Boarding Pass Agent
Extract reliable travel insights from boarding passes
Description
Challenge:
Travel and insurance workflows often rely on manual extraction of boarding pass details, which is error-prone and slow, especially for multi-passenger or multi-leg documents. Inconsistent data capture, missing fields, or misreads of key travel information can cause compliance issues, processing delays, and customer dissatisfaction.
How It Works:
The Boarding Pass Agent processes scanned or uploaded boarding passes (images or PDFs) to extract essential fields: passenger name, travel date, departure airport, and destination airport. It detects and handles multiple boarding passes within a single file, preserves exact formatting and casing, and excludes irrelevant details like barcodes, seat numbers, baggage info, or flight codes. Missing or unreadable fields are output as empty strings to ensure no assumptions are made. All extractions are returned in structured JSON format, with audit logging for traceability.
Benefits:
Achieves 95%+ accuracy across varied boarding pass formats
100% structured extraction of mandatory fields (Name, Date, From, To)
Reduces manual entry time from 3–5 minutes to under 15 seconds per document
Ensures traceable, auditable outputs for compliance and operational workflows
Handles multi-passenger or multi-leg documents seamlessly
Resources
Features
The Boarding Pass Agent standardizes travel data extraction from boarding passes, delivering accurate, structured outputs for travel management, insurance verification, and compliance workflows.
Features & Capabilities:
Document Ingestion & Preprocessing: Accepts images/PDFs, deskews, and enhances input for OCR
Core Field Extraction: Captures only Name, Date, From, and To; preserves casing
Multi-Pass Detection: Identifies and separates multiple boarding passes in one document
Validation: Cross-checks airport codes, validates date formats, and enforces mandatory-field rules
Noise Exclusion: Ignores flight numbers, seat info, boarding gates, and baggage tags
Output Generation: Structured JSON output per pass with full audit logging
Audit Trail: Logs all extraction decisions for compliance and traceability
Operating Blueprint
Knowledge Sources:
Airline boarding pass templates and IATA field standards
Airport naming and standard code repositories
Internal travel compliance and insurance rules
Business Rules:
Mandatory Fields: Name, Date, From, To
No Guessing Rule: Unreadable/missing fields → output as empty string
Case Preservation: Retain exact casing from boarding pass
Noise Exclusion: Skip non-essential information like seat numbers or barcodes
Multi-Pass Handling: Multiple boarding passes → structured JSON array
Tool Workflow:
Upload boarding pass image/PDF
Normalize and enhance document (deskew, noise reduction)
Detect and extract core fields using OCR and rule-based parsing
Split multi-pass documents into individual JSON objects
Validate against airport codes and date formats
Store audit logs with extraction metadata
Return structured JSON output for downstream consumption
Badges
Classification
