Interactive proof of concept
Novelavia Document Intelligence
Preview a freight document, run the analysis, review extracted fields and validation warnings, correct anything that needs it, and export the result as JSON or CSV.
- Samples use predefined results
- Validation rules run on every result
- No simulated AI results for uploads
Choose a document
Start with a fictional sample, or upload a PDF, JPG or PNG of your own.
Drag and drop a document here
PDF, JPG or PNG · up to 10 MB
Please use fictional or anonymized documents. Freight paperwork often contains confidential business and personal information.
Sample documents
Fictional companies and data. Results for samples are predefined.
Results will appear here
Select a sample or upload a document, then click Analyze Document.
- 1Classify. Identify the document type.
- 2Extract. Read fields with a confidence score each.
- 3Validate. Run business rules on the values.
- 4Review. Confirm or correct flagged fields, then export.
How this demo works
Sample documents
The three samples are fictional documents with predefined results. They show how extraction, field-level confidence, validation and review work. No AI processing runs for samples.
Your own documents
Uploads are previewed in your browser. If live analysis is not enabled on this deployment, nothing is sent anywhere and no simulated AI results are shown. You can still review the document manually.
Built for the real pipeline
The same review interface works with a server-side Gemini integration. Credentials stay on the server, documents are processed in memory, and validation runs on every result.
Help shape Novelavia from day one.
We are looking for U.S. carriers, brokers, dispatch services and freight accounting teams to pilot the MVP. Early access members try new capabilities first and directly influence the roadmap.