Extract text from an image. Requires that you have training data for the language you are reading. Works best for images with high contrast, little noise and horizontal text. See tesseract wiki and the package vignette for image preprocessing tips.
Arguments
- file
file path or raw vector (png, tiff, jpeg, etc).
- engine
a tesseract engine created with
tesseract(). Alternatively a language string which will be passed totesseract().- HOCR
if
TRUEreturn results as HOCR xml instead of plain text- opw
owner password to open pdf (please pass it as an environment variable to avoid leaking sensitive information)
- upw
user password to open pdf (please pass it as an environment variable to avoid leaking sensitive information)
Value
character vector of text extracted from the file. If the file is has TIFF or PDF extension, it will be a vector of length equal to the number of pages.
Details
The ocr() function returns plain text by default, or hOCR text if hOCR is set to TRUE.
The ocr_data() function returns a data frame with a confidence rate and bounding box for
each word in the text.
See also
Other tesseract:
tesseract(),
tesseract_download()
Examples
file <- system.file("examples", "test.png", package = "cpp11tesseract")
text <- ocr(file)
cat(text)
#> This is a test.