Pull Confirmation Number, Amount, and Dates from Any Booking Confirmation Screenshot
Most booking confirmations arrive as emails or in-app screens with zero extractability — your inbox has the data but there's no way to get it into a spreadsheet without manual copying.
5-10s per screenshot · Up to 99% accuracy on printed text
What You Can Pull from Booking Confirmation Screenshots
Booking confirmations come as emails, in-app screens, and SMS — every sender renders the data in a completely different visual zone. With Custom Column Extraction, you name the fields you need — the AI locates them on any booking screen by understanding what each value means, not where it appears.
These are the column names you type for each booking type. The AI finds matching values regardless of the source — you get one clean spreadsheet across all confirmation types.
Booking Confirmations Come as Emails, App Screens, and SMS — Each Layout Is a Dead End for Traditional Tools
An airline email, a hotel app screen, and a ride receipt share zero visual structure. Traditional tools look for tables — booking confirmations don't have tables. Here's what breaks, and how semantic extraction bypasses the layout problem.
Why Booking Confirmations Break Traditional Extraction
Every booking type delivers the same fields in a different layout. An airline puts the confirmation code in the email subject. A hotel app shows it as a banner card. A ride receipt embeds it in a time-stamped row. Template-based OCR needs a separate configuration for each sender — and fails on in-app screenshots with no selectable text.
Email parsers can't handle mobile app screenshots. Forwarding an email works — but only if the confirmation was sent as email. In-app screens from Uber, OpenTable, or Ticketmaster never hit your inbox. Users on Reddit routinely screenshot every booking as a backup — then type those fields into their expense tracker.
Related booking data lives across multiple screens. A hotel email shows total and dates on one page, room charges on another. A delivery notification has the tracking number in one text block and the delivery window in another. Basic OCR dumps everything in reading order — you reassemble which number goes where.
How Semantic Extraction Finds Booking Data Anywhere
You name the columns — AI locates values by meaning, not position. Type "Confirmation Number", "Amount", "Date". The visual language model understands that a six-character code in an airline email, a "Booking ID" inside a hotel card, and a trip number in a ride receipt all represent the same field. You don't tell the AI where to look; you tell it what you want.
One column set across every booking type in your batch. Upload airline emails, hotel app screens, ride receipts, and event tickets together. Define columns once. The AI adapts to each format individually — every screenshot becomes a row in the same spreadsheet, even though the source types share no visual structure.
Semantic context resolves ambiguous fields. A number like "3842" could be a confirmation code or a room number. The AI reads surrounding labels — "Booking Ref:", "Room:" — to assign each value to the correct column. You get consistent output regardless of source or language.
From Mixed Booking Screenshots to One Spreadsheet in Three Steps
Upload Mixed Booking Screenshots
You've got a folder of booking confirmations: an airline confirmation from your email, a hotel booking from the app, an Uber ride receipt, and a concert ticket confirmation. Different layouts, different apps, different devices. Drag them all into one batch — JPG, PNG, WebP — no pre-processing between types.
Name the Fields You Need — Once
Type Confirmation Number, Amount, Date, Customer Name, Provider. One set of columns, screenshots from four different booking types. The AI doesn't need to know which screenshot is an airline email and which is a ride receipt. It reads each image and fills in the columns by what each value means.
Download a Single Clean Booking Log
Processing takes 5-10 seconds per screenshot. The output is one XLSX file: one row per booking, the columns you defined. Airline, hotel, ride, and event — all in one table, ready for expense reconciliation or trip log. Roughly 18x faster than opening each screenshot and typing the fields by hand (~90s manual per screenshot for 5 fields vs ~5s here).
When It Works Best — and When to Be Cautious
Understanding the tool's boundaries helps you get the best results.
When It Works Best
Direct screenshots of booking confirmations. Full-resolution screenshots achieve up to 99% accuracy. Machine-rendered confirmation codes and amounts are high-contrast.
Predictable key-value data patterns. Confirmation numbers paired with labels like "Booking Ref", totals alongside "Amount Due" or "Total" — the AI identifies these by meaning, not position. This is why it works across different booking types.
Cross-type batch processing. One batch with one column set produces a single merged spreadsheet from airline, hotel, ride, and event screenshots — no per-type sorting needed.
When to Be Cautious
Compressed or forwarded booking screenshots. Compression artifacts from chat forwarding reduce accuracy — spot-check amounts and confirmation codes.
Multi-page itineraries spanning multiple screens. Capture summary and detail pages as separate screenshots. The AI processes each image independently — merge rows after export using the shared confirmation number.
Confirmation numbers in QR codes only. Boarding passes and event tickets sometimes encode the code as a scannable barcode. The AI extracts visible text — if the number isn't printed, use the email version.
Frequently Asked Questions
Can I extract Confirmation Number, Amount, Date, and Customer Name from airline and hotel booking screenshots in the same batch?
Yes. You define one set of column names — Confirmation Number, Amount, Date, Customer Name — and the AI processes every screenshot in the batch using those same definitions. Whether the screenshot comes from an airline confirmation email, a hotel booking app screen, or a ride receipt, the output is a single spreadsheet with one row per screenshot and the columns you named.
Will the Confirmation Number still be extracted if it's written as "Booking Ref: ABC123" in an email but just "ABC-123456" in an app screen?
Yes. The AI reads the semantic relationship between the label and the value, not the exact format of the label. "Booking Ref:" followed by an alphanumeric string, a "Confirmation #" label, and a plain code with no label next to "Total" and "Date" headers are all understood as confirmation numbers because they match the semantic pattern of what a confirmation number is. You don't need to tell the AI about different label formats — type "Confirmation Number" as your column name and the AI maps it automatically.
How does the AI handle booking amounts in different currencies — can I mix USD hotel bookings and EUR airline tickets in one batch?
The AI reads the currency symbol alongside each amount. A "$" paired with "Total" on a US hotel booking and "€" on a European airline confirmation are both extracted with their visible symbols. The output preserves the original currency as shown. If you need all amounts converted to a single currency, that step happens after export in your spreadsheet — the AI extracts what it sees to avoid introducing conversion errors.
Can I export extracted booking data to Excel or Google Sheets?
You can export to Excel (XLSX), CSV, or JSON. Excel is the most practical for booking logs — it handles merged cross-type tables cleanly and works directly with expense reconciliation and travel tracking workflows. For Google Sheets users, the Sheets add-on lets you insert extracted data into the active sheet without leaving your spreadsheet. The add-on syncs with your account templates and usage history.
What if my hotel booking confirmation shows a relative date like "Check-in: Tomorrow" — can the AI still extract a usable date?
The AI extracts whatever visible date information is on the screen. If the screenshot shows "Check-in: Tomorrow" or "Nov 12–15" without a year, that's what appears in the Date column. For permanent records, capture the full confirmation email or detail page that includes the calendar date with year. The AI handles both — full-date screenshots give you records you can sort chronologically and filter reliably for expense reports.
Deep dives into booking confirmation extraction: Extracting tracking numbers and delivery dates from Amazon shipping screenshots across carriers and devices · Pulling order numbers and tracking codes from 160-character SMS confirmations from Amazon, eBay, and Shopee · How AI extracts data from hotel folio screenshots including room charges, taxes, F&B, and parking
If you need the entire screenshot turned into a structured table rather than just specific booking fields, screenshot-to-excel conversion may be what you're looking for.