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.
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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.
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NLMatics
Easiest way to extract data points from unstructured text. Simultaneously search through research reports, prospectus, customer requests or feedback to extract, track and analyze meaningful, custom defined data points. Access 100+ unique data points for your investment & risk management strategy. Search and create custom data sets from EDGAR and other public or private sources. Streamline your deal underwriting process. Streamline your capital markets and structured finance legal flow. Instantly extract 100+ data points to categorize, compare and collaborate with your clients. Deconstruct unstructured text in PubMed and clinical trial data into diseases, genes, proteins, symptoms & more. Get all your research in a single place. Bring in research from any source into your workspaces using our Chrome plug-in. Make digital PDFs to machine readable. JSON and HTML output with detailed section hierarchy, multi-level tables, lists, header, footer and watermarks removed.
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Airparser
Revolutionize data extraction with the GPT parser. Extract structured data from emails, PDFs, and documents. Export the parsed data in real-time to any app. Extract signatures, contact information, dates, and key details from human-written emails and text messages effortlessly. Digitize handwritten notes, lists, and more, transforming them into organized and actionable data. Efficiently capture amounts, dates, ordered items, and vendor details from invoices, receipts, and purchase orders. Automatically extract terms, parties involved, and critical data from contracts for simplified contract management. Gather essential details like names, contact information, and work experience from CVs and resumes seamlessly. Streamline order processing by extracting order numbers, items, and delivery details from confirmation documents.
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