Newest ドキュメント抽出 Solutions for 2024

Explore cutting-edge ドキュメント抽出 tools launched in 2024. Perfect for staying ahead in your field.

ドキュメント抽出

  • AI-powered data extraction from unstructured documents.
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    What is Extracta.ai?
    Extracta.ai is a cutting-edge technology platform designed to extract structured information from any type of unstructured document, including CVs, invoices, receipts, and more. Leveraging advanced AI and OCR technologies, it automates the data extraction process, saving time and reducing errors. The platform supports seamless integration with various applications, ensuring that users can easily access and utilize extracted data for further analysis or operational tasks. The service is versatile, adaptable, and caters to diverse business needs, from small enterprises to large corporations.
    Extracta.ai Core Features
    • AI-driven data extraction
    • OCR technology
    • Supports various document types
    • API integration
    • Customizable extraction parameters
  • Specgen automates tender response processes using advanced AI for efficient, confidential document handling.
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    What is Specgen?
    Specgen is an advanced AI platform designed to streamline and optimize the tender response process. It extracts requirements from PDFs, Word documents, Excel sheets, and PowerPoint files, generating detailed summaries and responses while maintaining total document confidentiality. Specgen facilitates collaborative work by allowing team assignments and validation of responses. The platform includes features like automatic matching of requirements to internal responses, compliance scoring, and bilingual support in English and French. By automating these tasks, Specgen ensures efficiency and accuracy, saving users time and enhancing tender response quality.
  • A modular FastAPI backend enabling automated document data extraction and parsing using Google Document AI and OCR.
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    What is DocumentAI-Backend?
    DocumentAI-Backend is a lightweight backend framework that automates extraction of text, form fields, and structured data from documents. It offers REST API endpoints for uploading PDFs or images, processes them via Google Document AI with OCR fallback, and returns parsed results in JSON. Built with Python, FastAPI, and Docker, it enables quick integration into existing systems, scalable deployments, and customization through configurable pipelines and middleware.
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