pdf2.7 KB

Tern Client Services: Fee schedule PDF

Fee schedule PDF for Tern Client Services. A one-page rate card listing the same 5 codes as fee-schedule.csv with the standard rate at 100.00 per hour and mileage at 0.62 per kilometre. The notes state that COST is internal and never billed.

Data import

Rendered preview of Tern Client Services: Fee schedule PDF

Rendered preview of the pdf file (2.7 KB). Download above for the original.

Specifications

Document Set: professional-services
Industry: professional-services
Source Kit: crm-services
Synthetic: true
As Of: 2026-09-08
Pages: 1
Rates: 5

Testing contract

Reference control

Scenario: Extract the rate table and compare every rate with fee-schedule.csv and with the rates the other documents actually apply.
Expected result: All 5 printed rates equal the CSV values to the cent, and the three used in the period are the ones the timesheet, the mileage log and the profitability report apply.

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

“Tern Client Services: Fee schedule 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("fee-schedule.pdf") as pdf:
    print(len(pdf.pages), "pages")
    print(pdf.pages[0].extract_text())