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Implement receipt-specific OCR extraction for fuel receipts: - Pattern matching modules for date, currency, and fuel data extraction - Receipt-optimized image preprocessing for thermal receipts - POST /extract/receipt endpoint with field extraction - Confidence scoring per extracted field - Cross-validation of fuel receipt data - Unit tests for all pattern matchers Extracted fields: merchantName, transactionDate, totalAmount, fuelQuantity, pricePerUnit, fuelGrade Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
29 lines
563 B
Python
29 lines
563 B
Python
"""Pydantic models for OCR service."""
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from .schemas import (
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BoundingBox,
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DocumentType,
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ExtractedField,
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JobResponse,
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JobStatus,
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JobSubmitRequest,
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OcrResponse,
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ReceiptExtractedField,
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ReceiptExtractionResponse,
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VinAlternative,
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VinExtractionResponse,
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)
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__all__ = [
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"BoundingBox",
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"DocumentType",
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"ExtractedField",
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"JobResponse",
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"JobStatus",
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"JobSubmitRequest",
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"OcrResponse",
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"ReceiptExtractedField",
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"ReceiptExtractionResponse",
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"VinAlternative",
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"VinExtractionResponse",
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]
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