LetsExtract Contact Extractor

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.

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.