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    ComPDF AI Engine

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    Deployed on AWS
    The ComPDF AI Engine supports self-hosted deployment to extract key info from documents. Accurately parse documents and convert them into structured data. It integrates seamlessly with CRM, ERP, and other systems for efficient document processing.

    Overview

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    The ComPDF AI Engine is ready for self-hosted deployment, supporting multiple platforms and operating systems. This helps developers overcome deployment challenges when using ComPDF AI.

    What is ComPDF AI? ComPDF AI is a comprehensive, all-in-one intelligent document processing service provided by ComPDF, designed to meet the complex document processing needs of businesses. It offers efficient solutions for smart document extraction, full-text parsing, and enterprise knowledge management, enabling you to easily convert documents into structured data, streamline workflows, and boost productivity.

    Key Benefits of ComPDF AI:

    • Deploy on your own servers or trusted third-party servers to ensure data security. Both GPU and CPU versions are available for flexible selection.
    • Capable of processing millions of documents per hour with 99% accuracy, greatly improving operational efficiency.
    • Offers out-of-the-box templates and customizable solutions, tailored to your business needs.

    With ComPDF AI, you can effortlessly handle various document types and automate workflows for greater efficiency.

    Highlights

    • Leverages Key-Value Pair (KVP) technology to extract critical information from documents,Supports both customized rule-based extraction and AI-powered extraction
    • Enables custom extraction templates for key information extraction from one type of document and batch processing
    • Seamlessly integrates with CRM and ERP systems

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    ComPDF AI Engine

     Info
    Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    Please review our policies at https://www.compdf.com/terms-of-service 

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Newly launched product; please refer to the Long description for function details.

    Additional details

    Usage instructions

    Important notes

    • Port mappings with Container port 3022 & 7000 with "protocol:tcp" and "appProtocol:grpc"
    • AWS Fargate is recommended * Minimum task memory 16 GB * Minimum task CPU is 4 vCPU * Minimum task GPU 24GB* Recommend start/stop Timeout is 120

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