An AWS service for extracting text and structure from scanned documents. It is designed for developers building document workflows who need information from tables, forms, and fields beyond continuous text.
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Read the overview: Amazon Textract: document processing features and setupA Microsoft service for extracting text, tables, and fields from documents. The website presents it as part of the Content Understanding and Foundry environment, so it is important to choose the interface and model that suit the application.
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Read the overview: Azure Document Intelligence: document processing features and setupA tool for extracting data from PDF documents and images using rules and AI options. It suits workflows where you need to define which fields are extracted from a document and where they are sent.
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Read the overview: Docparser: document processing features and setupAn electronic signature and agreement process management platform. Its Intelligent Agreement Management tools connect agreement work with additional business processes.
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Read the overview: Docusign: document processing features and setupA platform for customer journeys and document workflows, from onboarding through renewal.
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Read the overview: EasySend: document processing features and setupA Google Cloud service for building document processors. It combines extraction, classification, and splitting to turn unstructured documents into information that can feed a business workflow.
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Read the overview: Google Document AI: document processing features and setupA tool for extracting fields from recurring email messages using rules. It suits cases where a system sends a structured message but has no direct integration with the system that needs the data.
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Read the overview: Mailparser: document processing features and setupAn API for document processing and structured data extraction. It is designed for developers who want to turn an image or PDF into fields that can be checked and stored in a system.
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Read the overview: Mindee: document processing features and setupAn automation platform for processing information and document-based business workflows. It presents use cases such as invoices, reconciliations, and orders that connect incoming information to workflow rules.
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Read the overview: Nanonets: document processing features and setupA tool for extracting data from documents and email messages. It connects ingestion, processing, and delivery of structured information to spreadsheets and systems where the team continues working.
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Read the overview: Parseur: document processing features and setupA tool for extracting information from email, PDFs, and documents into structured output. It combines different extraction workflows to reduce manual copying into business systems.
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Read the overview: Parsio: document processing features and setupReducto is a document processing platform for AI teams that converts documents into structured data through a single API. It supports PDFs, images, spreadsheets, and presentations in more than 100 languages.
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Read the overview: Reducto: document processing features and setupA document processing platform for business and transaction workflows. It focuses on capturing and validating information as part of a workflow, including invoices and supply chain documents.
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Read the overview: Rossum: document processing features and setupA platform for turning documents and unstructured data into input ready for AI.
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Read the overview: Unstructured: document processing features and setupAn OCR platform and API for business documents such as receipts and invoices. It also includes capture components, allowing you to design a workflow from photo capture through to structured data.
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Read the overview: Veryfi: document processing features and setupAn AWS service for extracting text and structure from scanned documents. It is designed for developers building document workflows who need information from tables, forms, and fields beyond continuous text.
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Read the overview: Amazon Textract: document processing features and setupA Microsoft service for extracting text, tables, and fields from documents. The website presents it as part of the Content Understanding and Foundry environment, so it is important to choose the interface and model that suit the application.
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Read the overview: Azure Document Intelligence: document processing features and setupA tool for extracting data from PDF documents and images using rules and AI options. It suits workflows where you need to define which fields are extracted from a document and where they are sent.
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Read the overview: Docparser: document processing features and setupAn electronic signature and agreement process management platform. Its Intelligent Agreement Management tools connect agreement work with additional business processes.
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Read the overview: Docusign: document processing features and setupA platform for customer journeys and document workflows, from onboarding through renewal.
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Read the overview: EasySend: document processing features and setupA Google Cloud service for building document processors. It combines extraction, classification, and splitting to turn unstructured documents into information that can feed a business workflow.
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Read the overview: Google Document AI: document processing features and setupA tool for extracting fields from recurring email messages using rules. It suits cases where a system sends a structured message but has no direct integration with the system that needs the data.
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Read the overview: Mailparser: document processing features and setupAn API for document processing and structured data extraction. It is designed for developers who want to turn an image or PDF into fields that can be checked and stored in a system.
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Read the overview: Mindee: document processing features and setupAn automation platform for processing information and document-based business workflows. It presents use cases such as invoices, reconciliations, and orders that connect incoming information to workflow rules.
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Read the overview: Nanonets: document processing features and setupA tool for extracting data from documents and email messages. It connects ingestion, processing, and delivery of structured information to spreadsheets and systems where the team continues working.
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Read the overview: Parseur: document processing features and setupA tool for extracting information from email, PDFs, and documents into structured output. It combines different extraction workflows to reduce manual copying into business systems.
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Read the overview: Parsio: document processing features and setupReducto is a document processing platform for AI teams that converts documents into structured data through a single API. It supports PDFs, images, spreadsheets, and presentations in more than 100 languages.
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Read the overview: Reducto: document processing features and setupA document processing platform for business and transaction workflows. It focuses on capturing and validating information as part of a workflow, including invoices and supply chain documents.
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Read the overview: Rossum: document processing features and setupA platform for turning documents and unstructured data into input ready for AI.
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Read the overview: Unstructured: document processing features and setupAn OCR platform and API for business documents such as receipts and invoices. It also includes capture components, allowing you to design a workflow from photo capture through to structured data.
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Read the overview: Veryfi: document processing features and setup
