Pull Confirmation Codes, Travel Dates, and Tracking Status from Any Ticket or Delivery Screenshot
Manually logging boarding pass details and tracking numbers from 8 different carriers and ticket vendors takes 3–4 minutes per trip — this pulls the data you need in 5 seconds per screenshot.
5–10s per screenshot · Up to 99% accuracy on printed text
What You Can Pull from Travel & Delivery Screenshots
A boarding pass, a UPS tracking page, and an event e-ticket share zero visual structure — but they carry the same kinds of data you need for your records. With Custom Column Extraction, you name the fields, and the AI finds them by understanding what each value means, not where it appears.
These are the column names you type for each scenario. The AI finds matching values across all 8 — you get one clean spreadsheet regardless of carrier, airline, or platform.
Eight Different Layouts, Zero Visual Consistency — One Set of Columns
A boarding pass, a UPS tracking timeline, and a Trenitalia ticket are entirely different visual languages. Traditional tools look for tables — travel tickets and tracking pages don't have them. Here is what breaks, and how semantic extraction sidesteps the layout problem.
Why Travel & Tracking Screenshots Break Traditional Extraction
Eight scenarios, eight different visual formats. A boarding pass packs flight info into a dense barcode + text layout. A UPS tracking timeline uses colored status badges. A Ticketmaster e-ticket is a webpage screenshot with a seat map. Template-based OCR needs a separate configuration for every single one.
Tracking pages shift as statuses change — same URL, different layout. A FedEx page shows "In Transit" one day, "Delivered" the next, with a new badge where none was before. Tools that rely on fixed positions fail when the page rearranges itself around a different status.
Screen-scraping tools dump everything — you needed two fields. A UPS page shows tracking number, status, ETA, origin, destination, service type, weight, and every scan event. Users on r/excel describe "manually copying 30 tracking numbers at a time into FedEx's website and pasting them into a spreadsheet" — because full-page extraction gives a mess, not the status you came for.
How Semantic Extraction Finds Travel Data Anywhere
You name the columns — AI locates values by meaning, not position. Type "Tracking Number", "Status", "Delivery Date". The visual language model recognizes a sequence of digits next to a carrier logo on UPS as the same kind of value as a tracking ID on NZ Post — even though the format is completely different.
One column set across boarding passes, tracking pages, and tickets. Upload a Delta boarding pass, a FedEx tracking screenshot, a Ticketmaster confirmation, and an NZ Post delivery update together. Define "Tracking Number, Date, Status" once. The AI adapts to each format individually — every screenshot becomes a row in the same spreadsheet.
Semantic context distinguishes similar-looking codes. A 6-character alphanumeric code near a barcode on a boarding pass is a confirmation code — the 4-digit number next to "Seat" is the seat assignment. A long numeric string on a tracking page is a tracking number, not a reference. The AI reads labels alongside values, so you get the correct field every time.
From Mixed Travel Screenshots to One Spreadsheet in Three Steps
Upload Mixed-Format Screenshots
You've got a folder of screenshots: a boarding pass from the airline app, a FedEx tracking page showing "Out for Delivery," a Ticketmaster event confirmation, and a NZ Post delivery update. Each looks completely different. Drag them into one batch — JPG, PNG, WebP — no need to sort by type.
Name the Fields You Need — Once
Type Tracking Number, Date, Status, Destination. One set of columns, four screenshots from completely different sources. The AI reads each image — the boarding pass for its flight code, the FedEx page for delivery status, the event ticket for venue and date — and fills every column by understanding what each value represents.
Download One Clean Log
Processing takes 5-10 seconds per screenshot. The output is one XLSX file: four rows, the columns you defined. Boarding pass details, FedEx delivery status, event ticket info, and NZ Post tracking — all in one table, ready for reconciliation. About 18x faster than typing by hand (~90s manual vs ~5s per screenshot).
When It Works Best — and When to Be Cautious
Knowing the boundaries helps you get the best results.
When It Works Best
Direct screenshots from airline apps, carrier sites, and ticketing platforms. Full-resolution machine text achieves up to 99% accuracy — confirmation codes, tracking numbers, and event names are high-contrast and well-structured.
Label-value patterns across carriers. "Status: Delivered" followed by a timestamp is recognized semantically — works on UPS, FedEx, DHL, and NZ Post.
Cross-scenario batch processing. One column set, one spreadsheet from boarding passes, tracking pages, and event tickets — no per-carrier sorting.
When to Be Cautious
Compressed screenshots forwarded through messaging apps. A boarding pass sent via WhatsApp loses resolution. Spot-check codes and seat numbers from compressed sources.
Barcode-only event tickets. If the event name and date are embedded solely in a QR code with no visible text, they are not accessible from a screenshot — the tool reads on-screen text.
Transient overlay popups. If Uber's surge fare breakdown appears in a temporary modal, it may not be reliably captured. Main trip receipt fields are consistently readable.
Frequently Asked Questions
Can I extract a Confirmation Code from a boarding pass, a Tracking Number from UPS, and an Event Name from Ticketmaster in the same batch?
Yes. Define one set of columns — Confirmation Code, Date, Status, Destination — and the AI processes every screenshot using the same definitions. A Delta boarding pass, a UPS "In Transit" page, and a Ticketmaster confirmation land in a single spreadsheet with one row per screenshot. No need to sort by type beforehand.
UPS, FedEx, DHL, and NZ Post display tracking status in completely different layouts — how does the AI handle this?
The AI reads semantic relationships between labels and values. "Delivered" followed by a timestamp is recognized as delivery status whether it appears as a green badge on UPS, a line-item on FedEx, or a status row on NZ Post. The model doesn't rely on position — it understands what "Delivered" means in a tracking context — so the same column definition works across carriers.
How accurate is the extraction for dynamic status updates like "Out for Delivery" or "Delivered"?
For clear, uncompressed tracking page screenshots, status accuracy reaches up to 99%. The AI handles "In Transit," "Out for Delivery," "Delivered," and "Delivery Attempted" reliably. Because the page layout can shift when the status changes, what you see on screen is exactly what gets extracted. Use original-quality screenshots for best results.
Can I extract the "Signed By" name from a certified mail delivery screenshot?
Yes. If the USPS certified mail tracking page displays the recipient name at delivery — typically shown as "Signed By: [Name]" on the tracking result — the AI extracts it into a column you define. Certified mail screenshots also include the unique tracking number (often starting with "7011" or "9407") and the delivery date. This is one area where most general-purpose tracking tools fall short, as they focus on package carriers rather than mail class tracking.
Long tracking numbers turn into scientific notation (9.26E+25) in Excel — does the export handle this?
Yes. XLSX export preserves long numeric strings as text, so UPS, FedEx, and USPS tracking numbers display as full digits. Export options include XLSX, CSV, and JSON — XLSX is the most practical for mixed travel and logistics records. A batch combining a 22-digit FedEx tracking number and a 13-digit USPS certified mail ID renders both correctly.
Deep dives: Order numbers and tracking codes from SMS confirmations · Tracking numbers and delivery dates from Amazon shipping screenshots · Proof-of-delivery documents with signatures and exception notes
If you need the entire screenshot turned into a structured table rather than just specific fields, screenshot-to-excel conversion may be what you're looking for.