Software Alternatives, Accelerators & Startups

Notesnook VS Amazon Textract

Compare Notesnook VS Amazon Textract and see what are their differences

Notesnook logo Notesnook

Notesnook is a simple and private note taking app that keeps your notes organized and synced on your phone, tablet and computer.

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.
  • Notesnook Landing page
    Landing page //
    2023-05-12

Take notes on any device, capture ideas quickly and always keep them encrypted. You don't need an Internet connection to read or take notes because everything works 100% offline. Notesnook encrypts everything on your device. No one except you can read your notes making sure you enjoy privacy without sacrificing on your productivity: • Encrypted cross platform sync • Zero knowledge encryption • No ads or trackers • Secure private vault

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

Notesnook

$ Details
freemium $4.49 / Monthly (UI Themes & accents)
Platforms
Linux Windows Mac OSX Android iOS Edge Google Chrome Safari Firefox

Notesnook features and specs

  • Notebooks & Tags: Yes
  • Prioritise by Colors: Yes
  • Rich Text Editor: Yes
  • Tables & Lists: Yes
  • Secure Private Vault: Yes
  • Timely Backup: Yes

Amazon Textract features and specs

No features have been listed yet.

Notesnook videos

No Notesnook videos yet. You could help us improve this page by suggesting one.

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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 Notesnook and Amazon Textract)
Note Taking
100 100%
0% 0
OCR
0 0%
100% 100
Notes
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 Notesnook and Amazon Textract

Notesnook Reviews

  1. BEST!!!
    🏁 Competitors: Evernote, OneNote
    👍 Pros:    It was working much smoother than evernote.
    👎 Cons:    Some features which are available in evernote for free are available as premium in notesnook.

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, Notesnook should be more popular than Amazon Textract. 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.

Notesnook mentions (84)

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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 / 4 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 / 9 months ago
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What are some alternatives?

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

UpNote - A beautiful and clean cross-platform app for notes organizer

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.

Standard Notes - A safe place for your notes, thoughts, and life's work

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!

Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.

Nanonets OCR - Intelligent text extraction using OCR and deep learning