Extract Data from Air Waybills Instantly with Air Waybill OCR

Yes. Layout-aware field capture preserves reading order across blocks, multi-column sections, and boxed fields, so shipper/consignee, routing, service level, and terms stay mapped correctly even when layouts vary. This reduces template-by-template rules and helps you onboard new carriers faster.

Agentic validation loops catch common scan issues and inconsistencies before results are returned, reducing downstream exceptions. You also get confidence signals and traceability so low-confidence fields can be reviewed quickly instead of reprocessing entire documents.

Yes. Table and line-item extraction reconstructs tabular regions into clean, machine-usable structures rather than flattened text. That makes it straightforward to capture weight/volume, piece counts, declared value, handling codes, and fee breakdowns without brittle post-processing.

It does. The system runs self-correction and validation checks for common formats and consistency—such as AWB number patterns, IATA airport codes, dates, and charge totals—so errors are caught early. This helps prevent rejected bookings, billing mismatches, and manual rework.

You receive structured JSON designed for automation, with field-level metadata such as page references and coordinates. That traceability makes audits easy and enables workflow routing—for example, sending only specific low-confidence fields to human review.

Integration is straightforward because the output is consistent JSON that maps cleanly to your existing data models. With field traceability and validation built in, you can automate posting to your systems while keeping an audit trail for compliance and exception handling.