How does this skill handle different file types?

It implements a specific decision tree: pdfplumber is used for text-based PDFs, AWS Textract is used for images and scanned documents, and email HTML is parsed directly without OCR.

What are 'golden fixtures' in this context?

Golden fixtures are pairs of saved OCR text and 'expected' JSON output that serve as ground-truth tests to ensure that any changes to the parsing logic do not cause regressions.

When should I use Claude Vision instead of a deterministic parser?

Deterministic parsers are preferred for high-volume vendors requiring reliable tax and line-item extraction. Claude Vision serves as a safety net for low-volume or highly variable receipts where you lack enough samples to stabilize patterns.

Does this skill require local OCR dependencies?

No. To maintain consistency and avoid environment-specific issues, the skill follows a core invariant of using AWS Textract for all OCR tasks rather than local binary wrappers.

Deterministic Receipt Parser Engineer

Name: Deterministic Receipt Parser Engineer
Author: ThomasMcCrossin

byThomasMcCrossin

Data Science & ML

Develops and maintains high-accuracy receipt and invoice parsers using automated OCR routing and golden fixture testing workflows.

About

The Receipt Parser Engineer skill provides a structured framework for building robust accounting integrations within the curlys-books ecosystem. It streamlines the process of converting unstructured OCR text from receipts and invoices into standardized data structures by leveraging a deterministic parsing engine. The skill guides developers through sophisticated OCR routing—utilizing pdfplumber for text-based PDFs and AWS Textract for images—while ensuring reliability through a 'golden fixture' testing methodology. It balances precision with flexibility by maintaining specific vendor parsers and utilizing Claude Vision as an intelligent fallback for unknown or low-volume formats.

Key Features

Automated OCR routing between pdfplumber and AWS Textract
Standardized normalization of totals, taxes, dates, and line items
Intelligent fallback to Claude Vision for unknown vendor layouts
Golden fixture testing framework to prevent regressions in data extraction
0 GitHub stars
Deterministic vendor-specific parsing logic for high-volume receipts

Use Cases

Debugging and fixing mis-detected fields in existing financial parsers
Adding support for a new high-volume vendor with unique invoice layouts
Establishing a regression-proof testing suite for accounting data extraction

About

Key Features

Automated OCR routing between pdfplumber and AWS Textract
Standardized normalization of totals, taxes, dates, and line items
Intelligent fallback to Claude Vision for unknown vendor layouts
Golden fixture testing framework to prevent regressions in data extraction
0 GitHub stars
Deterministic vendor-specific parsing logic for high-volume receipts

Use Cases

Debugging and fixing mis-detected fields in existing financial parsers
Adding support for a new high-volume vendor with unique invoice layouts
Establishing a regression-proof testing suite for accounting data extraction