Pull Event Name, Date/Time, and Seat Details from Any Event E-Ticket Screenshot
Manually typing event ticket details from e-ticket screenshots into a spreadsheet takes 2-3 minutes per ticket — this pulls event name, venue, date/time, and seat assignment in 5-10 seconds per screenshot.
5-10s per ticket · Up to 99% accuracy on printed text
What You Can Pull from an Event E-Ticket Screenshot
Every ticketing platform (Ticketmaster, Eventbrite, AXS, SeatGeek) arranges the same core fields in a different layout. With Custom Column Extraction, the AI locates each field by meaning, not position.
Bold headline at the top of every ticket — positioned differently on Ticketmaster, Eventbrite, or a venue's native app.
Stadium, theater, or arena name — sometimes with city, sometimes without.
"FRI 19:30" vs "Oct 14, 2026 · 7:30 PM" vs "14/10/26 7:30PM" — date/time notation varies by country and ticket platform, and can be confused with purchase date.
The most notation-varied field: "Orch J 12," "GA Floor," "Section 212 Row C," "Mezzanine Balc 3" — each venue uses its own code system.
The unique identifier for the purchase — often labeled differently ("Order #," "Conf #," "Reference") across platforms.
GA, VIP, Student, Child, Senior — type determines access tier but may share the same section/seat layout.
This Isn't a Table — It's a Branded Ticket Card
An event e-ticket combines three visual layers: the event data, the venue's proprietary seating notation, and the app's UI chrome. Here's why each one is harder than it looks — and how column-name extraction resolves it.
Ticketmaster puts the event name as a bold headline centered at the top. Eventbrite stacks everything compactly top-to-bottom. AXS uses a landscape card with seat info at bottom-left. The same six fields shift to different visual zones on every platform.
"Orch J 12" means Orchestra section, Row J, Seat 12. "Section 212" is a numbered zone. "GA Floor" means no assigned seat. These codes are consistent within each venue but vary completely across venues. A human knows "Orch" means Orchestra — a position-based OCR tool doesn't.
A Ticketmaster screenshot doesn't just show the ticket — it also shows a navigation bar at the top, an "Add to Wallet" button, a countdown timer to the event, and sometimes a promotional banner. These are app-native UI elements, not ticket content. A tool that reads everything as one block of text will mix ticket data with interface noise.
With Custom Column Extraction, you type the field names you want — "Event Name," "Venue," "Date/Time," "Section/Row/Seat" — and the AI scans the entire ticket image to locate each value by what it means. A bold headline at the top is recognized as the event name because it's a bold headline at the top, not because the tool was told to read row 1, column 2.
The AI reads "Orch J 12" as Orchestra section, Row J, Seat 12 — not as three separate words. It recognizes that "GA Floor" denotes General Admission, that "Sec 212 Row C" is a numbered section, and that "Mezzanine" is a seating level, not an event name. The column captures the full notation exactly as printed, preserving the venue's code system.
The AI scans the full visual scene and distinguishes ticket text from app UI elements. "Add to Wallet," navigation labels, and promo banners are recognized as interface chrome and separated from the event data you actually need.
From Mixed E-Ticket Screenshots to a Single Spreadsheet in Three Steps
Whether you're tracking concerts you've attended, reconciling a group ticket purchase, or cataloging festival passes for an event report, the process is the same — and takes about a minute per batch of screenshots.
Upload your e-ticket screenshots
Drop a single screenshot or a batch — Ticketmaster, Eventbrite, AXS, SeatGeek, StubHub, or a venue's native app. Full-resolution screenshots that capture the entire ticket card (including seat details and QR code area) work best. Compressed images forwarded through chat apps may reduce clarity on smaller text like row letters and section numbers.
Name the columns you want
Type your field names into the column definition: Event Name, Venue, Date/Time, Section/Row/Seat, Order/Confirmation Number, Ticket Type. The AI reads each ticket image and fills each column by understanding what each field means — not by matching pixel positions. The same column schema works whether your ticket is from Ticketmaster for a Broadway show or Eventbrite for a music festival.
