Receipt Agent
Standardize payment data from multilingual medical receipts
Description
Challenge:
Medical and hospital receipts come in multiple languages and formats, making manual extraction of financial data slow, error-prone, and inconsistent. Errors in amount, payer, or date capture can delay claims adjudication, corporate reimbursements, and compliance reporting.
How It Works:
The Receipt Agent ingests single or multiple receipt uploads (images or PDFs), auto-rotates and cleans the document, detects the language, and extracts key financial fields: hospital_name, amount_received, payment_for, payment_date, currency, and received_from. It enforces numeric-only amount formatting, YYYY-MM-DD date format, and ignores irrelevant information such as seals, footers, or symbols. Multi-receipt uploads are output as JSON arrays with consistent snake_case keys. Missing, illegible, or absent fields are handled according to strict rules, ensuring reliable, structured outputs ready for downstream financial, claims, or compliance systems.
Benefits:
95% extraction accuracy across multiple languages (e.g. Bahasa, Thai, Simplified Chinese, Mandarin, English)
Processing time cut from 5–10 minutes manual → <20 seconds automated
100% adherence to JSON schema with structured, auditable outputs
80–90% reduction in manual corrections during claims or reimbursement
Scalable handling of bulk receipts with consistent quality and compliance-ready records
Resources
Features
Receipt Agent standardizes and digitizes payment information from medical receipts, enabling rapid integration into claims, insurance, and finance workflows.
Features & Capabilities:
Document Ingestion & Preprocessing: Upload images/PDFs, auto-rotate, denoise, enhance for extraction
Language Detection: Handles Bahasa, Thai, Chinese/Mandarin, English; prioritizes extraction based on language hierarchy
Field Extraction: Captures hospital_name, amount_received, payment_for, payment_date, currency, received_from
Formatting Rules: Numeric-only amounts, YYYY-MM-DD dates, exclusion of seals and footers
Multi-Receipt Handling: Detects and outputs multiple receipts in structured JSON arrays
Audit Logging: Stores raw inputs and extraction decisions for compliance and dispute resolution
Strict Rule Enforcement: Ensures mandatory fields, handles missing/illegible values consistently
Operating Blueprint
Knowledge Sources:
Hospital/medical receipt templates across geographies
Language dictionaries (Bahasa, Thai, Simplified Chinese, Mandarin, English)
Currency code repository (ISO 4217)
Healthcare billing, claims, and compliance rules
Business Rules:
Mandatory Fields: hospital_name, amount_received, payment_for
Empty Value Handling: Label exists but value missing → output """"""""
Illegible/Missing Field: Return null
Always Return JSON Array: Even for single receipt
Amount Formatting: Numeric only, no currency symbols
Date Formatting: YYYY-MM-DD
Language Hierarchy: Bahasa > Thai > Chinese/Mandarin > English
Tool Workflow:
Upload receipt(s) (image/PDF)
Preprocess document (auto-rotate, denoise)
Detect document language and prioritize extraction
Extract mandatory fields and apply formatting rules
Handle multiple receipts → output JSON array
Store audit logs with raw input and extraction metadata
Return structured, schema-compliant JSON output
Badges
Classification
Capabilities
Geography
