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Label exam PDFs from Crowdmark with names of students

Project description

Crowdmark Labeler

This is a Python package which automatically labels exams outputted by Crowdmark using the names of students provided in a pandas dataframe. This script depends on pdfrw, reportlab, and pandas. This is designed for assessments which have the "Enable automated matching" option enabled when booklets are generated in Crowdmark. The script will fill the name box that looks like this:

before labeling

to make it look like this

after labeling


You can install this package with:

pip install clabeler


This package can be called from the command line using the clabeler command. It has three required arguments and several optional arguments to set the output and to allow for different column labels in the inputted data.

usage: clabeler [-h] [-O OUTPUT] [--colfname COLFNAME] [--collname COLLNAME] [--colid COLID] labels booklets pagecount

Label exam PDFs from Crowdmark with names of students.

positional arguments:
  labels               path to a csv containing labels
  booklets             path to PDF of unlabeled exams
  pagecount            number of pages per exam

optional arguments:
  -h, --help           show this help message and exit
  -O OUTPUT            path to output unlabeled exams
  --colfname COLFNAME  column label for student's first name
  --collname COLLNAME  column label for student's last name
  --colid COLID        column label for student ID


In addition to the command line interface, this package defines the function labelbooklets defined in the following way:

def labelbooklets(labels, pagecount, booklets="booklets.pdf", output="labeled_booklets.pdf", colfname="fname", collname="lname", colid="netID"):

the function takes the same arguments:

  • labels: A pandas dataframe containing the student names and netIDs
  • pagecount: The number of pages in each exam
  • booklets: The path to the exam booklets generated by Crowdmark; defaults to "booklets.pdf" in the working directory
  • output: The path to output the labeled booklets; defaults to "labeled_booklets.pdf" in the working directory
  • colfname: The name of your student first name column in your labels dataframe; defaults to "fname"
  • collname: The name of your student last name column in your labels dataframe; defaults to "lname"
  • colid: The name of your student ID column in your labels dataframe; defaults to "netID"


An example is provided in the example folder. It contains:

  • an excel spreadsheet of fake names called labels.xlsx and an identical tab delimited file called labels.txt
  • a fake exam with a Crowdmark name box called booklets.pdf
  • a script that calls the labelbooklets function called

The output of this example is the included labeled_booklets.pdf


Crowdmark Labeler is licensed under the MIT License.


Why does the inserted text look different/bad on my device?

The script uses the font "Courier" when inserting text. While all versions of Acrobat reader, Windows, and Mac OSX have this font, not all readers and systems do (eg. Android). This is not a limitation unless you intend to print with a device that does not support this font.

Does this support documents with A4, legal, etc. paper?

No, it only supports letter paper at the moment. It should be easy to add other formats. Please create an issue (or pull request) if you would like to see any other paper size supported.

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