Pretty nice app to share and to see how the people share the thoughts here
Based on our record, X (Twitter) seems to be a lot more popular than Amazon Textract. While we know about 883 links to X (Twitter), we've tracked only 34 mentions of 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.
If you like it, don't hesitate to follow my on X 😊. Source: 6 months ago
If you have faith in my comics be a disciple of me and follow on X insta or FB . Thank you and God bless. Source: 6 months ago
Connect with me via Twitter / Instagram / Github & subscribe to my Youtube Channel. - Source: dev.to / 6 months ago
If you like this pick, follow me on Twitter for more! BOL if tailing! Source: 6 months ago
Thanks for reading. Follow me on Twitter for more cookies :). - Source: dev.to / 7 months ago
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
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
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
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
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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