Axis AI
There are many options available for extracting data from structured or semi-structured content or documents. These include databases, websites, and paper-based forms. All of these can be easily accessed by machines using templates, predefined or custom rules. Some businesses, such as energy, healthcare, and real estate, still depend heavily on unstructured documents. These documents are difficult for machines to understand because they are inconsistent in form and layout. Axis AI is a better option, offering a revolutionary way to classify and extract information from unstructured content. Axis AI uses proprietary algorithms, including those used for Natural Language Processing (NLP), to read and extract data from sentences, paragraphs, and entire pages written in natural English.
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SS&C Chorus Document Automation
Upload forms and extract the data, including handwriting, scans at low DPI and faxes. Handwriting and low-quality machine prints from paper are extracted more accurately than OCR, humans, OCR, and everyone else. Interested in getting started? Register for a free account and get 30 days of trial. The trusted platform for reading, enriching and delivering data from paper. SS&C Chorus Document Automation has been proven to be the best platform for reading, enriching and delivering data from paper. It is free to use for COVID-19 forms processing and SBA PPP applications. You can also start a 30-day no-risk trial for any other type form. 10k pages per hour, each hour, sorted with 98% accuracy, and digitized with 96% accuracy. Your data entry team can digitize and sort 5,000 pages per hour faster than you. Machine learning was trained on more than 1 billion human-verified data points to achieve unmatched accuracy. Straight-through processing speeds up to 40% without any human intervention
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Nirveda Cognition
Make smarter, faster and more informed decisions Enterprise Document Intelligence Platform turns data into actionable insights. Our platform is a combination of cognitive Machine Learning and Natural Language Processing algorithms that automatically classify, extract and enrich relevant information from your documents. The solution is provided as a service to reduce ownership costs and speed up time to value. How it works CLASSIFY. Ingest structured, semistructured, and unstructured documents. Identify and classify documents using semantic understanding of language and visual cues. Extract. Extracts words, phrases, and sections from printed, handwritten, or tabular data. Detects the presence or absence of a page annotation or signature. You can easily review the extracted data and make corrections. AI uses human corrections for learning and improvement. Enrich. Enrich.
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Google Cloud Natural Language API
Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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