gl4d3 / oracle-inventory

Repo for using machine learning and optical character recognition to implement document analysis

OCI Invoice Analyzer: From Paper to JSON in a Flash!

This project lets you upload invoices and other documents to Oracle Cloud Infrastructure (OCI) Storage. It then leverages OCI's Document Analysis service to extract key data and deliver a JSON response.

Features:

• Streamlined document upload experience
• Secure storage of documents in OCI Storage buckets
• Powerful document analysis powered by OCI
• User-friendly JSON response for easy data extraction

Getting Started:

1. Prerequisites: Have an OCI account with appropriate permissions for Object Storage and Document Analysis services.
2. Set Up Environment Variables: Replace the following placeholders in oci.js with your OCI credentials:
   • OCI_TENANCY_ID
   • OCI_USER_ID
   • OCI_FINGERPRINT
   • OCI_PRIVATE_KEY_PATH
3. Run the Application:
   • Install dependencies: npm install
   • Start the server: node index.js

Usage:

1. Open the application in your web browser (usually http://localhost:3000).
2. Enter the name of the OCI Storage bucket where you want to store your document.
3. Provide a descriptive name for the document you're uploading.
4. Select the document file to upload (e.g., PDF, DOCX).
5. Click "Upload" to submit the document.

Response:

Upon successful upload and analysis, you'll receive a JSON response containing extracted information from your document.

Contributing:

We welcome contributions to this project! Feel free to fork the repository and submit pull requests with enhancements or bug fixes.

License:

This project is licensed under the MIT License.

Disclaimer: This is a basic example. Implement robust error handling and security measures in a production environment.