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.
Key Features:
- Document Categorization: Automatically classify documents based on their content.
- Validation Checks: Identify the presence of required stamps or signatures.
- Custom Actions: Forward documents to specific teams or individuals, or register tasks based on document content.
- Sentiment Analysis: Analyze the sentiment conveyed in the document's text.
- Flexible Storage: Store processed results in your preferred database, filesystem, or spreadsheet.
This API can process multiple documents at once and adapt to your organization’s needs, making it a versatile tool for document automation.
Note: 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.
Note: 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.
Fun fact: Whole application was written without writing the code. Only commands for ChatGPT/Perplexity and some minor code fixes.
Integrated systems: Netlify, Fauna DB, Gemini-2.0-flash
Time spent: 4 hours (70% time resolving issues with authorisation and Fauna DB due to incorrect code from LLM)
Contact: piotr [at] orpi.pl