view unlimited existing summaries.
  • AI Assistant: Ask questions about policies and get instant answers.

Customer Reviews:

Ula Thefoo, Founder of Footprint Calculator, praises DocDecoder for unpacking lengthy web policies with GPT-4. Harshana Geeth, Engineer, calls it a game-changer for navigating the digital landscape responsibly. Narendra Solanki, Software developer, highlights it as a much-needed solution for lengthy legal documents.

Where can I use DocDecoder?

DocDecoder can be used on any website with legal policies, including e-commerce sites, social media platforms, and more.

Pricing:

Free users can generate 2 new summaries per month and view unlimited existing ones.

Open Source:

The code is available on GitHub.

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