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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DocuPipe
DocuPipe is an AI-powered document intelligence platform that turns virtually any document into a reliably structured data object. It handles complex formats, handwritten notes, nested tables, checkboxes, multilingual text—and converts the content into consistent JSON or database records. You define what you need with custom schemas and upload PDFs, images or scans, and DocuPipe’s pipeline handles document type classification, OCR, table extraction, form parsing, and schema-based standardization. It supports use cases such as invoices, contracts, loan applications, medical records, purchase orders and receipts. The REST API enables full automation; upload a file, wait a few seconds, then retrieve a parsed text result or standardized JSON according to your schema. DocuPipe emphasizes security and compliance, documents are encrypted in transit and at rest, and the platform is SOC-2, ISO 27001, HIPAA and GDPR-ready.
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ExtractAny
ExtractAny is an AI-powered data extraction platform designed to automatically pull structured data from a variety of sources including websites, documents, and PDFs. It uses advanced algorithms and a visual schema editor to let users define exactly what data to extract without any coding required. Users simply input URLs or files, specify data fields with natural language prompts, and receive the extracted data in JSON format. The platform handles complex layouts, nested content, and dynamic sections, making it highly adaptable. ExtractAny supports real-time task execution and validation to ensure data accuracy. Flexible pricing plans range from free to premium tiers, accommodating individuals and enterprises alike.
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Parsebridge
Product information: Parsebridge is a PDF parsing API that transforms PDFs into clean, structured Markdown. It extracts text, tables, and data from PDF documents with a powerful API built for developers who need reliable document parsing at scale. Complex PDFs, tables, multi-column layouts, nested structures, and scanned pages are handled in one API call, turning the hard parts that usually break other parsers into Markdown you can actually use. Merged cells, nested headers, and complex layouts are parsed correctly instead of coming back garbled. Parsebridge supports live testing by pasting a PDF URL or uploading a PDF to the preview page-one Markdown without an account. It currently supports PDF files only, focusing on extraction quality for PDF documents, with files up to 100MB supported. Under the hood, Parsebridge uses Docling, an open source parser known for table extraction and layout preservation, while the platform handles infrastructure, OCR, scaling, and the API layer on top.
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