Retrieve Order Date, Items Ordered, and Actual Paid (实付金额) from a Meituan Order Screenshot
Meituan order screenshots are entirely in Chinese and stack up to three discount types on a single order — platform coupons (平台券), merchant coupons (商家券), and red packets (红包) — each reducing the total in a different way. Template-based OCR can't read the Chinese labels at all; semantic extraction reads them directly and outputs the actual paid (实付金额) line regardless of how many discounts were stacked. Under 10 seconds per receipt.
5-10s per screenshot · Up to 99% accuracy on printed text
Four Fields That Capture Any Meituan Order
Four data points from any Meituan order. With Custom Column Extraction, you name the columns — the AI locates each value by what the Chinese label means, not where discounts place it.
The date and time at the top of the receipt — the AI reads the 订单日期 label and captures the adjacent timestamp.
The shop or merchant name in the header area — restaurant, grocery, or local service. Identified from the Chinese branding at the top of the screen.
The final amount after subtotal, packaging fee (包装费), delivery fee (配送费), and stacked discounts. The AI targets the 实付金额 label regardless of how many coupon lines appear above.
Each menu item with quantity and unit price — the AI captures the itemized list from the order detail section under 商品明细.
Chinese Labels, Stacked Discounts — One Receipt, Three Separate Deductions
Meituan operates China's largest food delivery network through a single app interface that is entirely in Chinese. The challenge isn't the format — every label must be read in Chinese to know what it means, and three discount types can stack on the same order.
Template OCR Can't Read Chinese Receipt Labels
Most extraction tools are built for English receipts. Meituan screenshots use Chinese throughout — 实付金额 (actual paid), 配送费 (delivery fee), 包装费 (packaging fee), 红包 (red packet). Template-based OCR trained on Latin scripts produces garbage on these labels long before it tries to extract values.
Three Stacked Discount Sources on One Order
Up to three discount types on one order: platform coupons (平台券), merchant coupons (商家券), and red packets (红包). Each deducts from a different subtotal, and the summary shows all three before revealing the final 实付金额. A tool expecting a single discount line misreads the whole fee column.
No Export Feature — Screenshots Are the Only Record
Meituan offers no bulk export of order history. Screenshots are the only record — once an order scrolls off the in-app history (a few months), no digital copy remains.
Label-Aware Reading in Any Language
Define Order Date (订单日期), Restaurant Name (商家名称), Total Paid (实付金额), and Items Ordered (商品明细). The visual AI reads Chinese labels the same way it reads English labels — by understanding the semantic relationship between the label text and the value beside it. It doesn't need language-specific training data for every label it encounters.
Reliable Total Extraction Through Any Discount Stack
Whether the order has zero discounts or three stacked ones, the Total Paid (实付金额) column captures exactly what was charged. The AI identifies which Chinese label means "actual paid" versus "subtotal" or "estimated total" — three concepts that look similar to a machine but mean very different things to the final expense record.
Old Screenshots, Same Columns, Same Accuracy
Meituan's in-app order history scrolls off after a few months — screenshots from weeks or months ago work the same as fresh captures. The label-value structure is preserved in the image, and the same column definitions apply regardless of when you took the screenshot.
From a Meituan Order Screenshot to One Expense Row
If you're logging Meituan orders for personal budget tracking, business trip reimbursement, or monthly food delivery expense analysis — here's how the tool turns one Chinese receipt screenshot into a structured row.
Upload the Screenshot
Upload the Meituan order screenshot — captured from the order detail screen or confirmation page. The full receipt shows the order date and time, restaurant name (商家名称), each menu item with quantity and unit price, the packaging fee (包装费) and delivery fee (配送费), any stacked discounts (平台券, 商家券, 红包), and the final 实付金额 (Actual Paid). JPG, PNG, or WebP — the app's machine-rendered Chinese text provides clean input for the visual model.
