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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

An advanced content moderation and chat filtering solution tailored for social media platforms. This robust, scalable, and automated system allows for seamless integration through an API to monitor text, usernames, images, and videos instantaneously. Two Hat’s innovative platform processes over 102 billion interactions per month, including messages and multimedia, all in real-time, ensuring effective classification and filtering. With a focus on identifying and addressing online dangers such as cyberbullying, abuse, hate speech, violent threats, and child exploitation, we empower clients from diverse social networks to create safer and healthier environments for their users. Retain control over your moderation practices with the ability to customize settings, establish adaptable workflows, and implement real-time changes while enjoying complete visibility into our service. In critical situations on your platform, where the safety of individuals is at stake, timely responses can make all the difference. By leveraging our solution, you not only enhance user experience but also contribute to a more secure online community.

Description

EyeRecognize offers a robust suite of APIs for image and video recognition that are easy to integrate into your applications, even if you lack machine learning experience. Our services enable you to recognize objects, individuals, text, scenes, and activities in visual media, while also identifying faces and classifying NSFW content. With our Face Detection and Analysis capabilities, you can locate all faces in images and videos and gather detailed attributes like gender, age, eye characteristics, and emotional expressions. Additionally, our Text Detection feature allows for the extraction of text from various sources, including license plates, street signs, advertisements, and brand logos. We also specialize in detecting NSFW and other potentially inappropriate material in both images and videos. With over four decades of collective experience in developing AI-driven applications, the EyeRecognize team was a pioneer in utilizing machine learning for automating content moderation on social media platforms, setting a standard in the industry. This dedication to innovation ensures that our technology remains at the forefront of image and video analysis.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Photon OS Yes 
PlayFab Yes 
PubNub Yes 

Integrations

Photon OS No 
PlayFab No 
PubNub No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Two Hat

Founded

2012

Country

Canada

Website

www.twohat.com/community-sift/

Vendor Details

Company Name

EyeRecognize

Founded

2019

Website

eyerecognize.ai/

Product Features

Content Moderation

Artificial Intelligence No 
Audio Moderation No 
Brand Moderation No 
Comment Moderation No 
Customizable Filters No 
Image Moderation No 
Moderation by Humans No 
Reporting / Analytics No 
Social Media Moderation No 
User-Generated Content (UGC) Moderation No 
Video Moderation No 

Product Features

Content Moderation

Artificial Intelligence No 
Audio Moderation No 
Brand Moderation No 
Comment Moderation No 
Customizable Filters No 
Image Moderation No 
Moderation by Humans No 
Reporting / Analytics No 
Social Media Moderation No 
User-Generated Content (UGC) Moderation No 
Video Moderation No 

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

Alternatives

Alternatives

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