tess_pipeline_text(
    pipe::TessPipeline,
    filename::AbstractString
)::Bool

Generate a text file from the pipeline and save it to the specified file. Returns false if there is a problem adding the text generator to the output.

Arguments:

Details:

If the file exists it will be overwritten.

Examples:

using Tesseract

# Generate some pages to load.
write("page01.tiff", sample_tiff())
write("page02.tiff", sample_tiff())
write("page03.tiff", sample_tiff())

download_languages() # Make sure we have the data files.

instance = TessInst()
pipeline = TessPipeline(instance)

tess_pipeline_text(pipeline, "My Book.txt")

tess_run_pipeline(pipeline, "My First Book") do add
    add(pix_read("page01.tiff"), 72)
    add(pix_read("page02.tiff"), 72)
    add(pix_read("page03.tiff"), 72)
end

for line in readlines("My Book.txt")[1:10]
    println(line)
end

# output

No one would have believed in the last years of the

the nineteenth century that this world was being watched
watched keenly and closely by intelligences greater than
than man’s and yet as mortal as his own; that as men busied
busied themselves about their various concerns they were
were scrutinised and studied, perhaps almost as narrowly as
as a man with a microscope might scrutinise the transient
transient creatures that swarm and multiply in a drop of

See also: tess_run_pipeline, tess_pipeline_alto, tess_pipeline_hocr, tess_pipeline_pdf tess_pipeline_tsv

tess_pipeline_text(
    pipe::TessPipeline
)::Union{TessOutput{String}, Nothing}

Generate a text file from the pipeline and save it to a string. Returns nothing if there is a problem adding the text generator to the output.

Arguments:

Examples:

using Tesseract

# Generate some pages to load.
write("page01.tiff", sample_tiff())
write("page02.tiff", sample_tiff())
write("page03.tiff", sample_tiff())

download_languages() # Make sure we have the data files.

instance = TessInst()
pipeline = TessPipeline(instance)

book = tess_pipeline_text(pipeline)

tess_run_pipeline(pipeline, "My First Book") do add
    add(pix_read("page01.tiff"), 72)
    add(pix_read("page02.tiff"), 72)
    add(pix_read("page03.tiff"), 72)
end

count = 0
for line in split(book[], "\n")[1:10]
    global count
    if count < 10
        println(line)
    end
    count += 1
end

# output

No one would have believed in the last years of the

the nineteenth century that this world was being watched
watched keenly and closely by intelligences greater than
than man’s and yet as mortal as his own; that as men busied
busied themselves about their various concerns they were
were scrutinised and studied, perhaps almost as narrowly as
as a man with a microscope might scrutinise the transient
transient creatures that swarm and multiply in a drop of

See also: tess_run_pipeline, tess_pipeline_alto, tess_pipeline_hocr, tess_pipeline_pdf tess_pipeline_tsv

tess_pipeline_text(
    func::Function,
    pipe::TessPipeline
)::Union{TessOutput, Nothing}

Generate a text file from the pipeline and pass it back to the client via a callback. Returns false if there is a problem adding the text generator to the output.

Arguments:

Details:

The text will be passed to the caller one line at a time. The "\n" line terminator will be included with the text.

Tesseract inserts a "page separator" between pages, by default this value is "\f", however it can be changed with tess_set_param. If you want to use different text to separate the pages you must set the value before calling this function.

Examples:

using Tesseract

# Generate some pages to load.
write("page01.tiff", sample_tiff())
write("page02.tiff", sample_tiff())
write("page03.tiff", sample_tiff())

download_languages() # Make sure we have the data files.

instance = TessInst()
pipeline = TessPipeline(instance)

count = 0
tess_pipeline_text(pipeline) do line
    global count
    if count < 10
        print(line)
    end
    count += 1
end

tess_run_pipeline(pipeline, "My First Book") do add
    add(pix_read("page01.tiff"), 72)
    add(pix_read("page02.tiff"), 72)
    add(pix_read("page03.tiff"), 72)
end

# output

No one would have believed in the last years of the

the nineteenth century that this world was being watched
watched keenly and closely by intelligences greater than
than man’s and yet as mortal as his own; that as men busied
busied themselves about their various concerns they were
were scrutinised and studied, perhaps almost as narrowly as
as a man with a microscope might scrutinise the transient
transient creatures that swarm and multiply in a drop of

true

See also: tess_run_pipeline, tess_pipeline_alto, tess_pipeline_hocr, tess_pipeline_pdf tess_pipeline_tsv