A python library/command-line tool to extract the DOI or other identifiers of a scientific paper from a pdf file, and to quickly and automatically generate BibTeX data.
Project description
pdf2doi
pdf2doi is a Python library to extract the DOI or other identifiers (e.g. arXiv ID) starting from the .pdf file of a publication (or from a folder containing several .pdf files). It exploits several methods (see below for detailed description) to find a possible identifier, and it validates any result via web queries to public archives (e.g. http://dx.doi.org). Additionally, it can automatically generate bibtex entries for all pdf files in a target folder.
pdf2doi can be used either from command line, or inside your python script or, only for Windows, directly from the right-click context menu of a pdf file or a folder.
Table of Contents
Description
Automatically associating a DOI or other identifiers (e.g. arXiv ID) to a pdf file can be either a very easy or a very difficult (sometimes nearly impossible) task, depending on how much care was placed in crafting the file. In the simplest case (which typically works with most recent publications) it is enough to look into the file metadata. For older publications, the identifier is often found within the pdf text and it can be extracted with the help of regular expressions. In the unluckiest cases, the only method left is to google some details of the publication (e.g. the title or parts of the text) and hope that a valid identifier is contained in one of the first results.
The pdf2doi library applies sequentially all these methods (starting from the simplest ones) until a valid identifier is found and validated.
Specifically, for a given .pdf file it will, in order,
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Look into the metadata of the .pdf file (extracted via the library PyPDF2) and see if any string matches the pattern of a DOI or an arXiv ID. Priority is given to metadata which contain the word 'doi' in their label.
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Check if the file name file contains any sub-string that matches the pattern of a DOI or an arXiv ID.
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Scan the text inside the .pdf file, and check for any string that matches the pattern of a DOI or an arXiv ID. The text is extracted with the libraries PyPDF2 and textract.
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Try to find possible titles of the publication. In the current version, possible titles are identified via the library pdftitle, and by the file name. For each possible title a google search is performed and the plain text of the first results is scanned for valid identifiers.
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As a last desperate attempt, the first N=1000 characters of the pdf text are used as a query for a google search. The plain text of the first results is scanned for valid identifiers.
Any time that a possible identifier is found, it is validated by performing a query to a relevant website (e.g., http://dx.doi.org for DOIs and http://export.arxiv.org for arxiv IDs).
The validation process returns a valid bibtex entry when the identifier is valid.
Thus, pdf2doi can also automatically generate bibtex entries for all pdf files in a target folder.
When a valid identifier is found with any method different than the first one, the identifier will also be stored inside the metadata of the pdf file. In this way, future lookups of this same file will be able to extract the identifier with the first method, speeding up the search. This feature can be disabled by the user (in case edits to the pdf file are not desired).
The library is far from being perfect. Often, especially for old publications, none of the currently implemented methods will work. Other times the wrong DOI might be extracted: this can happen, for example,
if the DOI of another paper is present in the pdf text and it appears before the correct DOI. A quick and dirty solution to this problem is to manually add the correct DOI to the metadata
of the file (with the methods shown here (from python console) or here (from command line).
In this way, pdf2doi will always retrieve the correct DOI, which can be useful for the generation of bibtex entries and for when pdf2doi is used
for other bibliographic purposes.
Currently, only the format of arXiv identifiers in use after 1 April 2007 is supported.
Installation
Use the package manager pip to install pdf2doi.
pip install pdf2doi
Installing the shortcuts in the right-click context menu of Windows
This functionality is only available on Windows (and so far it has been tested only on Windows 10). It adds additional commands to the context menu of Windows which appears when right-clicking on a pdf file or on a folder, and it allows to copy the identifier(s) o or the bibtex entry(ies) of the paper(s) into the system clipboard, or also to manually set the identifier of a pdf file (see also here).
The different menu commands allow to copy the paper(s) identifier(s), or bibtex entry(ies), into the system clipboard, or also to manually set the identifier of a pdf file (see also here).
