Accurate Data Extraction
Amazon Textract uses machine learning and OCR technologies to provide high accuracy in extracting text and structured data from various document formats.
Supports Multiple Formats
Textract can handle different document types, including PDFs, scanned images, and more, making it versatile for various use cases.
Ease of Integration
Amazon Textract offers APIs that are easy to integrate with other AWS services and external applications, enhancing its usability.
Security and Compliance
Being part of AWS, Textract adheres to robust security and compliance standards, ensuring data protection and privacy.
Scalability
Textract is highly scalable and can process large volumes of documents efficiently, catering to both small businesses and large enterprises.
Amazon Textract is an OCR service provided by Amazon Web Services (AWS), specifically designed to extract text and data from scanned documents and images. It not only recognizes text but also comprehends the document's structure, including tables and forms. This capability makes it especially valuable for applications requiring detailed data extraction, such as invoice processing and form digitization. - Source: dev.to / 2 months ago
Did you try textract? https://aws.amazon.com/textract/ In my experience it works amazingly well with columns / tabulated content. - Source: Hacker News / 3 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 / 8 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 / 8 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 / 11 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 / about 1 year 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 / about 1 year ago
AWS has an API for this called Textract. Source: over 1 year ago
Amazon Textract does exactly this. Very reliably too. Been using it in production for a few years now. https://aws.amazon.com/textract/. Source: over 1 year ago
The service: https://aws.amazon.com/textract/. Source: over 1 year ago
Amazon Textract (extracts data from any document). - Source: dev.to / over 1 year ago
We will run amplify push to create these resources in AWS. The AWS services used here are Amazon Rekognition for image recognition and Amazon Textract for document analysis. - Source: dev.to / over 1 year ago
You can use Python to automate data extraction from PDF files and cleaning the data. You can also use OCR tools like Document AI,Nanonets, Textract or other tools which can allow you to extract specific fields from your PDF files. Source: over 1 year ago
Amazon Textract is Machine Learning (ML) powered OCR provided by Amazon Web Services. Amazon Textract is used to extract text, tables, and forms from organized PDF, image(JPEG, PNG), or handwritten documents. The advantages of using Textract are that:. - Source: dev.to / over 1 year ago
From there you can do whatever you need with the PDF doc. In some cases, a PDF Reader library might work for you. In our case, we send these type of docs over to AWS Textract. - Source: dev.to / almost 2 years ago
I saw someone using https://aws.amazon.com/textract/ recently (not in obsidian, totally unrelated application) on ~50 year old handwritten notes and the OCR was shockingly accurate. Haven't used it myself but I was impressed by the results. Looks like there's a free tier as well. Source: almost 2 years ago
Had dabbled with this online tool from Amazon web services: "Intelligently Extract Text & Data with OCR - Amazon Textract - Amazon Web Services” https://aws.amazon.com/textract/ they have a free three month trial of up to 1000 pages per month. Source: almost 2 years ago
Amazon literally sells OCR (Amazon textract)services, if kindle team doesn’t support that it’s gonna be a real xerox moment. Source: almost 2 years ago
Are you looking for a tool like AWS Textract? https://aws.amazon.com/textract/. Source: about 2 years ago
__Unified interface to google vision, aws textract, azure, tesseract and other OCR tools__ The Core objective of OcrPy is to let users OCR, Archive, Index and Search any documents with ease, with a simple and intuitive interface and a powerful Pipeline API. ocrpy achieves this by wrapping around various OCR engines like [Tesseract OCR](https://tesseract-ocr.github.io/), [Aws... Source: about 2 years ago
Try this: https://aws.amazon.com/textract/. Source: about 2 years ago
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