Reputation: 1287
I have searched through SO and the closest I got to the answer was here.
But my requirement is to get a simpler & more elegant way to extract bold from a simple paragraph of text of pdf. The pdftools
package only extracts the plain text component. Does anyone know if there is any other way to simply detect bold tokens (or words) from a chunk of text in pdf. I use R so kindly restrict to suggestions in R.
Upvotes: 1
Views: 3325
Reputation: 185
JUNE 2021 UPDATED ANSWER
I think this question needs an updated answer.
GOOD NEWS: The R package pdftools
has included in its recent update the option to extract font-data
from the pdfs. The function pdf_data
has now an additional argument font_info
described in the documentation:
font_info if TRUE, extract font-data for each box. Be careful, this requires a very recent version of poppler and will error otherwise.
A simple implementation using pdftools::pdf_data
with font_info=TRUE
shows that:
pdftools::pdf_data(pdf = "https://arxiv.org/pdf/2012.10582.pdf", font_info = TRUE)
REMARKS:
KBJWLM+NimbusRomNo9L-Medi
.ReguItal
which stands for 'Regular Italics'. For example, ZBSJXS+NimbusRomNo9L-ReguItal
.Regu
suffixes as in VDTZKA+NimbusRomNo9L-Regu
.WARNING: This answer has never been tested for pdf images (scanned) with overlapped/overlayed text.
Upvotes: 3
Reputation: 1287
This answer is based on answers received from @hrbmstr and @ralf. So thanks to them. I've made the answers simpler (mainly taking out the peculiarity of the HTML conversion & file naming). Also it is tailored for MAC OS users (perhaps LINUX too) - not sure about Windows guys.
I presume you have pdftohtml
installed on your machine. If not use brew install pdftohtml
. If you donot have homebrew on your MAC then install it first. A link is provided to help you for homebrew.
Once you are sure pdftohtml
is installed on the mac, go with this R function to extract bold from any pdf document.
library(magrittr)
library(rvest)
library(stringr)
# pass a pdf file in current directory to this function
extr_bold <- function(file) {
basefile <- str_remove(file,"\\.pdf|\\.PDF")
htmlfile <- paste0(basefile,"s",".html")
if(!exists(htmlfile) )
system2("pdftohtml",args = c("-i",file),stdout=NULL)
nodevar <- read_html(htmlfile)
x <- html_nodes(nodevar,xpath = ".//b")
html_text(x)
}
Upvotes: 1
Reputation: 78832
Along with having a flexible toolkit, data science regularly requires out-of-the-box thinking (at least in my profession).
I don't think they are what you think they are. "Bold" (or "italic", etc.) isn't "metadata". You should spend some time reading up on PDF files because they are complex, nasty, evil things that you are likely to encounter often when working with data. Read this — https://stackoverflow.com/a/19777953/1457051 — to see what finding bold text actually entails (follow the link to the 1.8.x Java pdfbox
solution).
While I'm one of the YUGEst proponents of R, not everything needs to be done or should be done in R. Sure, we'll use R to eventually get your bold text but we'll use a helper command-line utility to do so.
The pdftools
package is based on the poppler
library. It comes with the source so "I'm just an R user" folks likely don't have the full poppler
toolset on their system.
Mac folks can use Homebrew to (once you get Homebrew setup):
brew install poppler
Linux folks know how to do things. Windows folks are lost forever (there are poppler binaries for you, but your time would be better spent switching to a real operating system).
Once you do that, you can use the below to achieve your goal.
First, we'll make a helper function with lots of safety bumpers:
#' Uses the command-line pdftohtml function from the poppler library
#' to convert a PDF to HTML and then read it in with xml2::read_html()
#'
#' @md
#' @param path the path to the file [path.expand()] will be run on this value
#' @param extra_args extra command-line arguments to be passed to `pdftohtml`.
#' They should be supplied as you would supply arguments to the `args`
#' parameter of [system2()].
read_pdf_as_html <- function(path, extra_args=character()) {
# make sure poppler/pdftohtml is installed
pdftohtml <- Sys.which("pdftohtml")
if (pdftohtml == "") {
stop("The pdftohtml command-line utility must be installed.", call.=FALSE)
}
# make sure the file exists
path <- path.expand(path)
stopifnot(file.exists(path))
# pdf's should really have a PDF extension
stopifnot(tolower(tools::file_ext(path)) == "pdf")
# get by with a little help from our friends
suppressPackageStartupMessages({
library(xml2, warn.conflicts = FALSE, quietly = TRUE)
library(rvest, warn.conflicts = FALSE, quietly = TRUE)
})
# we're going to do the conversion in a temp directory space
td <- tempfile(fileext = "_dir")
dir.create(td)
on.exit(unlink(td, recursive=TRUE), add=TRUE)
# save our current working directory
curwd <- getwd()
on.exit(setwd(curwd), add=TRUE)
# move to the temp space
setwd(td)
file.copy(path, td)
# collect the extra arguments
c(
"-i" # ignore images
) -> args
args <- c(args, extra_args, basename(path), "r-doc") # saves it to r-doc-html.html
# this could take seconds so inform users what's going on
message("Converting ", basename(path), "...")