To install this functionality, first install pdf2doi from pip (as described above), then open a command prompt with administrator rights and execute
$ pdf2doi -install--right--click
and to remove it, simply run (again from a terminal with administrator rights)
$ pdf2doi -uninstall--right--click
If it is not possible to run this command from a terminal with administrator rights, it is also possible to use the batch files here (see readme.MD file in the same folder for instructions), although it is still required to have admnistrator rights.
NOTE: when multiple pdf files are selected, and the right-click context menu commands are used, pdf2doi will be called separately for each file, and thus
only the info of the last file will be stored in the clipboard. In order to copy the info of multiple files, it is necessary to save them in a folder and right click on the folder.
Usage
pdf2doi can be used either as a stand-alone application invoked from the command line, or by importing it in your python project or, only for Windows, directly from the right-click context menu of a pdf file or a folder.
Command line usage
pdf2doi can be invoked directly from the command line, without having to open a python console.
The simplest command-line invokation is
$ pdf2doi 'path/to/target'
where target is either a valid pdf file or a directory containing pdf files. For example, when targeting the folder examples we get the following output
$ pdf2doi ".\examples"
[pdf2doi]: Looking for pdf files in the folder .\examples...
[pdf2doi]: Found 4 pdf files.
[pdf2doi]: ................
[pdf2doi]: Trying to retrieve a DOI/identifier for the file: .\examples-s2.0-0021999186900938-main.pdf
[pdf2doi]: Method #1: Looking for a valid identifier in the document infos...
[pdf2doi]: Could not find a valid identifier in the document info.
[pdf2doi]: Method #2: Looking for a valid identifier in the file name...
[pdf2doi]: Could not find a valid identifier in the file name.
[pdf2doi]: Method #3: Looking for a valid identifier in the document text...
[pdf2doi]: Extracting text with the library PyPdf...
[pdf2doi]: Text extracted succesfully. Looking for an identifier in the text...
[pdf2doi]: Could not find a valid identifier in the document text extracted by PyPdf.
[pdf2doi]: Extracting text with the library textract...
[pdf2doi]: Text extracted succesfully. Looking for an identifier in the text...
[pdf2doi]: Could not find a valid identifier in the document text extracted by textract.
[pdf2doi]: Could not find a valid identifier in the document text.
[pdf2doi]: Method #4: Looking for possible publication titles...
[pdf2doi]: Found 3 possible title(s).
[pdf2doi]: Doing a google search for "An Efficient Numerical Evaluation of the Greenâs Function for the Helmholtz Operator on Periodic Structures",
[pdf2doi]: looking at the first 6 results...
[pdf2doi]: Performing google search with key "An Efficient Numerical Evaluation of the Greenâs Function for the Helmholtz Operator on Periodic Str ...[query too long, the remaining part is suppressed in the logging]"
[pdf2doi]: Looking for a valid identifier in the search result #1 : https://www.sciencedirect.com/science/article/pii/0021999186900938
[pdf2doi]: Validating the possible DOI 10.1016/0021-9991(86)90093-8 via a query to dx.doi.org...
[pdf2doi]: The DOI 10.1016/0021-9991(86)90093-8 is validated by dx.doi.org. A bibtex entry was also created.
[pdf2doi]: A valid DOI was found with this google search.
[pdf2doi]: Trying to write the identifier '10.1016/0021-9991(86)90093-8' into the metadata of the file '.\examples-s2.0-0021999186900938-main.pdf'...
[pdf2doi]: The identifier '10.1016/0021-9991(86)90093-8' was added succesfully to the metadata of the file '.\examples-s2.0-0021999186900938-main.pdf' with key '/identifier'...
[pdf2doi]: 10.1016/0021-9991(86)90093-8
[pdf2doi]: ................
[pdf2doi]: Trying to retrieve a DOI/identifier for the file: .\examples\chaumet_JAP_07.pdf
[pdf2doi]: Method #1: Looking for a valid identifier in the document infos...
[pdf2doi]: Could not find a valid identifier in the document info.
[pdf2doi]: Method #2: Looking for a valid identifier in the file name...
[pdf2doi]: Could not find a valid identifier in the file name.
[pdf2doi]: Method #3: Looking for a valid identifier in the document text...
[pdf2doi]: Extracting text with the library PyPdf...
