Multi-Ticket OCR Assistant

Problem

Ticket recognition usually appears in reimbursement, itinerary archiving, and field entry. Movie tickets, train tickets, flight tickets, concert tickets, VAT electronic invoices, and PDFs have inconsistent layouts. Manual transcription can miss seats, train numbers, amounts, or invoice numbers. With multiple images or multi-page PDFs, opening each file and copying data into Markdown or JSON becomes tedious.

How It Works

This Skill uses Tesseract-OCR for text recognition and adds ticket-oriented field parsing.

• Input: accepts ticket images and PDFs; PDFs are converted to images before OCR, with multi-page and mixed image/PDF batch processing supported.
• Parsing: automatically infers ticket type, such as movie, train, flight, concert, or event tickets, then extracts relevant fields: title, venue, hall, seat, train number, stations, flight number, date, time, price, and invoice fields.
• Output: produces Markdown, JSON, or --smartsheet smart-table output. The smart-table mode emits invoice number, issue date, total amount, and inferred invoice category for integration with WeCom smart sheets.

Boundaries

Accuracy depends on image clarity, complete ticket text, and language packs. Cropped, blurred, reflective, or low-resolution tickets may cause missing fields. Standard date formats are more stable. Custom ticket types may require parser extension. It is suitable for structured drafting and batch cleanup, not for formal financial audit or invoice verification.