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  1. cloud.google.com

    4 days agoDocument AI is a document understanding platform that takes unstructured data from documents and transforms it into structured data, making it easier to understand, analyze, and consume. Document AI uses machine learning and Google Cloud to help you create scalable, end-to-end, cloud-based document processing applications.
    • Document AI Overview

      A Document AI processor lies between the document file and a machine learning model that performs document processing and understanding actions. They can be used to classify, split, parse, or analyze a document. Each Google Cloud project needs to create its own processor instances. Processors fit into one of the following categories: Digitize: OCR.

  2. cloud.google.com

    Here is the processing of a French national ID, dropping images from the client: Note: For documents with multiple pages, you can use a PDF or TIFF container. In this example, the two uploaded PNG images are merged by the backend and processed as a TIFF file. And this is the processing of a US driver license, captured with a laptop 720p webcam ...
  3. docs.mulesoft.com

    You can automate the data extraction process by using the IDP API to integrate your document actions with Mule applications and other systems. Integrating with IDP requires creating a connected app, obtaining the access token, and calling the IDP API to execute document actions and retrieve the results.
  4. docs.mulesoft.com

    IDP provides preconfigured Invoice and Purchase Order templates for creating custom document actions. Each template provides a set of expected fields to extract from the document into a structured response. When creating a new document action, choose the type that aligns best with the document to process.
  5. deep-analysis.net

    Oct 25, 2023UiPath looks to have most structured and semi-structured document types well-covered and is working on new unstructured document processing solutions that integrate its Re:infer NLP acquisition. What does this mean for the IDP market? We estimate about $300 million in IDP business will flow to the process automation vendors in 2023.
  6. cloud.google.com

    3 days agoTo learn more about how to implement responsible AI, read Google's recommendations for Responsible AI practices. Refer to the blog post Automate identity document processing with Document AI] for more information on use cases and a sample application code repository.
  7. alphamoon.ai

    Automatic document classification involves using machine learning, computer vision, and natural language processing to categorize documents based on their content, layout, and appearance. Alphamoon Workspace recognizes patterns and predicts the class of a new, unlabelled document.

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