What invoice OCR does
OCR (Optical Character Recognition) combined with AI doesn't just read text—it understands document structure:
📄 Input
- • Scanned paper invoices (PDF, JPG)
- • Email attachment invoices
- • Photographed receipts
- • Digital PDF bills
📊 Output
- • Vendor name & address
- • Invoice number & date
- • Due date & payment terms
- • Line items with amounts
- • Tax & totals
How BBos AI extraction works
The Extraction Process
1
Upload document — Drop a PDF or image into BBos
2
AI scans & recognizes — Our AI reads all text from the document via OCR
3
AI extracts structure — Language model identifies vendor, amounts, line items
4
Vendor matching — AI matches to existing vendors in your system
5
Review & approve — Human verifies before posting to accounting
Accuracy & edge cases
✓ High Accuracy
Modern AI OCR achieves 95-99% accuracy on clean, digital PDFs. Even scanned documents typically hit 90%+ with good quality.
⚠️ When to Review Carefully
- • Handwritten invoices or notes
- • Poor quality scans or photos
- • Unusual layouts or languages
- • First invoice from a new vendor
ROI of AI document processing
80%
Reduction in data entry time
90%
Fewer manual entry errors
2 min
Average time per invoice (vs 8+ manual)
For a company processing 200 invoices/month, that's 20+ hours saved monthly—time your AP team can spend on analysis and vendor relationships instead of data entry.