Software Alternatives, Accelerators & Startups

Typora VS Amazon Rekognition

Compare Typora VS Amazon Rekognition and see what are their differences

Typora logo Typora

A minimal Markdown reading & writing app.

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.
  • Typora Landing page
    Landing page //
    2023-07-23
  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18

Typora videos

Building a File Structure in Typora

More videos:

  • Review - Best note-taking software for programmers - Typora

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 Typora and Amazon Rekognition)
Markdown Editor
100 100%
0% 0
Image Analysis
0 0%
100% 100
Text Editors
100 100%
0% 0
OCR
0 0%
100% 100

User comments

Share your experience with using Typora and Amazon Rekognition. For example, how are they different and which one is better?
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Reviews

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

Typora Reviews

  1. Simplicity and elegance

    It is very well built with simplicity in mind. There are several themes and all of them look amazing. I love the "typewriter" and "focus" mode. In contrast with other apps that focus the current window and remove all visibility options, Typora goes one step ahead and fades down all other paragraphs as well.

    👍 Pros:    Beautiful themes|Typewriter mode|Focus mode

10 Best Note Taking Apps for Windows in 2020
If you are a visual person like me, you respond to titles, headings, and specific formatting of text. This is what landed Typora on this list. Typora is extremely customizable. You can make any note in any format you choose. The markdown editor formats text as you type, making note-taking quicker and more effective. You can even create a table of contents to look at specific...

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, Typora should be more popular than Amazon Rekognition. It has been mentiond 84 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.

Typora mentions (84)

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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 / 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 / 11 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: 11 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 Typora and Amazon Rekognition, you can also consider the following products

StackEdit - Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.

Clarifai - The World's AI

Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.

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

iA Writer - Minimal Design, Maximum Focus

Kairos - Facial recognition & mood detection API