[Demo video [1–2] min]
Recorded using sample data prepared by DESOL; no customer data is used.
The challenge
Manual data entry is time-consuming and error-prone
Before
- Staff enter each invoice into the system manually
- Errors occur when checking amounts, tax codes and document dates
- Documents in multiple formats and languages are difficult to process in bulk
After implementation
- AI extracts the data in seconds
- Uncertain fields are flagged for review
- Approved data flows directly into the accounting system
How it works
From invoice to system in four steps
- [Screenshot] Upload Drag and drop invoices as PDF files or photos, individually or in batches.
- [Screenshot] AI extraction AI identifies the supplier, tax code, date, each line item and the total.
- [Screenshot] Human review Low-confidence fields are highlighted for the reviewer to correct or confirm.
- [Screenshot] System integration Approved data is sent to the accounting system via API, with a full audit log.
What the demo shows
- Field-level data recognition
- Flagging of uncertain values
- Automatic matching against purchase orders
- Direct transfer into your system
Technologies used
OpenAI
Anthropic Claude
Azure AI
LangChain
.NET
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Would you like to see it on your own documents?
Send up to [10–20] sample documents, and DESOL will run a free demo and review the results with you. Book an AI demo
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