COMBINE_LANG_MODEL(1)
π COMBINE_LANG_MODEL(1) β generate starter traineddata π
okay bestie, welcome to COMBINE_LANG_MODEL(1) β yes, the manual page for combine_lang_model β and it's literally the starter-traineddata generator. training-prep main character energy, no cap β¨
π NAME π
combine_lang_model β generate starter traineddata.
πΈ SYNOPSIS πΈ
combine_lang_model --input_unicharset filename --script_dir dirname
--output_dir rootdir --lang lang [--lang_is_rtl] [pass_through_recoder]
[--words file --puncs file --numbers file]
π DESCRIPTION π
combine_lang_model(1) generates a starter traineddata file that can be used to train an LSTM-based neural network model. It takes as input a unicharset and an optional set of wordlists. It eliminates the need to run set_unicharset_properties(1), wordlist2dawg(1), some non-existent binary to generate the recoder (unicode compressor), and finally combine_tessdata(1).
Like, one tool instead of a whole side quest β slay, honestly π«
β¨ OPTIONS β¨
--langlang β The language to use. Tesseract uses 3-character ISO 639-2 language codes. (SeeLANGUAGES.)--script_dirPATH β Directory name for input script unicharsets. It should point to the location oflangdata(github repo) directory.(type:string default:)--input_unicharsetFILE β Unicharset to complete and use in encoding. It can be a hand-created file with incomplete fields. Its basic and script properties will be set before it is used.(type:string default:)--lang_is_rtlBOOL βTrueif language being processed is written right-to-left (eg Arabic/Hebrew).(type:bool default:false)--pass_through_recoderBOOL β If true, the recoder is a simple pass-through of the unicharset. Otherwise, potentially a compression of it by encoding Hangul in Jamos, decomposing multi-unicode symbols into sequences of unicodes, and encoding Han using the data in theradical_table_data, which must be the content of the file:langdata/radical-stroke.txt.(type:bool default:false)--version_strSTRING β An arbitrary version label to add totraineddatafile.(type:string default:)--wordsFILE β (Optional) File listing words to use for the system dictionary.(type:string default:)--numbersFILE β (Optional) File listing number patterns.(type:string default:)--puncsFILE β (Optional) File listing punctuation patterns. Thewords/puncs/numberslists may be all empty. If any are non-empty thenpuncsmust be non-empty.(type:string default:)--output_dirPATH β Root directory for output files. Output files will be written to<output_dir>/<lang>/<lang>.*.(type:string default:)
π¦ HISTORY π¦
combine_lang_model(1) was first made available for tesseract4.00.00alpha. history icon behavior π
π RESOURCES π
- Main web site:
https://github.com/tesseract-ocr - Information on training tesseract LSTM:
https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html
β SEE ALSO β
π COPYING π
Copyright (C) 2012 Google, Inc. Licensed under the Apache License, Version 2.0
π AUTHOR π
The Tesseract OCR engine was written by Ray Smith and his research groups at Hewlett Packard (1985-1995) and Google (2006-2018).
that's the whole page, bestie β COMBINE_LANG_MODEL(1) Β· 2026-09-28, signing off! π«Άβ¨
π¦ where this page comes from
- opensuse-leap 16.0: tesseract-ocr 5.5.3-bp160.2.1 Β· Apache-2.0 AND GPL-2.0-or-later
- opensuse-leap 16.0: tesseract-ocr 5.5.3-bp160.2.1 Β· Apache-2.0 AND GPL-2.0-or-later
- opensuse-leap 16.0: tesseract-ocr 5.5.3-bp160.2.1 Β· Apache-2.0 AND GPL-2.0-or-later
- opensuse-leap 16.0: tesseract-ocr 5.5.3-bp160.2.1 Β· Apache-2.0 AND GPL-2.0-or-later
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms