detoxifAI Toxic Comment Blocker

detoxifAI is a tool that can detect toxic language in Google Docs and in Gmail and provide instantaneous feedback by highlighting…

detoxifAI Toxic Comment Blocker: Instantly Detect and Block Toxic Language

detoxifAI Toxic Comment Blocker is a powerful Chrome extension that uses machine learning algorithms to detect toxic language in Google Docs and Gmail. It provides instant feedback by highlighting toxic words, helping to combat cyberbullying and promote positive online behavior. The extension currently supports English language documents only. If you disagree with the result, you can contact us at [email protected]. Protect your loved ones from cyberbullying and online abuse by installing detoxifAI today.

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Extension stats

By: https://www.detoxifai.com

Users: 17

-1

Rating: 5.00

(1)

Version: 1.2.7 (Last updated: 2020-02-27)

Creation date: 2020-02-26

Risk impact: Low risk impact

Risk likelihood:

Low risk likelihood

Manifest version: 2

Size: 60.49K

Email: de*****@gmail.com

URLs: Website ,Privacy policy

Ranking

# 114,570 ▼ 1,401

Other rankings

#7397 in Social Networking ▼ 41 #23 in machine learning algorithms keyword 6 ▲ 1 #138 in algorithm keyword 4 ▲ 6 #240 in comment keyword 22 ▲ 20

Other platforms

Not available on Android

Not available on Firefox

Not available on Edge

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Extension summary

Analyze keywords

detoxifAI is a tool that can detect toxic language in Google Docs and in Gmail and provide instantaneous feedback by highlighting exactly which words are toxic, improving cyberbullying and toxic behavior online constructively.

detoxifAI is powered by novel machine learning algorithms, with an accuracy of over 98%, and is the only toxic comment algorithm that gives live feedback.

Install the Chrome Extension and open up a Google Doc or Gmail to get going. Protect your loved ones from cyberbullying and online abuse today.

The extension currently works on English language documents only.

Disagree with the result? Please email us at [email protected]. While our model is robust, we are still are sill in our infancy and we may get a some classifications wrong.