MyFreeOCR Reviews

Yandex Vision OCR recognizes the text in an image, and outputs that text along with automatic punctuation. The service automatically identifies and supports more than 50 different languages. Extract standard fields and recognize the text in templates and other documents, such as passports, drivers' licenses, vehicle registration certificate, and license plates. Supports Russian and English as well as combinations handwritten and printed text. The service scans table structure and outputs the text in row and columns coordinates. OCR, document recognition and license plate number identification. Yandex Vision OCR supports JPEG, PNG and PDF formats. File sizes must not exceed 20 MB and contain no more than 300 sheets per file. The service can scan images to find passports from up to 20 countries, as well as driver's licences, vehicle registration documents and license plates.

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.