ocr: Tesseract OCR

In cpp11tesseract: Open Source OCR Engine

Tesseract OCR

Description

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.

Usage

ocr(file, engine = tesseract("eng"), HOCR = FALSE, opw = "", upw = "")

ocr_data(file, engine = tesseract("eng"))

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 to tesseract().
HOCR	if TRUE return 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)

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.

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.

References

Tesseract: Improving Quality

See Also

Other tesseract: tesseract(), tesseract_download()

Examples

file <- system.file("examples", "test.png", package = "cpp11tesseract")
text <- ocr(file)
cat(text)

cpp11tesseract documentation built on April 4, 2025, 5:24 a.m.