Software Alternatives, Accelerators & Startups

Arclab Inbox2DB VS Amazon Textract

Compare Arclab Inbox2DB VS Amazon Textract and see what are their differences

Arclab Inbox2DB logo Arclab Inbox2DB

Arclab Inbox2DB is an email parser software to collect data from incoming messages and insert the information into a database.

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.
  • Arclab Inbox2DB Landing page
    Landing page //
    2022-10-21
  • Amazon Textract Landing page
    Landing page //
    2023-04-13

Arclab Inbox2DB videos

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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 Arclab Inbox2DB and Amazon Textract)
Email Parsing
100 100%
0% 0
OCR
0 0%
100% 100
Email Automation
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 Arclab Inbox2DB and Amazon Textract

Arclab Inbox2DB Reviews

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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 seems to be more popular. 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.

Arclab Inbox2DB mentions (0)

We have not tracked any mentions of Arclab Inbox2DB yet. Tracking of Arclab Inbox2DB recommendations started around Mar 2021.

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 / 7 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 Arclab Inbox2DB and Amazon Textract, you can also consider the following products

Email Parser - Email Parser bridges the gap between the emails you receive and Excel files, Google Sheets and databases. It can capture text from incoming invoices, orders, receipts within the email or the attachments

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.

Mailparser - Extract data from e-mails. Automate your business.

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!

Parserr - Easily extract data from emails and convert it into useable, structured information. Discover the most efficient way of email data extraction that saves time and generates leads for your marketing department

Nanonets OCR - Intelligent text extraction using OCR and deep learning