Axis AI
There’s a wide range of solutions available today for automatically extracting data from structured and semi-structured content and documents, such as databases, websites, or paper-based forms, all of which can be easily read by machines using templates or sets of predefined or custom rules. However, some businesses such as real estate, healthcare, energy, and others still rely heavily on unstructured documents. These are inconsistent in layout or form, or contain key information in English-language sentences, paragraphs, or randomly throughout the documents, making them virtually impossible for machines to understand. Axis AI offers a far better choice with a revolutionary solution for classifying and extracting information from unstructured content. Using proprietary algorithms, including those used to perform Natural Language Processing (NLP), Axis AI reads and extracts data from sentences, paragraphs, or entire pages written in natural English.
Learn more
DOCBrains
Documents being an integral part of almost every industry, The majority of such document dominated industries are moving towards automated digital transformation. The actual pain areas are the processing structure of such complex, unstructured and semi-structured documents and Invoices. DOCBrains can automatically fetch files from various sources (Dropbox, Google Drive, Network Drive, email attachments) for you, Or upload your business documents via a secured encrypted environment into the bot. Our document processor engine best practice to ensure each relevant data gets into consideration for further processing using various ICR, OCR and AI algorithms. Document processing activity is truly fast, efficient and with 100% accuracy. Data extraction, validation and export for further processing are the three steps effectively built and implemented in the system.
Learn more
Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
Learn more
PrecisionOCR
PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR).
PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document.
Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records.
Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.
Learn more