Abstract Summary is a productivity tool designed to help users "Taste Before Reading." Inspired by supermarket tasting programs, it allows users to quickly determine if they are interested in a specific subject by spending only a fraction of the time it would take to read the full article. The tool leverages AI technology to generate summaries of webpages, enabling users to read 3-4 times more information in the same amount of time. The Abstract Summary community also allows users to share their summaries, benefiting others and accelerating the summarization process.
What is Abstract Summary?
How to use
- Install the Chrome Extension. 2. Browse any webpage. 3. Click the Abstract Summary icon. 4. If a summary exists, it will open automatically. 5. If not, approve the information sending request to generate a summary. 6. Enjoy the summary and click the link to read the original article if interested.
Core Features
- AI-powered webpage summarization
- Community-based summary sharing
- Chrome Extension integration
- Quickly assess content relevance
Use Cases
- Quickly determine if a webpage is worth reading in full.
- Share summaries with the community to help others save time.
- Browse summaries of articles within a specific domain.
FAQ
What is Abstract Summary?
Abstract Summary is a community to share summarized information generated by users and AI, leveraging AIGC technology to summarize articles 24/7.
What is AIGC?
AIGC is an artificial technology trained with a large amount of human-generated information to predict the next words in completion.
Could I skip the original article reading with the summary?
It depends, but we strongly encourage you to read the original article if you find the summary interesting. AIGC cannot guarantee everything is accurate and may mislead people.
Pricing
Pros & Cons
Pros
- Saves time by providing quick summaries of webpages.
- Enables users to read more information in less time.
- Community-driven sharing of summaries.
- Easy to use Chrome Extension.
Cons
- AI-generated summaries may not always be perfectly accurate.
- Requires users to read the original article for comprehensive understanding.
- Summary quality depends on the AI's interpretation.