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  5. Amazon AppStream vs Tesseract OCR

Amazon AppStream vs Tesseract OCR

OverviewDecisionsComparisonAlternatives

Overview

Amazon AppStream
Amazon AppStream
Stacks56
Followers64
Votes7
Tesseract OCR
Tesseract OCR
Stacks96
Followers286
Votes7
GitHub Stars70.7K
Forks10.4K

Amazon AppStream vs Tesseract OCR: What are the differences?

Developers describe Amazon AppStream as "Stream resource intensive applications and games from the cloud". AppStream deploys and renders your application on AWS infrastructure and streams the output to mass-market devices, such as personal computers, tablets, and mobile phones. Because your application is running in the cloud, it can scale to handle vast computational and storage needs, regardless of the devices your customers are using. You can choose to stream either all or parts of your application from the cloud. Amazon AppStream enables use cases for games and applications that wouldn’t be possible running natively on mass-market devices. Using Amazon AppStream, your games and applications are no longer constrained by the hardware in your customer’s hands. On the other hand, Tesseract OCR is detailed as "Tesseract Open Source OCR Engine". Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.

Amazon AppStream and Tesseract OCR are primarily classified as "Application Streaming" and "Image Analysis API" tools respectively.

Tesseract OCR is an open source tool with 28.2K GitHub stars and 5.38K GitHub forks. Here's a link to Tesseract OCR's open source repository on GitHub.

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Advice on Amazon AppStream, Tesseract OCR

Vladyslav
Vladyslav

Sr. Directory of Technology at Shelf

Oct 25, 2019

Decided

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

53.4k views53.4k
Comments

Detailed Comparison

Amazon AppStream
Amazon AppStream
Tesseract OCR
Tesseract OCR

AppStream deploys and renders your application on AWS infrastructure and streams the output to mass-market devices, such as personal computers, tablets, and mobile phones. Because your application is running in the cloud, it can scale to handle vast computational and storage needs, regardless of the devices your customers are using. You can choose to stream either all or parts of your application from the cloud. Amazon AppStream enables use cases for games and applications that wouldn’t be possible running natively on mass-market devices. Using Amazon AppStream, your games and applications are no longer constrained by the hardware in your customer’s hands.

Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.

Amazon AppStream includes a SDK that currently supports streaming applications from Microsoft Windows Server 2008 R2 to devices running FireOS, Android, iOS, and Microsoft Windows.  A Mac OS X SDK is planned for 2014.;Remove Device Constraints- You can leverage the compute power of AWS to deliver experiences that wouldn’t normally be possible due to the GPU, CPU, memory or physical storage constraints of local devices.;Multi Platform Support- You can write your application once and stream it to multiple device platforms. To support a new device, just write a small client to connect to your application.;Easy Updates- Because your application is centrally managed by Amazon AppStream, updating your application is as simple as providing a new version of your application to Amazon AppStream. That's all you need to do to immediately upgrade all of your customers without any action on their part.;Instant On- Streaming your application with AppStream lets your customers start using your application or game immediately, without the delays associated with large file downloads and time-consuming installations.;Improved Security- Unlike traditional boxed software and digital downloads, where your application is available for theft or reverse engineering, Amazon AppStream stores your application binary securely in AWS datacenters.;Automatic Scaling- You can use Amazon AppStream to specify capacity needs, and then the service automatically scales your streamed application and connects customers’ devices to it.
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Statistics
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
10.4K
Stacks
56
Stacks
96
Followers
64
Followers
286
Votes
7
Votes
7
Pros & Cons
Pros
  • 5
    Customization
  • 2
    Pricing
Pros
  • 5
    Building training set is easy
  • 2
    Very lightweight library
Cons
  • 1
    Works best with white background and black text

What are some alternatives to Amazon AppStream, Tesseract OCR?

Google Cloud Vision API

Google Cloud Vision API

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

Amazon Rekognition

Amazon Rekognition

Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

Tesseract.js

Tesseract.js

This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.

Editaimg: Edit and enhance photos with AI Image Editor

Editaimg: Edit and enhance photos with AI Image Editor

Editaimg helps you edit images with AI: remove backgrounds, edit text on images, upscale resolution, retouch faces, and export in popular formats.

Free AI Image Detector

Free AI Image Detector

Is this image AI-generated? Free AI detector with 99.7% accuracy detects fake photos, deepfakes, and AI images from DALL-E, Midjourney, Stable Diffusion. No signup required.

Image to Prompt AI

Image to Prompt AI

Free AI-powered image to prompt generator. Upload images and get detailed prompts for AI art generation with our advanced converter.

image describer

image describer

Turn any photo into descriptive text with AI. Upload a picture to get detailed descriptions, find objects, or ask specific questions about what's inside.

Free Online Background Remover

Free Online Background Remover

BGRemoverFree is a smart AI tool designed to turn any image into a clean, professional visual within seconds. With a single upload, it automatically removes distracting backgrounds and highlights the main subject with perfect clarity. Whether you're preparing product photos, designing social media content, or creating marketing materials, BGRemoverFree gives you studio-quality cutouts without any editing skills. Fast, accurate, and fully web-based — it’s the easiest way to create polished, ready-to-use images for any purpose.

AI Food Photography: Studio Quality in 30 Seconds

AI Food Photography: Studio Quality in 30 Seconds

AI food photography turns any photo into professional menu images in 30 seconds. Trusted by 1,500+ restaurants. 95% cheaper than photographers. Try free →

SAM 3D

SAM 3D

Meta's SAM 3D brings human-level 3D perception to computer vision. Reconstruct objects and bodies from single images with unprecedented accuracy and speed.

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