Amazon Textract is a machine learning service provided by Amazon Web Services (AWS) that enables automatic extraction of text and data from scanned documents. It uses advanced machine learning algorithms to analyze scanned documents, such as PDFs, images, and other files, and extract text, tables, forms, and other structured data.
- Text Extraction: Automatically extracts text from scanned documents with high accuracy.
- Data Extraction: Identifies and extracts structured data such as tables, forms, and key-value pairs.
- Document Classification: Classifies documents into predefined categories or types based on their content.
- Form Recognition: Recognizes and extracts data from forms, including checkboxes, radio buttons, and text fields.
Before learning Amazon Textract, it's beneficial to have:
- Basic AWS Knowledge: Understanding of Amazon Web Services (AWS) and its core services.
- Machine Learning Fundamentals: Familiarity with basic machine learning concepts such as supervised learning, model training, and inference.
- Document Processing: Understanding of document formats, OCR (Optical Character Recognition), and document processing techniques.
- Programming Skills: Proficiency in a programming language such as Python for scripting and interacting with AWS APIs.
By learning Amazon Textract, you gain the following skills:
- Document Processing: Ability to process and analyze scanned documents, including text extraction, table recognition, and form data extraction.
- Machine Learning: Understanding of machine learning techniques and algorithms used in document analysis and data extraction.
- AWS Services Integration: Proficiency in integrating Amazon Textract with other AWS services for further processing and analysis of extracted data.
- Data Extraction: Skills to extract structured data such as tables, forms, and key-value pairs from scanned documents.
contact us
Get in touch with us and we'll get back to you as soon as possible
Disclaimer: All the technology or course names, logos, and certification titles we use are their respective owners' property. The firm, service, or product names on the website are solely for identification purposes. We do not own, endorse or have the copyright of any brand/logo/name in any manner. Few graphics on our website are freely available on public domains.