[pdf2doi]: Text extracted succesfully. Looking for an identifier in the text...
[pdf2doi]: Validating the possible DOI 10.1063/1.2409490I.INTRODUCTION via a query to dx.doi.org...
[pdf2doi]: The DOI 10.1063/1.2409490I.INTRODUCTION is not valid according to dx.doi.org.
[pdf2doi]: Validating the possible DOI 10.1063/1.2409490I.INTRODUCTION via a query to dx.doi.org...
[pdf2doi]: The DOI 10.1063/1.2409490I.INTRODUCTION is not valid according to dx.doi.org.
[pdf2doi]: Validating the possible DOI 10.1063/1.2409490 via a query to dx.doi.org...
[pdf2doi]: The DOI 10.1063/1.2409490 is validated by dx.doi.org. A bibtex entry was also created.
[pdf2doi]: A valid DOI was found in the document text.
[pdf2doi]: Trying to write the identifier '10.1063/1.2409490' into the metadata of the file '.\examples\chaumet_JAP_07.pdf'...
[pdf2doi]: The identifier '10.1063/1.2409490' was added succesfully to the metadata of the file '.\examples\chaumet_JAP_07.pdf' with key '/identifier'...
[pdf2doi]: 10.1063/1.2409490
[pdf2doi]: ................
[pdf2doi]: Trying to retrieve a DOI/identifier for the file: .\examples\PhysRevLett.116.061102.pdf
[pdf2doi]: Method #1: Looking for a valid identifier in the document infos...
[pdf2doi]: Could not find a valid identifier in the document info.
[pdf2doi]: Method #2: Looking for a valid identifier in the file name...
[pdf2doi]: Could not find a valid identifier in the file name.
[pdf2doi]: Method #3: Looking for a valid identifier in the document text...
[pdf2doi]: Extracting text with the library PyPdf...
[pdf2doi]: Text extracted succesfully. Looking for an identifier in the text...
[pdf2doi]: Validating the possible DOI 10.1103/PhysRevLett.116.061102 via a query to dx.doi.org...
[pdf2doi]: The DOI 10.1103/PhysRevLett.116.061102 is validated by dx.doi.org. A bibtex entry was also created.
[pdf2doi]: A valid DOI was found in the document text.
[pdf2doi]: Trying to write the identifier '10.1103/PhysRevLett.116.061102' into the metadata of the file '.\examples\PhysRevLett.116.061102.pdf'...
[pdf2doi]: The identifier '10.1103/PhysRevLett.116.061102' was added succesfully to the metadata of the file '.\examples\PhysRevLett.116.061102.pdf' with key '/identifier'...
[pdf2doi]: 10.1103/PhysRevLett.116.061102
[pdf2doi]: ................
[pdf2doi]: Trying to retrieve a DOI/identifier for the file: .\examples\s41586-019-1666-5.pdf
[pdf2doi]: Method #1: Looking for a valid identifier in the document infos...
[pdf2doi]: Validating the possible DOI 10.1038/s41586-019-1666-5 via a query to dx.doi.org...
[pdf2doi]: The DOI 10.1038/s41586-019-1666-5 is validated by dx.doi.org. A bibtex entry was also created.
[pdf2doi]: A valid DOI was found in the document info labelled '/doi'.
[pdf2doi]: 10.1038/s41586-019-1666-5
[pdf2doi]: ................
DOI 10.1016/0021-9991(86)90093-8 .\examples-s2.0-0021999186900938-main.pdf
DOI 10.1063/1.2409490 .\examples\chaumet_JAP_07.pdf
DOI 10.1103/PhysRevLett.116.061102 .\examples\PhysRevLett.116.061102.pdf
DOI 10.1038/s41586-019-1666-5 .\examples\s41586-019-1666-5.pdf
In the output, the first column specifies the kind of identifier (currently either 'DOI' or 'arxiv'), the second column contains the found DOI/identifier, and the third column contains the file path.
The logging information can be suppressed by adding the optional argument -nv (no verbose), i.e.
