Alder Books Reconciliation: Credit application (DOCX)
Credit application (DOCX) 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 PDF twin in the same directory carries the identical text.
Rendered preview of the docx file (37.1 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
- python-docx
- Paragraphs
- 11
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 .docx file?
DOCX is the default Microsoft Word format, an Office Open XML document packaged as a ZIP archive of XML parts, media, and relationships. It stores structured text, styles, tables, images, and metadata. It is the dominant format for editable word-processing documents.
How to use this file
Use an example DOCX to test Office Open XML parsing, text and style extraction, ZIP-package handling, and converters that render or transform Word documents.
How to use this file for testing
“Alder Books Reconciliation: Credit application (DOCX)” 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: DOCX · 38,029 bytes. 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
from docx import Document # pip install python-docx
doc = Document("credit-application.docx")
for p in doc.paragraphs[:10]:
print(p.text)Related files
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