pdfannot 0.0.9

PDF Annotation Utils

# pdfannot

This package aims to create a two-way link between annotated pdf and excel data frame.

It allows you to :

- create an DataFrame containing each string annotated of the pdf in a column 'annot_text', along with its
annotation in a column 'label' and information such as coordinates, page etc.

- annotate a pdf given an DataFrame of the form described above.

It can be really useful for generating automatically annotated pdf documents with NLP models capable to
infer annotations from raw texts in a data frame.


### Prerequisites

- pandas
- fitz
(pip install pymupdf)



### Installing

pip install pdfannot


### Examples

Your DataFrame must contains info on what to annotate on the pdf :

- It should have already columns 'x','y','h','w' (coordinate to make a square) or 'text' (texts to annotate).

annotate_pdf(DataFrame, path_to_corresponding_pdf, path_destination_annotated_pdf)

will use your DataFrame and the directory of your pdf passed in argument to annotate it and store it at path_destination_annotated_pdf.

The function also considers optional columns 'label' to label your annotations and 'type' to specify whether you want
a 'Square' or a 'Highlight'.
Default are label : '' and type : 'Square'. Finally, specifying the annotation's page
with a column 'page' speeds up the algorithm, although it is not necessary.


### Internals

- However if your DataFrame has one text column per label of annotation (WARNING : each of them must be named annot_{label_name})
then you can transform it with :

annot_utils.dlf2adf(DataFrame)

to make it acceptable by annotate_pdf.

next execute :

annotate_pdf(DataFrame, path_to_corresponding_pdf, path_destination_annotated_pdf)

to annotate your pdf (this method allows only highlights).


### Authors

Arthur Renaud, Antoine Marullaz --> Stackadoc

Any recommendation/question ? --> [e-mail]