categorize/about.html at main · plusz/categorize · GitHub

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<!DOCTYPE html>
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  <title>About - Document Categorization API Demo</title>
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            <strong>Document Categorizer</strong>&nbsp;by MarketScanAI
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      <h1 class="title">About</h1>
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          <p>This is a demo of an API powered by a Large Language Model (LLM) designed for intelligent document categorization and processing. The solution can seamlessly integrate into larger systems, automating workflows and enhancing document management processes.</p>
          <h2 class="title is-4 mt-5">Key Features:</h2>
          <ul>
            <li><strong>Document Categorization:</strong> Automatically classify documents based on their content.</li>
            <li><strong>Validation Checks:</strong> Identify the presence of required stamps or signatures.</li>
            <li><strong>Custom Actions:</strong> Forward documents to specific teams or individuals, or register tasks based on document content.</li>
            <li><strong>Sentiment Analysis:</strong> Analyze the sentiment conveyed in the document's text.</li>
            <li><strong>Flexible Storage:</strong> Store processed results in your preferred database, filesystem, or spreadsheet.</li>
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          <p>This API can process multiple documents at once and adapt to your organization’s needs, making it a versatile tool for document automation.</p>
          <p class="mt-5"><strong>Note:</strong> This is a demo version showcasing the capabilities of the API. It can be customized and scaled to fit your business requirements as part of a larger system.</p>
          <p class="mt-5"><strong>Note: </strong>The application does not store the contents of uploaded documents. However, we may store document titles and associated keywords to help us improve our service and enhance application functionality.</p>

          <p><strong>Fun fact: </strong>Whole application was written without writing the code. Only commands for ChatGPT/Perplexity and some minor code fixes.</p>
          <p><strong>Integrated systems: </strong>Netlify, Supabase DB, Gemini-2.0-flash</p>
          <p><strong>Time spent: </strong> 4 hours <i>(70% time resolving issues with authorisation and Supabase DB due to incorrect code from LLM)</i></p>
          <p><strong>Contact:</strong> piotr [at] orpi.pl</p>
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