Yandex Vision
Yandex Vision OCR recognizes text in an image and outputs it along with automatic punctuation. The service supports and automatically identifies more than 50 languages. Extract standard fields and recognize text in templates and documents, e.g., passports, driver’s licenses, vehicle registration certificates, and license plates. With support for Russian and English, as well as combinations of handwritten and printed texts. The service scans the table structure and outputs text in row and column coordinates. Optical character recognition (OCR), document recognition, and license plate number recognition. Yandex Vision OCR allows you to work with JPEG, PNG, and PDF formats. File sizes should be no larger than 20 MB with no more than 300 pages per file. The service can scan images and find passports from 20 countries, driver’s licenses, vehicle registration documents, and license plates.
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UBIAI
Leverage UBIAI's powerful labeling platform to train and deploy your custom NLP model faster than ever! When dealing with semi-structured text such as invoices or contracts, preserving document layout is key to training a high-performance model. Combining natural language processing and computer vision, UBIAI’s OCR feature allows you to perform NER, relation extraction, and classification annotation directly on native PDF documents, scanned images or pictures from your phone without losing any layout information, resulting in a significant boost of your NLP model performance. With UBIAI text annotation tool you can perform named entity recognition (NER), relation extraction and document classification all in the same interface. Unlike other tools, UBIAI enables you to create nested and overlapping entities containing multiple relations.
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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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Mistral Document AI
Mistral Document AI is an enterprise-grade document processing solution that combines advanced Optical Character Recognition (OCR) with structured data extraction capabilities. It achieves over 99% accuracy in extracting and understanding complex text, handwriting, tables, and images from various documents across global languages. It can process up to 2,000 pages per minute on a single GPU, offering minimal latency and cost-efficient throughput. Mistral Document AI integrates OCR with powerful AI tooling to enable flexible, full document lifecycle workflows, making archives instantly accessible. It supports annotations, allowing users to extract information in a structured JSON format, and combines OCR with large language model capabilities to enable natural language interaction with document content. This allows for tasks such as question answering about specific document content, information extraction, and summarization, and context-aware responses.
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