Expense Receipt OCR Assistant
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About this skill
Problem
At month-end reimbursement, many WeChat Pay, Alipay, and bank transfer screenshots are scattered across phone galleries or chat threads. Manually copying amounts, dates, and merchants into a spreadsheet is error-prone and makes it hard to keep Excel headers consistent. This skill targets the workflow with many screenshots, fragmented fields, and inconsistent table formats by turning transaction screenshots into reusable reimbursement data.
Core Capabilities
- Screenshot recognition: supports
WeChat Pay screenshots,Alipay bill screenshots, andbank transfer screenshots, and can also attemptinvoice imagesandreceipt photos. - Field extraction: extracts key fields such as date, time, merchant/payee, amount, transaction type, and transaction number.
- Data cleansing: standardizes dates to
YYYY-MM-DD, keeps amounts to two decimal places, and normalizes transaction types such as expense, income, and transfer. - Spreadsheet generation: produces a standard Excel reimbursement table with columns including
Date,Time,Merchant/Payee,Amount,Transaction Type,Transaction Number, andNotes. - Batch processing: accepts multiple screenshots to reduce manual per-image cleanup.
How It Works
The skill relies on vision analysis for OCR and then invokes Excel processing to generate the file. The workflow has three main stages:
- Use
MiniMax VL APIorGPT-4Vto recognize screenshots and locate fields such as amount, date, merchant, and transaction type. - Clean extracted values: standardize dates, unify amount formatting, classify transaction types, and leave uncertain details in notes or for manual review.
- Generate a normalized Excel file using the OpenXML SDK, producing a spreadsheet that can be reviewed, filtered, and submitted.
Boundaries and Caveats
It is suitable for personal or small-team reimbursement cleanup for daily expenses, travel, and transfers, but it is not a substitute for final finance review. If screenshots are blurry, key fields are obscured, one image contains multiple transactions, or the UI is non-standard, recognition accuracy may drop. Before use, configure a MiniMax API Key or OpenAI API Key, and ensure the vision analysis and Excel processing dependencies are available. After generation, still spot-check amounts, dates, and transaction numbers before submitting to finance systems.
Use Cases
- At month-end, compile WeChat Pay and Alipay consumption screenshots into a finance-ready Excel reimbursement sheet.
- After travel, extract uniform reimbursement fields from multiple bank transfer and receipt photos.
- Batch-extract dates, merchants, amounts, and transaction numbers from a set of Alipay bill screenshots, then normalize them.
- Turn inconsistent transaction screenshots into a standard-header Excel table for manual review.
Best For
- Administrative staff submitting travel and meal reimbursement forms who need to batch-convert screenshots into standard detail tables.
- Finance personnel reconciling personal expense streams who need key fields extracted from payment screenshots.
- Operations staff handling many payment screenshots who need expenses and transfers consolidated under one header set.
- Corporate employees performing first-pass reimbursement review who need Alipay, WeChat Pay, and bank screenshots organized for checking.
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