# we'll let stderr display so you can debug errors
system2(
command = pdftohtml,
args = args,
stdout = TRUE
) -> res
res <- gsub("^Page-", "", res[length(res)])
message("Converted ", res, " pages")
# this will need to be changed if poppler ever does anything different
xml2::read_html("r-docs.html")
}
Now, we'll use it:
doc <- read_pdf_as_html("~/Data/Mulla__Indian_Contract_Act2018-11-12_01-00.PDF")
bold_tags <- html_nodes(doc, xpath=".//b")
bold_words <- html_text(bold_tags)
head(bold_words, 20)
## [1] "Preamble"
## [2] "WHEREAS it is expedient to define and amend certain parts of the law relating to contracts;"
## [3] "History"
## [4] "Ancient and Medieval Period"
## [5] "The Introduction of English Law Into India"
## [6] "Mofussal Courts"
## [7] "Legislation"
## [8] "The Indian Contract Act 1872"
## [9] "The Making of the Act"
## [10] "Law of Contract Until 1950"
## [11] "The Law of Contract after 1950"
## [12] "Amendments to This Act"
## [13] "Other Laws Affecting Contracts and Enforcement"
## [14] "Recommendations of the Indian Law Commission"
## [15] "Section 1."
## [16] "Short title"
## [17] "Extent, Commencement."
## [18] "Enactments Repealed."
## [19] "Applicability of the Act"
## [20] "Scheme of the Act"
length(bold_words)
## [1] 1939
No Java required at all and you've got your bold words.
If you do want to go the pdfbox-app
route as Ralf noted, you can use this wrapper to make it easier to work with:
read_pdf_as_html_with_pdfbox <- function(path) {
java <- Sys.which("java")
if (java == "") {
stop("Java binary is not on the system PATH.", call.=FALSE)
}
# get by with a little help from our friends
suppressPackageStartupMessages({
library(httr, warn.conflicts = FALSE, quietly = TRUE)
library(xml2, warn.conflicts = FALSE, quietly = TRUE)
library(rvest, warn.conflicts = FALSE, quietly = TRUE)
})
path <- path.expand(path)
stopifnot(file.exists(path))
# pdf's should really have a PDF extension
stopifnot(tolower(tools::file_ext(path)) == "pdf")
# download the pdfbox "app" if not installed
if (!dir.exists("~/.pdfboxjars")) {
message("~/.pdfboxjars not found. Creating it and downloading pdfbox-app jar...")
dir.create("~/.pdfboxjars")
httr::GET(
url = "http://central.maven.org/maven2/org/apache/pdfbox/pdfbox-app/2.0.12/pdfbox-app-2.0.12.jar",
httr::write_disk(file.path("~/.pdfboxjars", "pdfbox-app-2.0.12.jar")),
httr::progress()
) -> res
httr::stop_for_status(res)
}
# we're going to do the conversion in a temp directory space
tf <- tempfile(fileext = ".html")
on.exit(unlink(tf), add=TRUE)
c(
"-jar",
path.expand(file.path("~/.pdfboxjars", "pdfbox-app-2.0.12.jar")),
"ExtractText",
"-html",
path,
tf
) -> args
# this could take seconds so inform users what's going on
message("Converting ", basename(path), "...")
system2(
command = java,
args = args
) -> res
xml2::read_html(tf)
}
Upvotes: 3
Reputation: 26833
You don't have to use tabularizer
, but I don't know a way that does not involve Java. I had hoped that Apache Tika via the rtika
package can be used. However, bold text is not rendered as such. However, one can use pdfbox as shown in that ticket:
java -jar <pdfbox-jar> ExtractText -html <pdf-file> <html-file>
This command would normally started in a shell, but you can also use system(2)
from within R. Then in R use
html <- xml2::read_html(<html-file>)
bold <- xml2::xml_find_all(html, '//b')
head(xml2::xml_contents(bold))
to process the HTML file. With your document this returns
{xml_nodeset (6)}
[1] Preamble\n
[2] WHEREAS it is expedient to define and amend certain parts of the law relating to contracts;\n
[3] History\n
[4] Ancient and Medieval Period\n
[5] The Introduction of English Law Into India\n
[6] Mofussal Courts\n
Upvotes: 2