Client Onboarding Questionnaire (PDF)
A completed discovery questionnaire for a fictional product-launch engagement. This print-ready PDF twin is designed for page-rendering, extraction, and cross-format comparison tests.
Rendered preview of the pdf file (4.1 KB). Download above for the original.
Specifications
- Family
- client-onboarding-questionnaire
- Model Version
- p6-v1
- Format Twin Count
- 3
- Fictional Data
- true
- Deterministic Content
- true
- Sections
- 5
- Table Count
- 0
- Page Size
- US Letter
Testing contract
Expected to pass- Scenario
- Render every page at 150 DPI and extract its text, then compare labels and records with the other format twins.
- Expected result
- All model content is present and legible with no clipped text, overlapping rows, missing glyphs, or unexpected blank pages.
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
“Client Onboarding Questionnaire (PDF)” is a deterministic Novus Examples fixture for Templates, Conversion testing. Professional, neutral starting-point documents you can download and adapt — invoices, resumes, budgets, and more.
Documented properties for this file: PDF · 4,173 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.
This template ships filled with realistic sample content and documented fields and formulas. Download it as a starting point, or point a converter/parser at it — format twins (for example DOCX↔PDF) let you diff conversion fidelity.
Code examples
import pdfplumber # pip install pdfplumber
with pdfplumber.open("client-onboarding-questionnaire.pdf") as pdf:
print(len(pdf.pages), "pages")
print(pdf.pages[0].extract_text())Related files
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Generated by generation/templates_p6.py. Free for any use, no attribution required — license.