Provided by: tesseract-ocr_4.00~git2288-10f4998a-2_amd64 bug

NAME

       text2image - generate OCR training pages.

SYNOPSIS

       text2image --text FILE --outputbase PATH --fonts_dir PATH [OPTION]

DESCRIPTION

       text2image(1) generates OCR training pages. Given a text file it outputs an image with a
       given font and degradation.

OPTIONS

       --text FILE
           File name of text input to use for creating synthetic training data. (type:string
           default:)

       --outputbase FILE
           Basename for output image/box file (type:string default:)

       --fontconfig_tmpdir PATH
           Overrides fontconfig default temporary dir (type:string default:/tmp)

       --fonts_dir PATH
           If empty it use system default. Otherwise it overrides system default font location
           (type:string default:)

       --font FONTNAME
           Font description name to use (type:string default:Arial)

       --writing_mode MODE
           Specify one of the following writing modes.  horizontal : Render regular horizontal
           text. (default) vertical : Render vertical text. Glyph orientation is selected by
           Pango.  vertical-upright : Render vertical text. Glyph orientation is set to be
           upright. (type:string default:horizontal)

       --tlog_level INT
           Minimum logging level for tlog() output (type:int default:0)

       --max_pages INT
           Maximum number of pages to output (0=unlimited) (type:int default:0)

       --degrade_image BOOL
           Degrade rendered image with speckle noise, dilation/erosion and rotation (type:bool
           default:true)

       --rotate_image BOOL
           Rotate the image in a random way. (type:bool default:true)

       --strip_unrenderable_words BOOL
           Remove unrenderable words from source text (type:bool default:true)

       --ligatures BOOL
           Rebuild and render ligatures (type:bool default:false)

       --exposure INT
           Exposure level in photocopier (type:int default:0)

       --resolution INT
           Pixels per inch (type:int default:300)

       --xsize INT
           Width of output image (type:int default:3600)

       --ysize INT
           Height of output image (type:int default:4800)

       --margin INT
           Margin round edges of image (type:int default:100)

       --ptsize INT
           Size of printed text (type:int default:12)

       --leading INT
           Inter-line space (in pixels) (type:int default:12)

       --box_padding INT
           Padding around produced bounding boxes (type:int default:0)

       --char_spacing DOUBLE
           Inter-character space in ems (type:double default:0)

       --underline_start_prob DOUBLE
           Fraction of words to underline (value in [0,1]) (type:double default:0)

       --underline_continuation_prob DOUBLE
           Fraction of words to underline (value in [0,1]) (type:double default:0)

       --render_ngrams BOOL
           Put each space-separated entity from the input file into one bounding box. The ngrams
           in the input file will be randomly permuted before rendering (so that there is
           sufficient variety of characters on each line). (type:bool default:false)

       --output_word_boxes BOOL
           Output word bounding boxes instead of character boxes. This is used for Cube training,
           and implied by --render_ngrams. (type:bool default:false)

       --unicharset_file FILE
           File with characters in the unicharset. If --render_ngrams is true and
           --unicharset_file is specified, ngrams with characters that are not in unicharset will
           be omitted (type:string default:)

       --bidirectional_rotation BOOL
           Rotate the generated characters both ways. (type:bool default:false)

       --only_extract_font_properties BOOL
           Assumes that the input file contains a list of ngrams. Renders each ngram, extracts
           spacing properties and records them in output_base/[font_name].fontinfo file.
           (type:bool default:false)

USE THESE FLAGS TO OUTPUT ZERO-PADDED, SQUARE INDIVIDUAL CHARACTER IMAGES

       --output_individual_glyph_images BOOL
           If true also outputs individual character images (type:bool default:false)

       --glyph_resized_size INT
           Each glyph is square with this side length in pixels (type:int default:0)

       --glyph_num_border_pixels_to_pad INT
           Final_size=glyph_resized_size+2*glyph_num_border_pixels_to_pad (type:int default:0)

USE THESE FLAGS TO FIND FONTS THAT CAN RENDER A GIVEN TEXT

       --find_fonts BOOL
           Search for all fonts that can render the text (type:bool default:false)

       --render_per_font BOOL
           If find_fonts==true, render each font to its own image. Image filenames are of the
           form output_name.font_name.tif (type:bool default:true)

       --min_coverage DOUBLE
           If find_fonts==true, the minimum coverage the font has of the characters in the text
           file to include it, between 0 and 1. (type:double default:1)

       Example Usage: ``` text2image --find_fonts \ --fonts_dir /usr/share/fonts \ --text
       ../langdata/hin/hin.training_text \ --min_coverage .9 \ --render_per_font \ --outputbase
       ../langdata/hin/hin \ |& grep raw | sed -e s/ :.*/" \\/g | sed -e s/^/ "/
       >../langdata/hin/fontslist.txt ```

SINGLE OPTIONS

       --list_available_fonts BOOL
           List available fonts and quit. (type:bool default:false)

HISTORY

       text2image(1) was first made available for tesseract 3.03.

RESOURCES

       Main web site: https://github.com/tesseract-ocr Information on training tesseract LSTM:
       https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00

SEE ALSO

       tesseract(1)

COPYING

       Copyright (C) 2012 Google, Inc. Licensed under the Apache License, Version 2.0

AUTHOR

       The Tesseract OCR engine was written by Ray Smith and his research groups at Hewlett
       Packard (1985-1995) and Google (2006-present).

                                            04/07/2018                              TEXT2IMAGE(1)