Extracta.ai

Invoices are forwarded to a dedicated Extracta.ai email parsing address or uploaded via API.

The AI engine identifies key fields like Total Amount, Vendor Name, Tax, and Line Items.

The system standardizes the extracted data into a JSON format.

Data is automatically routed to the company's ERP (e.g., NetSuite or SAP) via webhook.

Employee captures a photo of a receipt via their internal mobile application.

The app passes the image payload to the Extracta.ai API.

Computer vision enhances the image and extracts merchant name, date, and total amount.

The structured expense data is populated directly into the user's expense report draft.

User uploads a picture of their passport or driver's license during sign-up.

Extracta isolates Personally Identifiable Information (PII) such as Name, DOB, and ID number.

Data is cross-referenced with internal validation checks.

The user profile is automatically populated and approved.

Incoming Purchase Order PDF is received and sent to the extraction engine.

The table extraction model identifies and isolates individual line items, SKUs, and quantities.

The resulting structured array is compared programmatically against the current inventory database.

The system flags any discrepancies for manual review.

The Bill of Lading document is scanned at the warehouse.

Extracta dynamically finds the delivery address, parcel weight, and handling instructions.

Data is pushed as CSV into the warehouse management software.

Shipping labels are automatically generated based on the extracted address.