Alder Books Reconciliation: Credit application (PDF)
Credit application (PDF) for Alder Books Reconciliation. An unsecured working capital application for 15,000.00 USD. Every figure in the financial summary names the wave-one accounting file and column it comes from, so the whole table is checkable: closing cash 10,236.00, invoiced 8,100.00, received 7,300.00, outstanding 800.00 and expenditure 2,064.00 USD. The DOCX twin in the same directory carries the identical text.
Rendered preview of the pdf file (3.7 KB). Download above for the original.
Specifications
- Document Set
- banking
- Industry
- finance
- Source Kit
- accounting-reconciliation
- Entity
- Alder Books Reconciliation
- Synthetic
- true
- As Of
- 2026-09-08
- Application Id
- CRA-2026-0004
- Amount Requested
- 15000.00
- Secured
- false
- Summary Rows
- 8
- Closing Cash
- 10236.00
- Renderer
- reportlab
- Pages
- 1
Testing contract
Expected to pass- Scenario
- Take each row of the financial summary back to the file and column it names and confirm the value.
- Expected result
- All 8 rows reproduce from the accounting model: invoiced less received is 800.00, budget less expenditure is 2136.00, and the closing cash of 10236.00 is the last closing_balance in the wave-one bank statement.
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
“Alder Books Reconciliation: Credit application (PDF)” 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("credit-application.pdf") as pdf:
print(len(pdf.pages), "pages")
print(pdf.pages[0].extract_text())Related files
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