Software Alternatives, Accelerators & Startups

Padlet VS Amazon Textract

Compare Padlet VS Amazon Textract and see what are their differences

Padlet logo Padlet

Visual boards for organizing anything.

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.
  • Padlet Landing page
    Landing page //
    2023-03-08

Dostoevsky said that beauty will save the world.

Padlet is a beautiful way to organize and present your team’s files, assets, and ideas. Instead of mind-numbingly boring documents from the 80s or mostly useless folders from the 90s, create visual boards (padlets) that are delightful to look at and fun to contribute to.

Over 30 million people every month actively use Padlet around the world. Here are some of the ways they use it: -Collaborate on files with clients -Store instructional videos -Share marketing assets -Manage real-estate listings on a map -Make slideshows -Create meeting agendas -Solicit feedback -Brainstorm ideas -And more

Dostoevsky would have loved Padlet.

  • Amazon Textract Landing page
    Landing page //
    2023-04-13

Padlet

Website
padlet.com
$ Details
freemium
Platforms
Android iOS Windows Mac OSX Google Chrome Safari Firefox
Release Date
2012 January

Padlet features and specs

  • Post almost anything: Yes
  • Present and share in many ways: Yes
  • Stay private or go public: Yes
  • Organize your ideas visually: Yes
  • Collaborate in real time: Yes
  • Use anywhere on any device: Yes

Amazon Textract features and specs

No features have been listed yet.

Padlet videos

Padlet Review

More videos:

  • Tutorial - Learn Padlet - NEW! Tutorial
  • Tutorial - Padlet Tutorial - How to Get Started Guide 2020

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 Padlet and Amazon Textract)
Collaboration
100 100%
0% 0
OCR
0 0%
100% 100
Content Collaboration
100 100%
0% 0
Image Recognition
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 Padlet and Amazon Textract

Padlet Reviews

We have no reviews of Padlet yet.
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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

Based on our record, Amazon Textract should be more popular than Padlet. It has been mentiond 34 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.

Padlet mentions (14)

  • Organizing and tracking your campaign?
    I use https://padlet.com and it's varying types of padlets to keep track of things, brainstorming, etc. Source: 11 months ago
  • What is the STAAR math test?
    STAAR Math Practice is the state's testing program and is based on state curriculum standards in core subjects including reading, writing, mathematics, science, and social studies. STAAR tests are designed to measure what students are learning in each grade and whether or not they are ready for the next grade. Source: about 1 year ago
  • Strange Web scraping Problem
    From urllib.request import Request, urlopen Req = Request("https://padlet.com") Req.add_header('User-Agent', 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11') Req.add_header('Accept-Encoding','gzip, deflate, br') Req.add_header('Connection','keep-alive') Resp = urlopen(req) Content = resp.read(). Source: over 1 year ago
  • Instructional designers - how do you usually organize & track your feedback during the implementation process?
    We've used Padlet in the past but switched to Menti a year ago or so. There are many other tools, and most have an export feature, which allows you to download the data in a format readable by Excel. In Excel, we code each comment according to the categories covered by our in-house course survey: content, facilitation, duration, pacing, venue, materials, learning, relevance, satisfaction, and likelihood to recommend. Source: over 1 year ago
  • Can you track who anonymously posted on padlet?
    Hi, could anyone tell me if you are able to track who anonymously posted something on padlet.com ? Source: over 1 year ago
View more

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
View more

What are some alternatives?

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

BookWidgets - BookWidgets is an excellent application that let you create engaging exercises in minutes and easily share a varied variety of beautiful and fun activities with your classroom and others.

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.

Quizalize - Quizalize is a leading web-based and mobile-based classroom application that delivers the best and easiest way to differentiates your teaching.

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!

Socrative - Socrative helps teachers engage the class with educational activities to measure and visualize...

Nanonets OCR - Intelligent text extraction using OCR and deep learning