Uniqode (formerly Beaconstac) provides a QR Code generation solution tailored to meet the needs of businesses regardless of their scale. The solution aims to boost operational efficiency, enhance customer engagement, and optimize marketing ROI, all while keeping costs in check. With a user base exceeding 50,000 across industries such as consumer goods and hospitality, businesses widely adopt it globally.
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Based on our record, Amazon Textract seems to be a lot more popular than Uniqode. While we know about 34 links to Amazon Textract, we've tracked only 1 mention of Uniqode. 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.
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 / 4 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 / 7 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 / 9 months ago
If you are creating Dynamic QR codes for free, it's most probably not safe. You may find QR code solutions like Beaconstac (http://beaconstac.com) which provide you a 14-day free trial to create dynamic QR codes but after the trial period ends, you will have to pay for a subscription to continue using them. Pretty sure that the amount you pay will be justified for the QR codes + all that valuable first party data. Source: about 2 years ago
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