PackageX OCR API turns any smartphone into an incredibly powerful universal label scanner. It can read every bit of text, including barcodes, QR codes and other information on the label.
Our OCR technology is the best in the industry. It uses proprietary algorithms and deep learning models to extract information from labels.
Our OCR API has been trained using information from more than 10 million labels. This allows for the highest scanning accuracy in the market, at over 95%.
Our technology can scan in low-light conditions and read labels from any angle.
Create your own OCR scanner app to eliminate pen-and-paper inefficiencies.
Our OCR scanner allows you to extract information from printed text or handwritten labels.
Our OCR software is trained using multilingual label data extracted in over 40 countries.
Detect and extract information from barcodes or QR codes.
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Interfacing’s Integrated Management System (IMS ) is an AI-supported platform that brings BPM, QMS, Document Control, and GRC together in one environment. Teams use IMS to design and manage processes, govern documentation, oversee risks, and demonstrate compliance with complete visibility and reliable audit evidence.
Built for sectors that depend on strict oversight, such as aerospace, life sciences, public sector, and financial services, IMS offers real-time monitoring, automated workflows, and AI-driven analytics that strengthen quality and lower operational exposure. The system is ISO 27001 certified and validated for 21 CFR Part 11, ensuring secure and compliant use in regulated operations. IMS also provides low-code automation, process mining, audit tools, training management, CAPA workflows, and dashboards that help organizations improve performance and maintain regulatory control. AI enhances governance, improves precision, and supports continuous compliance.
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PrecisionOCR
PrecisionOCR is an easy-to-use, secure and HIPAA-compliant cloud-based optical character recognition (OCR) platform that organizations and providers can user to extract medical meaning from unstructured health care documents.
Our OCR tooling leverages machine learning (ML) and natural language processing (NLP) to power semi-automatic and automated transformations of source material, such as pdfs and images, into structured data records. These records integrate seamlessly with EMR data using the HL7s FHIR standards to make the data searchable and centralized alongside other patient health information.
Our health OCR technology can be accessed directly in a simple web-UI or the tooling can be used via integrations with API and CLI support on our open healthcare platform.
We partner directly with PrecisionOCR customers to build and maintain custom OCR report extractors, which intelligently look for the most critical health data points in your health documents to cut through the noise that comes with pages of health information.
PrecisionOCR is also the only self-service capable health OCR tool, allowing teams to easily test the technology for their task workflows.
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PaperStream
PaperStream Capture Pro is an advanced software solution designed to convert paper documents and imported digital files into organized, searchable digital data that is ready for any document-management system. It efficiently handles batch scanning with any TWAIN-compatible scanner, ranging from simple desktop models to high-capacity enterprise devices, and incorporates sophisticated image-processing features to enhance scanned images automatically by eliminating noise, correcting skew or rotation, adjusting color discrepancies, and improving overall clarity, which significantly boosts OCR accuracy and readability. The software excels in data extraction with capabilities that include full-text OCR, zonal OCR, barcode and patch-code reading, as well as optical-mark-recognition and handprint recognition for handling handwritten text or checkboxes. Furthermore, it can extract multiple fields from each document, such as information from forms, applications, or surveys, and can intelligently separate documents in mixed batches using methods like blank page detection, barcodes, patch codes, or form-template recognition, all while effectively assigning relevant metadata for easier management. This level of automation not only enhances efficiency but also ensures that organizations can streamline their document processes with greater accuracy and speed.
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