Available
SLM-Works Invoice Generator
Structured invoice creation from unstructured input
Turns messy source content into invoice-ready structured payloads. It focuses on extraction consistency, validation hints, and mapping fields to downstream finance workflows.
How it works
Step 1
Parse source documents (email body, attachment text, OCR output).
Step 2
Extract supplier identity, line items, terms, VAT/tax, and totals.
Step 3
Score confidence per field and flag missing mandatory invoice metadata.
Step 4
Return normalized JSON that your ERP or AP workflow can ingest directly.
Example
Example input
Email text + attached PDF with free-form items, discounts, and mixed VAT percentages.
Example output
{ vendor: 'Acme BV', invoice_number: 'INV-2026-044', currency: 'EUR', line_items: [...], tax_breakdown: [...], payment_terms: '30 days' }
Key features
- Line-item extraction with quantity/price consistency checks
- Tax-rule aware output for multi-rate invoices
- JSON schema validation for finance integrations
- Confidence scores to support human-in-the-loop approvals
Rollout guidance
- Best rollout path: start with one vendor cluster, then expand templates.
- Pair with approval thresholds to auto-post only high-confidence invoices.
Ideal for
FAQ
Can this replace manual AP checks immediately?
Usually no. Teams start with assisted review, then automate straight-through processing above agreed confidence thresholds.
Want this model in your stack?
We can scope a deployment blueprint, evaluation set, and integration plan for your data and infrastructure constraints.