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FisherAI - Your Best Summary Copilot, Supporting ChatGPT & Gemini

Your Best AI Summary Assistant
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FisherAI - Your Best Summary Copilot, Supporting ChatGPT & Gemini
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Introduction

FisherAI is an advanced Chrome extension designed to enhance web browsing efficiency. It offers quick summarization of web and video content, supporting multiple AI models. This tool enables users to analyze webpages, extract key information, and present it concisely. FisherAI is particularly useful for quickly grasping core points from long articles, research reports, or daily news.

Feature

Free and Secure

  • Customizable API key
  • Offline storage on local device
  • Ensures user privacy and data security

Wide Model Support

  • OpenAI models: GPT-3.5, GPT-4, GPT-4O
  • Google models: Gemini-Pro, Gemini-1.5-Pro, Gemini-1.5-Flash
  • Moonshot models: v1 8k/32k/128k
  • Mistral models: Mixtral 8x7b/8x22b
  • Groq models: LLaMA3 70b/8b
  • Other models: LLaMA2 70b, Mixtral-8x7b, Gemma-7b, DeepSeek, Zero-One
  • Support for Ollama local models

Intelligent Summarization and Translation

  • Automatic analysis of webpage and video content
  • Quick generation of summaries and translations
  • Supports YouTube and Bilibili for video summaries and subtitle translation/download

Shortcut Functions

  • Triggered by '/' key
  • Includes translation, summary, polishing, image-to-text, and code explanation

Additional Features

  • Highlight translation
  • Webpage main text extraction
  • Video subtitle download

Efficiency Improvement

  • Saves reading time
  • Facilitates quick browsing and understanding of large information volumes

User-Friendly Interface

  • One-key summary/translation
  • Suitable for all user types

Multi-Scenario Application

  • Academic research
  • Commercial reports
  • Daily news browsing

FAQ

What is FisherAI?

FisherAI is an advanced Chrome extension that helps users quickly summarize web and video content, supporting multiple AI models. It analyzes webpages, extracts key information, and presents it concisely, making it ideal for grasping core points from long articles, research reports, or daily news in seconds.

What are the main features of FisherAI?

FisherAI offers:

  • Free and secure usage with customizable API keys
  • Support for multiple AI models
  • Intelligent summarization and translation of web and video content
  • Video summary and subtitle translation/download for YouTube and Bilibili
  • Shortcut functions for various tasks
  • Additional features like highlight translation and webpage text extraction

How does FisherAI improve efficiency?

FisherAI improves efficiency by:

  • Saving reading time
  • Enabling quick browsing and understanding of large amounts of information
  • Providing one-key summary/translation
  • Offering a user-friendly interface suitable for all types of users

In what scenarios can FisherAI be used?

FisherAI is applicable in various scenarios, including:

  • Academic research
  • Commercial report analysis
  • Daily news browsing
  • Any situation requiring quick information extraction and understanding

Latest Traffic Insights

  • Monthly Visits

    193.90 M

  • Bounce Rate

    56.27%

  • Pages Per Visit

    2.71

  • Time on Site(s)

    115.91

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    0.48%
  • Paid Referrals:
    0.55%
  • Email:
    0.15%
  • Referrals:
    12.81%
  • Search Engines:
    16.21%
  • Direct:
    69.81%
More Data

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AIScraper

This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. 

Features:

* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.

Installation:

```bash
pip install aiscraper
```

Usage:

```python
from aiscraper import AIScraper

Create an instance of the AIScraper class
scraper = AIScraper()

Perform a search for "laptops"
results = scraper.search("laptops")

Print the product titles
for result in results:
    print(result["title"])
```

Documentation:

https://github.com/aiscraper/aiscraper
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