Software Alternatives, Accelerators & Startups

Moderation API VS Amazon Rekognition

Compare Moderation API VS Amazon Rekognition and see what are their differences

Moderation API logo Moderation API

Content moderation is tedious and time-consuming. The Moderation API uses artificial intelligence to analyze, detect, extract and even cover up all the kinds of data you rely on. Spend less time moderating with an AI-powered solution.

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.
  • Moderation API Landing page
    Landing page //
    2023-08-29

Welcome to the Moderation API.

The moderation API automates advanced text analysis tasks.

  • Identify personal information and mask it out - also if the user attempts to evade detection.
  • Detect toxic content in real time.
  • Detect and remove profanity - also if the user attempts to evade detection.
  • Analyze the quality of a text and prevent spam.
  • Detect the language of a text.
  • Remove sensitive data from text.

The basic workflow is simple:

  1. Define what type of data you want to detect.
  2. Send a request to the API with content.
  3. We send back the detected values and original content with masked out values.
  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18

Moderation API videos

Ensuring Responsible AI Use with OpenAI's Moderation API

Amazon Rekognition videos

AWS Rekognition Tutorial | Image Recognition using AWS | Amazon Rekognition | AWS Training | Edureka

More videos:

  • Review - Extract Data from Images and Videos with Amazon Rekognition (Level 300)
  • Demo - Can Amazon's Facial Recognition identify my 15 years younger picture? | Amazon Rekognition Demo

Category Popularity

0-100% (relative to Moderation API and Amazon Rekognition)
Content Moderation
100 100%
0% 0
Image Analysis
0 0%
100% 100
NLP And Text Analytics
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Moderation API and Amazon Rekognition

Moderation API Reviews

We have no reviews of Moderation API yet.
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Amazon Rekognition Reviews

2019 Examples to Compare OCR Services: Amazon Textract/Rekognition vs Google Vision vs Microsoft Cognitive Services
Pricing: Amazon Rekognition, Amazon Textract, Google, Microsoft. We don't really care which one you use, but Microsoft did best by our sample data. Textract was a very close second if you only need its headline feature: extracting text from digital documents. If someone wants to email bill -at- amplenote.com with comparable data for other images/services, I can try to...

Social recommendations and mentions

Based on our record, Amazon Rekognition seems to be more popular. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Moderation API mentions (0)

We have not tracked any mentions of Moderation API yet. Tracking of Moderation API recommendations started around May 2021.

Amazon Rekognition mentions (33)

  • Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.
    AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 2 months ago
  • Amazon Rekognition Custom Labels for Bears
    I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 10 months ago
  • “During a gold rush, sell shovels.” What are the shovels in the AI rush?
    For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
  • Serverless Facial Recognition Voting Application Using AWS Services
    Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
  • Amazon Prime Video playback features
    Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
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What are some alternatives?

When comparing Moderation API and Amazon Rekognition, you can also consider the following products

ALTCHA - ALTCHA is a free CAPTCHA alternative that uses a proof-of-work mechanism to protect your website, and online services from spam.

Clarifai - The World's AI

Lasso Moderation - Content moderation tooling out of the box. Easily moderate your content with the help of AI, custom automation and an easy to use dashboard.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

monkeylearn - Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.

Kairos - Facial recognition & mood detection API