Extract Passenger Name, Flight Number, and Gate from Any Boarding Pass Screenshot
Manually reading a boarding pass and typing the details into an expense report takes 3 minutes per trip — this pulls passenger name, flight number, gate, and boarding time in 5 seconds per screenshot.
5-10s per screenshot · Up to 99% accuracy on printed text
What You Can Pull from a Boarding Pass Screenshot
A boarding pass scatters data across five visual zones — and every airline app arranges them differently. With Custom Column Extraction, the AI finds each field by meaning, not position.
Top on United, centered on Delta — the AI reads the label, not the zone.
Format varies — AA123 vs AA 123. The AI recognizes the airline code and extracts the full identifier.
Codes like LAX and JFK are cryptic to non-frequent-flyers. The AI returns each with the city name — LAX (Los Angeles).
Gate-change alerts appear as overlaid notifications on mobile passes — the AI reads overlay text too.
Not departure — boarding starts 30-45 min earlier. Format varies (24-hour vs AM/PM) by airline.
Often in a corner section — easy for single-zone OCR to miss. The AI scans the full scene.
Data Scattered Across Zones — Every Airline Rearranges Them
A boarding pass looks like a simple card, but its data lives in five independent visual zones — and every airline rearranges them. Mobile wallets add gate-change overlays on top. IATA codes read like random letters to anyone who doesn't fly weekly.
Every Airline, a Different Blueprint
United puts the passenger name at top-center; Delta places it below the flight number; American squeezes it near the bottom. A zonal OCR tool trained on one airline's layout misreads another's — and the same airline's app changes every 12-18 months.
IATA Codes: "LAX" Means Nothing to Most People
Three-letter airport codes are the global standard for aviation, but outside travel departments they're cryptic strings. Travelers confuse LAX and LGB, finance teams may not realize "JFK" and "LGA" are different airports. Traditional OCR outputs raw codes — it never asks what they mean.
Gate Changes Live Outside the Pass Layout
Mobile boarding passes in Apple Wallet and Google Wallet update gate assignments dynamically via push notification overlays — not part of the original pass design. A screenshot before the notification shows the old gate; one after shows an overlaid alert. As r/americanairlines users note, "I have received dynamic notifications and changes in my wallet AA boarding pass when gate or terminal are changed."
Semantic Reading — Labels, Not Coordinates
The AI reads the entire boarding pass as one visual scene. It recognises the label "Passenger" or "Name" and returns the text next to it — whether at top, center, or bottom. Same logic for "Flight," "Gate," "Boarding," and "Seat."
IATA Code → City Name, Automatically
Define Departure Airport and Arrival Airport columns. The AI returns each code with its location — LAX (Los Angeles), LHR (London Heathrow) — so your spreadsheet carries both the technical ID and the human-readable city.
Full-Scene Awareness Reads Overlays Too
Because the AI processes the full image as one visual scene, it reads push notification overlays and wallet banners in the same pass. If a gate-change alert is visible on your screenshot — even partially covering the original gate field — the AI captures the updated value from the overlay.
From a Boarding Pass Screenshot to One Spreadsheet Row
If you're logging flight details for expense reports, travel logs, or trip tracking — here's what happens when you drop a boarding pass screenshot into the tool.
Upload the Screenshot
Upload your boarding pass image — a screenshot from an airline app, Apple Wallet, Google Wallet, or even a photo of a printed paper pass. The tool accepts JPG, PNG, WebP, and PDF. Mobile wallet screenshots that include gate-change overlays or notification banners are handled the same way as standard passes.
Name the Fields You Need
Define your column headers: Passenger Name, Flight Number, Departure Airport, Arrival Airport, Gate, Boarding Time, Seat. The AI reads each label on the pass — "Passenger," "Flight," "Gate," "Boards," "Seat" — and maps the adjacent value to the right column, regardless of where on the screen that label appears.
Export the Structured Row
The output lands as a single spreadsheet row — passenger name, flight number, departure and arrival airports (IATA code with city name), gate, boarding time, and seat. Export to Excel or CSV, or push directly into Google Sheets via the add-on. One screenshot, one row, no retyping of codes or times.
When Boarding Pass Extraction Works Best — and When It Doesn't
When It Works Best
Clear screenshots with visible labels. Direct screenshots from airline apps or mobile wallets — where "Passenger," "Flight," and "Gate" labels are readable — produce the most reliable results.
Batch cross-airline processing. The same column set extracts from United, Delta, American, British Airways, or any other airline screenshot in one batch.
Repeated travel logging. Processing 10+ boarding passes per month replaces hours of manual transcription with a single export.
When to Be Cautious
Gate changes after the screenshot. The AI reads only what is visible on the image. If you screenshot before a gate change, the old gate is extracted. The tool does not check live flight status or verify gate assignments against airline systems.
Dark-mode or low-contrast passes. Some airline apps and mobile wallets render boarding passes with light text on dark backgrounds. While the AI handles this better than traditional OCR, very low contrast may reduce extraction confidence for smaller fields like seat numbers.
Heavily compressed forwarded screenshots. Boarding passes shared via messaging apps (WhatsApp, iMessage, SMS) are often re-compressed, reducing clarity of small-font fields like gate and seat numbers.
Frequently Asked Questions
Can I extract the gate number from a mobile boarding pass that was updated after I took the screenshot?
The tool extracts whatever data is visible on the image you upload. If a gate-change alert from Apple Wallet or the airline app appears as an overlay on your screenshot, the AI reads it. If your screenshot was taken before the gate changed, it shows the original gate. This is a limitation of static image extraction — the tool reads what is on the image, not what the airline's current system says. For gate verification, always screenshot after you reach the gate area or check the airport display boards.
Will the tool expand IATA airport codes like "LAX" or "JFK" to show the city name?
Yes. When you define a Departure Airport or Arrival Airport column, the AI identifies the three-letter IATA code printed on the pass and returns it alongside the associated city and airport name — LAX (Los Angeles), LHR (London Heathrow), NRT (Tokyo Narita). This is especially useful for finance teams and travel administrators who need city names for expense reports and don't have IATA codes memorized.
Does the tool handle the difference between Boarding Time and Departure Time?
Yes. The AI reads the label that precedes each time value on the pass. If the label says "Board" or "Boarding" or "Boards at," the adjacent time goes into the Boarding Time column. If the label says "Departs" or "Departure" or "Depart," it goes into a separate Departure Time column that you can define. This distinction matters for expense reports where the actual travel time (wheels-up) is what counts for per-diem calculations and receipt matching.
Will this work with an Apple Wallet pass screenshot, a Delta app screenshot, and a paper boarding pass photo?
Yes — all three formats are supported. Apple Wallet passes, Google Wallet passes, airline app screenshots, email attachments of mobile passes, and photos of printed paper boarding passes all use the same column definitions. The AI reads the content by its semantic meaning, so a Flight Number column returns AA123 whether that value appears in a wallet widget, an app header, or printed on thermal paper. JPG, PNG, WebP, and PDF inputs are all accepted.
Can I process boarding passes for a multi-leg trip (connecting flights) in one batch?
Yes. Each leg of a connecting itinerary generates a separate boarding pass. Upload all the screenshots together, define one set of column names — Passenger Name, Flight Number, Departure Airport, Arrival Airport, Gate, Boarding Time — and the AI processes every pass in the batch. The output is one spreadsheet with a row per boarding pass, so your LAX→DFW→LHR trip produces two rows: one for each segment, each with its own gate, boarding time, and seat assignment.
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