tabulizer (version 0.2.2)

extract_tables: extract_tables


Extract tables from a file


extract_tables(file, pages = NULL, area = NULL, columns = NULL,
  guess = TRUE, method = c("decide", "lattice", "stream"),
  output = c("matrix", "data.frame", "character", "asis", "csv", "tsv",
  "json"), outdir = NULL, password = NULL, encoding = NULL,
  copy = FALSE, ...)



A character string specifying the path or URL to a PDF file.


An optional integer vector specifying pages to extract from.


An optional list, of length equal to the number of pages specified, where each entry contains a four-element numeric vector of coordinates (top,left,bottom,right) containing the table for the corresponding page. As a convenience, a list of length 1 can be used to extract the same area from all (specified) pages. Only specify area xor columns.


An optional list, of length equal to the number of pages specified, where each entry contains a numeric vector of horizontal (x) coordinates separating columns of data for the corresponding page. As a convenience, a list of length 1 can be used to specify the same columns for all (specified) pages. Only specify area xor columns.


A logical indicating whether to guess the locations of tables on each page. If FALSE, area or columns must be specified; if TRUE, columns is ignored.


A string identifying the prefered method of table extraction.

  • method = "decide" (default) automatically decide (for each page) whether spreadsheet-like formatting is present and "lattice" is appropriate

  • method = "lattice" use Tabula's spreadsheet extraction algorithm

  • method = "stream" use Tabula's basic extraction algorithm


A function to coerce the Java response object (a Java ArrayList of Tabula Tables) to some output format. The default method, “matrices”, returns a list of character matrices. See Details for other options.


Output directory for files if output is set to "csv", "tsv" or "json", ignored otherwise. If equals NULL (default), uses R sessions temporary directory tempdir().


Optionally, a character string containing a user password to access a secured PDF.


Optionally, a character string specifying an encoding for the text, to be passed to the assignment method of Encoding.


Specifies whether the original local file(s) should be copied to tempdir() before processing. FALSE by default. The argument is ignored if file is URL.

These are additional arguments passed to the internal functions dispatched by method.


By default, a list of character matrices. This can be changed by specifying an alternative value of method (see Details).


This function mimics the behavior of the Tabula command line utility. It returns a list of R character matrices containing tables extracted from a file by default. This response behavior can be changed by using the following options.

  • output = "character" returns a list of single-element character vectors, where each vector is a tab-delimited, line-separate string of concatenated table cells.

  • output = "data.frame" attempts to coerce the structure returned by method = "character" into a list of data.frames and returns character strings where this fails.

  • output = "csv" writes the tables to comma-separated (CSV) files using Tabula's CSVWriter method in the same directory as the original PDF. method = "tsv" does the same but with tab-separated (TSV) files using Tabula's TSVWriter and method = "json" does the same using Tabula's JSONWriter method. Any of these three methods return the path to the directory containing the extract table files.

  • output = "asis" returns the Java object reference, which can be useful for debugging or for writing a custom parser.

extract_areas implements this functionality in an interactive mode allowing the user to specify extraction areas for each page.



See Also

extract_areas, get_page_dims, make_thumbnails, split_pdf


Run this code
# simple demo file
f <- system.file("examples", "data.pdf", package = "tabulizer")

# extract all tables

# extract tables from only second page
extract_tables(f, pages = 2)

# extract areas from a page
## full table
extract_tables(f, pages = 2, area = list(c(126, 149, 212, 462)))
## part of the table
extract_tables(f, pages = 2, area = list(c(126, 284, 174, 417)))

# return data.frames
extract_tables(f, pages = 2, output = "data.frame")
# }

Run the code above in your browser using DataCamp Workspace