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Harbour Kitchen Group: T4 shaped summary

T4 shaped summary for Harbour Kitchen Group. The employer summary over the 8 slips: 9,190.00 CAD of employment income, 546.82 of employee contributions matched by 546.82 from the employer, 152.56 of employee premiums with 213.58 from the employer at 1.4 times, and 1,378.50 of income tax, giving a remittance of 2,838.28 CAD.

Rendered preview of Harbour Kitchen Group: T4 shaped summary

Rendered preview of the pdf file (3.3 KB). Download above for the original.

Specifications

Document Set
tax
Industry
retail
Source Kit
retail-commerce
Entity
Harbour Kitchen Group
Synthetic
true
As Of
2026-09-08
Slips
8
Box14 Total
9190.00
Employer Cpp
546.82
Employer Ei
213.58
Remittance Due
2838.28
Renderer
reportlab
Pages
1

Testing contract

Expected to pass
Scenario
Add the five remittance components and compare with the total on line 80.
Expected result
546.82 plus 546.82 plus 152.56 plus 213.58 plus 1378.50 is 2838.28, the line 80 total, and every component equals the matching column total of t4-slips.csv.

What is a .pdf file?

PDF (Portable Document Format) is a page-oriented format that fixes layout, fonts, and vector and raster graphics so a page renders identically anywhere. A `%PDF-` header is followed by numbered objects, a cross-reference table mapping each to a byte offset, and a trailer; edits append incremental updates rather than rewrite the file. Page content is a stream of drawing operators, so a PDF holds no words or paragraphs, only positioned glyph runs. Adobe released it in 1993 and gave it to ISO as ISO 32000-1 in 2008.

How to use this file

Use an example PDF to test text extraction, rendering, metadata parsing, AcroForm handling, and OCR pipelines: checking that extraction reconstructs reading order from glyph positions, that a scanned page yields no text, and that an incremental update leaves earlier revisions in the file.

How to use this file for testing

“Harbour Kitchen Group: T4 shaped summary” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 1 pages. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

import pdfplumber  # pip install pdfplumber

with pdfplumber.open("t4-summary.pdf") as pdf:
    print(len(pdf.pages), "pages")
    print(pdf.pages[0].extract_text())

Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.