$ pdf2doi ".\examples" -nv
A list of all optional arguments can be generated by pdf2doi --h
$ pdf2doi --h
usage: pdf2doi [-h] [-nv] [-nws] [-nwv] [-nostore] [-id IDENTIFIER] [-google_results GOOGLE_RESULTS] [-s FILENAME_IDENTIFIERS] [-b FILENAME_BIBTEX] [-bclip] [-doiclip] [-install--right--click] [-uninstall--right--click]
[path [path ...]]
Retrieves the DOI or other identifiers (e.g. arXiv) from pdf files of a publications.
positional arguments:
path Relative path of the target pdf file or of the targe folder.
optional arguments:
-h, --help show this help message and exit
-nv, --no_verbose Decrease verbosity.
-nws, --no_web_search
Disable any method to find identifiers which requires internet searches (e.g. queries to google).
-nwv, --no_web_validation
Disable the online validation of identifiers (e.g., via queries to http://dx.doi.org/).
-nostore, --no_store_identifier_metadata
By default, anytime an identifier is found it is added to the metadata of the pdf file (if not present yet). By setting this parameter, the identifier is not stored in the file metadata.
-id IDENTIFIER Stores the string IDENTIFIER in the metadata of the target pdf file, with key '/identifier'. Note: when this argument is passed, all other arguments (except for the path to the pdf file) are ignored.
-google_results GOOGLE_RESULTS
Set how many results should be considered when doing a google search for the DOI (default=6).
-s FILENAME_IDENTIFIERS, --save_identifiers_file FILENAME_IDENTIFIERS
Save all the identifiers found in the target folder in a text file inside the same folder with name specified by FILENAME_IDENTIFIERS. This option is only available when a folder is targeted.
-b FILENAME_BIBTEX, --make_bibtex_file FILENAME_BIBTEX
Create a text file inside the target directory with name given by FILENAME_BIBTEX containing the bibtex entry of each pdf file in the target folder (if a valid identifier was found). This option is only
available when a folder is targeted, and when the web validation is allowed.
-bclip, --save_bibtex_clipboard
Store all found bibtex entries into the clipboard.
-doiclip, --save_doi_clipboard
Store all found DOI/identifiers into the clipboard.
-install--right--click
Add a shortcut to pdf2doi in the right-click context menu of Windows. You can copy the identifier and/or bibtex entry of a pdf file (or all pdf files in a folder) into the clipboard by just right clicking on it!
NOTE: this feature is only available on Windows.
-uninstall--right--click
Uninstall the right-click context menu functionalities. NOTE: this feature is only available on Windows.
Generate list of bibtex entries from command line
The online validation of an identifier relies on performing queries to different online archives
(e.g., http://dx.doi.org for DOIs and http://export.arxiv.org for arxiv IDs). Using data obtained from these queries, a bibtex entry can be automatically created.
By uasing the optional argument -b filename, a list of bibtex entries for all the pdf files in the targetted folder is generated in a file within the same folder.
For example, if the target is the folder examples, the command
$ pdf2doi ".\examples" -b "bibtex.txt"
creates the file bibtex.txt inside the same folder.
Manually associate the correct identifier to a file from command line
Sometimes it is not possible to retrieve a DOI/identifier automatically, or maybe the one that is retrieved is not the correct one. This can be
a problem when using pdf2doi to generate the bibtex entries of a bunch of pdf files, or for other bibliographic purposes. This problem can be fixed
by looking for the DOI/identifier manually and add it to the pdf metadata, by using the -id argument,
$ pdf2doi "path o\pdf" -id "identifier"
this creates a new metadata in the pdf file with label '/identifier' and containing the string identifier.
Usage inside a python script
pdf2doi can also be used as a library within a python script. The function pdf2doi.pdf2doi is the main point of entry. It can be used to look for the identifier of a pdf file by applying all the available methods.
The first input argument must be a valid path (either absolute or relative) to a pdf file or to a folder containing pdf files.