Name the Columns You Need
Type your column headers: Order Date (订单日期), Restaurant Name (商家名称), Items Ordered (商品明细), Total Paid (实付金额). For detailed breakdowns, add Item Subtotal (商品小计), Packaging Fee (包装费), Delivery Fee (配送费), and Platform (平台) as an inferred column. The AI reads every Chinese label independently — a receipt with three stacked discounts and a receipt with none both route the actual paid amount to the correct column.
Export the Structured Row
The output lands as a spreadsheet row — order date as a clean date value, restaurant name in Chinese, itemized menu items with quantities, and the actual paid amount. Export to Excel or CSV, or push directly into Google Sheets via the add-on. A batch of Meituan screenshots — say, a month of lunch orders or a week of business meals — becomes a full spreadsheet in roughly 5 seconds per receipt (~90s manual typing per receipt vs ~5s here).
When Meituan Screenshot Extraction Works Best — and When to Be Cautious
When It Works Best
Full-resolution screenshots from the Meituan order detail screen. High-contrast Chinese text produces clean input for the visual model, including small fee and discount line items
Orders with stacked discount types. Platform coupons, merchant coupons, and red packets are each identified by their Chinese labels — the total paid is extracted from 实付金额 regardless of how many discounts precede it
Batch processing across Chinese food delivery platforms. Mix Meituan and Ele.me receipts in one batch — both use Chinese labels with similar discount structures
When to Be Cautious
Compressed screenshots forwarded through WeChat or messaging apps. Compression can blur small Chinese characters — spot-check the actual paid amount from forwarded copies
Screenshots of the order summary card rather than the full order detail. The condensed view shows restaurant name and total without fee or discount breakdown — screenshot the full receipt screen instead
The tool extracts what the receipt shows — not the restaurant's payout or delivery partner's earnings. The 实付金额 is what you paid, which differs from what the restaurant received after platform commissions
Frequently Asked Questions
Can I extract the actual amount I paid from a Meituan order screenshot even when multiple discounts were applied?
Yes. The AI reads the 实付金额 (Actual Paid) line — the final amount after stacked discounts, coupon deductions (平台券/商家券), and red packet (红包) applications. This is the most reliable field because it's the amount actually charged. The AI locates it by reading the Chinese label and capturing the adjacent value, regardless of how many discount lines appear above it.
How does the AI handle Chinese-language field labels on Meituan screenshots?
Meituan's receipt screen uses Chinese labels throughout: 订单日期 (Order Date), 商家名称 (Restaurant), 商品明细 (Items), 实付金额 (Actual Paid). The visual language model reads these labels by their visual text content and semantic context — not by OCR-to-translation. You define column names in English, and the AI locates the matching value by recognizing the relationship between the Chinese label and its adjacent value.
Can I batch Meituan order screenshots with Uber Eats and DoorDash receipts in the same export?
Yes. Define one set of column names — Order Date, Restaurant, Items Ordered, Total Paid — and add a Platform inferred column. The AI processes Meituan, Uber Eats, and DoorDash screenshots using the same definitions, populating Platform from each app's branding. See the rideshare and delivery screenshots overview for the full cross-platform setup.
What individual fee components can I extract from a Meituan receipt?
Beyond the four core fields, define additional columns: Item Subtotal (商品小计), Packaging Fee (包装费), Delivery Fee (配送费), Platform Coupon (平台券), Merchant Coupon (商家券), and Red Packet (红包). The AI reads each Chinese label independently. If a discount type didn't apply, that column stays empty rather than misreading a different value.
Can I extract data from Meituan screenshots I captured months ago?
Yes. Screenshots captured weeks or months ago produce the same accuracy as fresh ones — the label-value structure is preserved in the image. Meituan's in-app history scrolls off after a few months, making screenshots the only way to retain older records for annual budget analysis. This is especially useful for travelers who return from China and need to process accumulated Meituan screenshots for reimbursement all at once.
Related reading for Chinese food delivery and multi-platform payment tracking: How to extract payer name, amount, and date from payment screenshots · Building a payment screenshot pipeline with Google Sheets for cross-platform expense logs
Back to rideshare & delivery screenshots overview — see all supported platforms