The AI engine purpose-built for logistics documents
Generic OCR tools weren't built for carrier invoices or bills of lading. Jannat AI's extraction engine was, and the difference shows in every field it reads.
Not OCR. Not a template matcher. Something better.
Traditional OCR converts pixels to text. Jannat AI understands what the document is, then reads it the way a human logistics expert would.
Document understanding
Before extracting a single field, the engine identifies the document type, invoice, BOL, delivery note, packing list. This context shapes everything that follows. The same date field means something different on an invoice versus a BOL.
Layout-agnostic reading
Carrier A puts the invoice total in the top right. Carrier B puts it at the bottom in a summary table. The engine finds both, without needing a layout map for either carrier. It reads structure, not position.
Field normalization
Extracted data is normalized into consistent formats: dates as ISO strings, currencies as numeric values, addresses into structured components. Your export is clean regardless of how the original document was formatted.
Confidence scoring
Every extracted field comes with a confidence score. Low-confidence fields are flagged for human review, so you catch the edge cases before they reach your ERP or TMS.
Why generic OCR falls short
OCR reads text. Jannat AI understands documents. For logistics operations, that difference is measured in hours of rework every week.
| Capability | Generic OCR | Jannat AI |
|---|---|---|
| Understands document type | No, outputs raw text | Yes, classifies automatically |
| Works across layouts | Requires per-vendor templates | Any layout, zero setup |
| Normalizes extracted data | Raw text only | Dates, currencies, addresses normalized |
| Handles scanned documents | Poor accuracy on low DPI | Works on phone photos and fax scans |
| Line-item extraction | Manual parsing required | Full table extraction out of the box |
| Confidence scoring | Not available | Per-field confidence scores |
| Logistics-specific fields | No domain knowledge | BOL, PRO numbers, commodity codes |
| Setup time | Weeks of template building | Instant, upload and go |
Where the 99% comes from
High accuracy isn't a single number, it's field-by-field consistency across every document type we process.
- Continuously trained on real logistics document formats
- Accuracy reviewed by our team on a rolling basis
- Low-confidence fields are flagged for human review, not silently passed through
- Edge cases are fed back into the improvement cycle
Every field your team needs to capture
Here is the full set of fields Jannat AI extracts across document types. Custom fields are available on the Business plan.
Invoice fields
Bill of Lading fields
Delivery Note fields
Upload your first document free
No templates, no training, no setup. Just upload a document and see what the engine extracts.