Export to Excel — one row per ticket
Each screenshot becomes a row in your spreadsheet, with every field in the column you defined. Event name in the Event Name column. "ORCH J 12" in the Section/Row/Seat column. "FRI 19:30" in the Date/Time column. Export to XLSX or CSV and your tracking log, expense report, or attendance register is ready — no retyping required.
On Reddit, concert-goers who track their shows manually describe creating Google Sheets from scratch to log bands, dates, venues, and costs — typing each field from ticket confirmations and digital stubs. Batch extraction replaces the retyping step while preserving the same familiar spreadsheet structure.
Where Event E-Ticket Extraction Works — and Where to Be Cautious
Being clear about what the tool can and cannot do sets the right expectation — and prevents the impression that any AI can magically do everything.
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Full-resolution ticket screenshots from ticketing apps or mobile wallets, with event details clearly rendered.
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Multiple tickets in one order — batch processing reads each screenshot and outputs one row per file.
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Mixed platforms in one batch — Ticketmaster, Eventbrite, AXS, and venue-native tickets process together under the same column definitions.
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This tool extracts ticket data from screenshots. It does not validate ticket authenticity, scan QR codes, connect to ticketing platform APIs, or detect dynamic rotating barcodes. The QR code is a graphic element for venue entry — no human-readable text is encoded in it.
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Heavy app UI chrome may partially obscure details. Screenshots with prominent navigation bars, floating "Add to Wallet" buttons, countdown timers, or promotional banners that overlap the ticket area can reduce extraction completeness.
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Heavily stylized event artwork backgrounds (dark concert photography, gradient overlays) can reduce text contrast, making smaller labels like row letters and section numbers less reliable.
Frequently Asked Questions
Can I extract seat information from a ticket that just says "GA Floor" or "General Admission"?
Yes. General Admission tickets don't have a row or seat number — the AI reads the ticket content and returns "GA Floor" or "General Admission" in the Section/Row/Seat field. You can also define a separate Ticket Type column that captures admission category independently, so your spreadsheet distinguishes reserved seating from GA.
Can it handle tickets where the time is written as "FRI 19:30" instead of a full date?
Yes. The AI reads whatever date/time format is rendered on the ticket — abbreviated day names ("FRI," "SAT"), 24-hour or AM/PM notation, and partial dates that omit the year ("Oct 14"). The extracted value in the Date/Time column is the text exactly as printed. You can then normalize the column in your spreadsheet using Excel's date parsing or text-to-column functions.
Will this work if I screenshot from Apple Wallet or Google Wallet instead of the ticketing app?
Yes, with one caveat. Mobile wallet passes typically show a simplified view of the ticket — the event name, venue, and a QR code, often without the full seat section/row/seat breakdown or the order confirmation number. If the wallet pass displays the text information, the AI can read it. For complete Section/Row/Seat and Order/Confirmation Number details, screenshot from the original ticketing app where the full ticket card is rendered.
Does the AI read the QR code on the e-ticket?
No. ImageToTable.ai extracts visible printed text from the screenshot image. The QR code (or rotating barcode) is a graphic element that encodes data for the venue's scanning system at the gate — it's not human-readable text. The tool extracts what you see on the screen: the Event Name, Venue, Date/Time, seat assignment, and confirmation number. It does not decode, scan, or validate QR code content.
Can I extract data from a screenshot that shows multiple tickets in one order — like "4 tickets, Section ORCH, Rows J–M"?
Yes. When an order summary shows multiple tickets, the AI reads the ticket quantity and the Section/Row/Seat range from the visible text. You can define separate columns for Section/Row/Seat and Ticket Quantity. For orders where each individual seat is listed separately (e.g., "Row J Seat 12" and "Row J Seat 13"), the AI captures each assignment based on what's displayed in the screenshot. Note that if seats scroll off-screen in the app's ticket detail view, only the visible portion is captured.
Also from this category: Travel Tickets & Logistics Overview · Boarding Pass Screenshot Extraction · Batch Travel Booking Data Extraction