Pull ¥ Amounts, Order IDs & Japanese Addresses from a LINE Chat Screenshot
Traditional OCR treats every element in a LINE screenshot the same — a LINE Pay card's ¥3,000 and the sticker caption below it come out as one undifferentiated text block. This reads styled cards, chat text, and UI metadata by visual role, extracting only the 8 fields you name, in 5-10 seconds per image.
5-10s per screenshot · Up to 99% accuracy on printed text
Two Layers of Data in Every LINE Chat
LINE chat screenshots have message content and native UI metadata. With Custom Column Extraction, the AI reads both by visual role.
Content (メッセージ内容)
The largest element on the LINE Pay card — ¥, NT$, or ฿.
Identified by labels like "注文番号" or alphanumeric patterns in chat.
Japanese addresses with 〒 postal code — prefecture, city, block, building from unbroken strings.
11-digit mobile number identified even when fused into address strings.
The memo line on a LINE Pay card — purchase reference, bill split, or order note.
Native Metadata (App UI属性)
Read from the chat header, supports emoji and decorated names.
Absolute or relative time from the message header, captured as shown.
Classifies each element as text, LINE Pay card, or sticker for spreadsheet filtering.
Why a LINE Chat Is Harder to Parse Than Any Other Messaging App
LINE is the only major chat platform where the same screenshot can contain a styled payment card, an unbroken Japanese address with the 〒 postal mark, and a sticker with text — three visual formats traditional OCR treats as one flat text dump. As the Japanese addressing system shows, a typical address like 〒150-0002 東京都渋谷区渋谷1-2-3 fuses prefecture, city, block, and building into a kanji-numeral string with no delimiters.
LINE Pay Card Is Not a Chat Bubble
A LINE Pay transfer is a white rounded card inside the chat — with a header, the amount in large type, payment method (支払方法), and a 19-digit transaction ID (取引ID). Traditional OCR mixes the ¥3,000 on the card with the sticker caption below it.
Japanese Addresses Fuse Kanji, Digits, and the 〒 Mark
〒150-0002 東京都渋谷区渋谷1-2-3 メゾン渋谷101号室 — postal mark, 7-digit code, kanji prefecture, hyphenated block numbers, katakana building name, and room number in one line. Traditional OCR cannot tell where the prefecture ends and the city begins.
Stickers and Stamps Add Semantic Noise
A single LINE screenshot can include a sticker with text, a LINE Pay card, and text messages. Traditional OCR reads the sticker caption as though it were a transaction record, contaminating output with non-data content.
Classifies Each Visual Element by Type
The AI recognizes the white rounded card as a payment confirmation, the speech bubbles as chat text, the sticker as decorative. The ¥3,000 on the card goes into Amount; the sticker caption is excluded entirely.
Segments Japanese Addresses by Structural Pattern
The 〒 postal mark anchors the postal code, the kanji suffix (都・道・府・県) frames the prefecture, the hyphenated number chain (1-2-3) signals the block, and the katakana name follows. Each component is routed to its own column — no fixed positions or delimiters needed.
One Column Set for All LINE Sources
Define your eight columns once and process LINE Pay cards, address messages, and transfer receipts in the same batch. The AI reads field meaning independently of message format — no template needed.
From a LINE Chat Screenshot to One Structured Row
Whether you are logging LINE Pay payments from clients, compiling Japanese delivery addresses from order chats, or reconciling transfer receipts — the process is three steps, and one set of column names covers every message type.
Upload the LINE Screenshots
A LINE Pay transfer card, an order address message, and a transfer receipt — all in one batch. PNG or JPG, whatever your phone saved them as. No need to sort by message type before uploading. The screenshot can come from the Japanese, Taiwanese, or Thai LINE interface; the AI reads the visual structure of each element independently.
Name Your Columns Once
Type Payment Amount, Order Number, Address, Phone Number, Transfer Note, Sender Name, Timestamp, Message Type. The AI reads each screenshot individually — the LINE Pay card fills the Amount and Transfer Note columns, the address message fills Address and Phone Number, and Sender Name and Timestamp populate from chat-native UI across all message types. Stickers are recognized as non-data and excluded.
Export a Unified Spreadsheet
Every screenshot becomes one row. Payment screenshots have the ¥ amount, transfer note, sender, and timestamp; address screenshots have the full 〒-prefecture-city-building breakdown plus phone and recipient. All in one .xlsx file, ready to reconcile against your delivery list or accounting sheet without opening the screenshots again.
LINE Chat Extraction — What Works and What Doesn't
Styled LINE Pay cards and Japanese address strings extract reliably. Two scenarios need extra attention.
- ✓ Opened LINE Pay cards — the white card with amount, payment method, and 19-digit transaction ID (取引ID) — extract reliably because the visual structure is consistent across all LINE markets.
- ✓ Japanese addresses with the 〒 postal mark and complete prefecture-city-block-building hierarchy — structural markers give clear segmentation boundaries.
- ✓ Batches mixing LINE Pay cards, address messages, and transfer receipts — one column set works across all types.
- ⚠ An unopened LINE Pay card shows only the sender name — the amount and transaction ID are hidden. Open the card before screenshotting.
- ⚠ Heavily compressed screenshots — common when LINE images are forwarded — can reduce kanji recognition accuracy. Screenshot the original conversation for best results.
Frequently Asked Questions About LINE Chat Data Extraction
Can the AI extract the 19-digit Transaction ID (取引ID) from a LINE Pay card that overlaps with a sticker in the screenshot?
Yes. The 19-digit 取引ID sits at the bottom of the LINE Pay card, visually separated from the sticker area below. The AI identifies the card as a distinct visual region — sticker text outside the card is excluded from extraction.
A customer in Thailand sent their address via LINE in Thai script — can the AI still extract it alongside the payment amount?
LINE Pay card fields extract reliably across all markets because the card's visual structure is identical. Thai addresses use a different structure (soi/zone naming, no 〒 postal mark) — test a sample screenshot first, and define broader columns like "Delivery Address" rather than individual sub-fields.
Can I extract the LINE Pay card data and the address from the same chat screenshot in one pass?
Yes. Define payment columns (Payment Amount, Transaction ID, Transfer Note) and address columns (Postal Code, Prefecture, City, Building Name) in the same set. The AI reads both in one pass — the card fills payment columns, the address message fills address columns, and Sender Name and Timestamp populate from chat-native metadata.
A LINE chat screenshot shows multiple payment cards from different dates — can the tool extract each one?
The AI extracts one set of fields per upload. If a single screenshot shows multiple LINE Pay cards, it outputs one row. For per-card rows, capture each card in its own focused screenshot — one transfer per image for clean spreadsheet output.
What LINE-native chat metadata can I extract — sender name, timestamp, and message type?
All three. Define a Sender Name column — the AI reads the chat header display name. Define a Timestamp column — the date and time from the message header. Define a Message Type column — classifies each element as text message, LINE Pay card, or sticker. These populate alongside your content fields in the same row, so a single screenshot yields both the ¥3,000 amount and the sender's name and timestamp in one pass.