Software Alternatives, Accelerators & Startups

Pusher VS Amazon Textract

Compare Pusher VS Amazon Textract and see what are their differences

Pusher logo Pusher

Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

Amazon Textract logo Amazon Textract

Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
  • Pusher Landing page
    Landing page //
    2023-10-05
  • Amazon Textract Landing page
    Landing page //
    2023-04-13

Pusher videos

Mark Kermode reviews Pusher

More videos:

  • Review - Pusher (1996) - Movie Review
  • Review - Film Recommendations: The Pusher Trilogy

Amazon Textract videos

Amazon Textract: First Look

More videos:

  • Review - AWS re:Invent 2018 – Announcing Amazon Textract
  • Review - Introducing Amazon Textract: Now in Preview

Category Popularity

0-100% (relative to Pusher and Amazon Textract)
Mobile Push Messaging
100 100%
0% 0
OCR
0 0%
100% 100
Developer Tools
100 100%
0% 0
Image Recognition
0 0%
100% 100

User comments

Share your experience with using Pusher and Amazon Textract. 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 Pusher and Amazon Textract

Pusher Reviews

SignalR Alternatives
Pusher as a signal Alternative comes into the picture when it is simple and has free plans for the fallback of SSE to make the frame and log polling also available to the developers for troubleshooting as well.
Source: www.educba.com

Amazon Textract 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

Pusher might be a bit more popular than Amazon Textract. We know about 50 links to it since March 2021 and only 34 links to Amazon Textract. 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.

Pusher mentions (50)

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Amazon Textract mentions (34)

  • Classifying and Extracting Data using Amazon Textract
    Amazon Textract has an Analyze Lending API for evaluating and categorizing the documents contained in mortgage loan application packages, as well as extracting the data they contain. The new API can assist in processing applications quicker and with minimal errors, therefore improving the end-customer experience and lowering operational costs. - Source: dev.to / 4 months ago
  • Ask HN: OCR for 100 year old (German) handwritten cursive script?
    You could try something like https://aws.amazon.com/textract/ or https://cloud.google.com/vision/docs/handwriting. Both have support for modern handwriting. I don't know if it will work with a script written a century ago though. - Source: Hacker News / 5 months ago
  • Deploy and Test AWS Step Functions with Node.js
    Create a main.js file inside the look-for-github-profile-step project folder. Implement the code that parses the resume and plucks the GitHub profile URL. This step function is responsible for using Textract (an AI service from AWS) and passing state back to the state machine. - Source: dev.to / 8 months ago
  • Automate invoice processing using AWS Textract
    The primary challenge in processing invoices is extracting the relevant data. This is where Amazon Textract can help. It is a service provided by Amazon Web Services (AWS) that uses advanced Machine Learning (ML) algorithms to automatically extract structured and unstructured data from scanned documents, images, and PDF files. It can detect typed and handwritten text in different types of documents including... - Source: dev.to / 9 months ago
  • Case study: PDF Insights with AWS Textract and OpenAI integration
    First, we’ve decided to leave open-source solutions behind. We’ve used AWS Textract to parse PDF files. This way we don’t rely on the internal structure of the PDF to get text from it (or to get nothing - like in the case of the Uber example). Textract uses OCR and machine learning to get not only text but also spatial information from the document. - Source: dev.to / 10 months ago
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What are some alternatives?

When comparing Pusher and Amazon Textract, you can also consider the following products

Socket.io - Realtime application framework (Node.JS server)

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

ABBYY FineReader - ABBYY's latest PDF editor software, FineReader 16 you can easily convert files like PDF to Excel, PDF to Word, edit, share, collaborate & more with this PDF editor!

PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.

Nanonets OCR - Intelligent text extraction using OCR and deep learning