Setting the optional argument verbose=True will increase the output verbosity, documenting all steps performed by the library. Using as a test the folder examples,
>>> import pdf2doi
>>> results = pdf2doi.pdf2doi('.\examples',verbose=True)
The output of the function pdf2doi.pdf2doi is a list of dictionaries (or just a single dictionary if a single file was targeted). Each dictionary has the following keys
result['identifier'] = DOI or other identifier (or None if no identifier was found for this file)
result['identifier_type'] = string specifying the type of identifier (e.g. 'doi' or 'arxiv')
result['validation_info'] = Additional info on the paper. If the online validation is enabled, then result['validation_info']
will contain a bibtex entry for this paper. Otherwise it will just contain True
result['path'] = path of the pdf file
result['method'] = method used to find the identifier
For example, the DOIs/identifiers of each file can be printed by
>>> for result in results:
>>> print(result['identifier'])
10.1016/0021-9991(86)90093-8
10.1063/1.2409490
10.1103/PhysRevLett.116.061102
10.1038/s41586-019-1666-5
Additional optional arguments can be passed to the function pdf2doi.pdf2doi to control its behaviour, for example to specify if
web-based methods (either to find an identifier and/or to validate it) should not be used.
def pdf2doi(target, verbose=False, websearch=True, webvalidation=True,
save_identifier_metadata = config.save_identifier_metadata,
numb_results_google_search=config.numb_results_google_search,
filename_identifiers = False, filename_bibtex = False):
'''
Parameters
----------
target : string
Relative or absolute path of a .pdf file or a directory containing pdf files
verbose : boolean, optional
Increases the output verbosity. The default is False.
websearch : boolean, optional
If set false, any method to find an identifier which requires a web search is disabled. The default is True.
webvalidation : boolean, optional
If set false, validation of identifiers via internet queries (e.g. to dx.doi.org or export.arxiv.org) is disabled.
The default is True.
save_identifier_metadata : boolean, optional
If set True, when a valid identifier is found with any method different than the metadata lookup, the identifier
is also written in the file metadata with key "/identifier" (this will speed up future lookup of thi same file).
If set False, this does not happen. The default is True.
numb_results_google_search : integer, optional
It sets how many results are considered when performing a google search. The default is config.numb_results_google_search.
filename_identifiers : string or boolean, optional
If set equal to a string, all identifiers found in the directory specified by target are saved into a text file
inside the same directory and with a name specified by filename_identifiers.
The default is False. It is ignored if the input parameter target is a file.
filename_bibtex : string or boolean, optional
If set equal to a string, all bibtex entries obtained in the validation process for all pdf files found in the
directory specified by target are saved into a file inside the same directory and with a name specified by filename_bibtex.
The default is False. It is ignored if the input parameter target is a file.
store_bibtex_clipboard : boolean, optional
If set true, the bibtex entries of all pdf files (or a for a single pdf file if target is a file) are
stored in the system clipboard. The default is False.
store_identifier_clipboard : boolean, optional
If set true, the identifier of all pdf files (or a for a single pdf file if target is a file) are
stored in the system clipboard. The default is False.
If both store_bibtex_clipboard and store_identifier_clipboard are set to true, the bibtex entries have
priority.
'''
By default, everytime that a valid DOI/identifier is found, it is stored in the metadata of the pdf file. In this way, subsequent lookups of the same folder/file will be much faster.
This behaviour can be removed (e.g. if the user does not want or cannot edit the files) by setting the optional argument save_identifier_metadata = False
Generate list of bibtex entries
Similarly to the command line approach, the function pdf2doi.pdf2doi can be used
to generate bibtex entries and save them on file. By setting the input argument filename_bibtex equal to a
valid filename, the bibtex entries of all files in the target directory will be saved in a file within the same directory. For example,
>>> import pdf2doi
>>> results = pdf2doi.pdf2doi('.\examples', filename_bibtex='bibtex.txt')
creates the file bibtex.txt in the 'examples' folder.
Manually associate the correct identifier to a file
Similarly to what described above, it is possible to associate a (manually found)
identifier to a pdf file also from within python, by using the function pdf2doi.add_found_identifier_to_metadata:
>>> import pdf2doi
>>> pdf2doi.add_found_identifier_to_metadata(path_to_pdf_file, identifier)
this creates a new metadata in the pdf file with label '/identifier' and containing the string identifier.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
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