feat: Introduce automatic language detection in TesseractOcrCliModel (#800)
* feat: Introduce automatic language detection in tesseract_ocr_cli model. Extend unit tests. Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com> * docs: Add example how to use "auto" language with tesseract OCR engines Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com> * fix: Refactor the TesseractOcrModel and TesseractOcrCliModel to validate if the auto-detected language is installed in the system and if not fall back to a default option without language. Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com> --------- Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>
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@ -4,7 +4,7 @@ import logging
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import os
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import tempfile
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from subprocess import DEVNULL, PIPE, Popen
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from typing import Iterable, Optional, Tuple
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from typing import Iterable, List, Optional, Tuple
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import pandas as pd
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from docling_core.types.doc import BoundingBox, CoordOrigin
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@ -14,6 +14,7 @@ from docling.datamodel.document import ConversionResult
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from docling.datamodel.pipeline_options import TesseractCliOcrOptions
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from docling.datamodel.settings import settings
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from docling.models.base_ocr_model import BaseOcrModel
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from docling.utils.ocr_utils import map_tesseract_script
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from docling.utils.profiling import TimeRecorder
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_log = logging.getLogger(__name__)
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@ -28,10 +29,13 @@ class TesseractOcrCliModel(BaseOcrModel):
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self._name: Optional[str] = None
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self._version: Optional[str] = None
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self._tesseract_languages: Optional[List[str]] = None
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self._script_prefix: Optional[str] = None
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if self.enabled:
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try:
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self._get_name_and_version()
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self._set_languages_and_prefix()
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except Exception as exc:
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raise RuntimeError(
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@ -73,12 +77,20 @@ class TesseractOcrCliModel(BaseOcrModel):
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return name, version
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def _run_tesseract(self, ifilename: str):
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r"""
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Run tesseract CLI
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"""
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cmd = [self.options.tesseract_cmd]
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if self.options.lang is not None and len(self.options.lang) > 0:
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if "auto" in self.options.lang:
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lang = self._detect_language(ifilename)
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if lang is not None:
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cmd.append("-l")
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cmd.append(lang)
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elif self.options.lang is not None and len(self.options.lang) > 0:
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cmd.append("-l")
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cmd.append("+".join(self.options.lang))
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if self.options.path is not None:
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cmd.append("--tessdata-dir")
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cmd.append(self.options.path)
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@ -106,6 +118,63 @@ class TesseractOcrCliModel(BaseOcrModel):
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return df_filtered
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def _detect_language(self, ifilename: str):
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r"""
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Run tesseract in PSM 0 mode to detect the language
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"""
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assert self._tesseract_languages is not None
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cmd = [self.options.tesseract_cmd]
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cmd.extend(["--psm", "0", "-l", "osd", ifilename, "stdout"])
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_log.info("command: {}".format(" ".join(cmd)))
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proc = Popen(cmd, stdout=PIPE, stderr=DEVNULL)
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output, _ = proc.communicate()
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decoded_data = output.decode("utf-8")
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df = pd.read_csv(
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io.StringIO(decoded_data), sep=":", header=None, names=["key", "value"]
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)
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scripts = df.loc[df["key"] == "Script"].value.tolist()
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if len(scripts) == 0:
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_log.warning("Tesseract cannot detect the script of the page")
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return None
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script = map_tesseract_script(scripts[0].strip())
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lang = f"{self._script_prefix}{script}"
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# Check if the detected language has been installed
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if lang not in self._tesseract_languages:
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msg = f"Tesseract detected the script '{script}' and language '{lang}'."
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msg += " However this language is not installed in your system and will be ignored."
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_log.warning(msg)
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return None
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_log.debug(
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f"Using tesseract model for the detected script '{script}' and language '{lang}'"
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)
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return lang
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def _set_languages_and_prefix(self):
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r"""
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Read and set the languages installed in tesseract and decide the script prefix
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"""
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# Get all languages
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cmd = [self.options.tesseract_cmd]
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cmd.append("--list-langs")
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_log.info("command: {}".format(" ".join(cmd)))
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proc = Popen(cmd, stdout=PIPE, stderr=DEVNULL)
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output, _ = proc.communicate()
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decoded_data = output.decode("utf-8")
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df = pd.read_csv(io.StringIO(decoded_data), header=None)
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self._tesseract_languages = df[0].tolist()[1:]
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# Decide the script prefix
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if any([l.startswith("script/") for l in self._tesseract_languages]):
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script_prefix = "script/"
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else:
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script_prefix = ""
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self._script_prefix = script_prefix
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def __call__(
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self, conv_res: ConversionResult, page_batch: Iterable[Page]
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) -> Iterable[Page]:
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@ -120,7 +189,6 @@ class TesseractOcrCliModel(BaseOcrModel):
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yield page
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else:
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with TimeRecorder(conv_res, "ocr"):
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ocr_rects = self.get_ocr_rects(page)
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all_ocr_cells = []
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@ -8,6 +8,7 @@ from docling.datamodel.document import ConversionResult
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from docling.datamodel.pipeline_options import TesseractOcrOptions
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from docling.datamodel.settings import settings
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from docling.models.base_ocr_model import BaseOcrModel
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from docling.utils.ocr_utils import map_tesseract_script
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from docling.utils.profiling import TimeRecorder
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_log = logging.getLogger(__name__)
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@ -20,6 +21,7 @@ class TesseractOcrModel(BaseOcrModel):
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self.scale = 3 # multiplier for 72 dpi == 216 dpi.
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self.reader = None
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self.osd_reader = None
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if self.enabled:
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install_errmsg = (
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@ -47,8 +49,8 @@ class TesseractOcrModel(BaseOcrModel):
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except:
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raise ImportError(install_errmsg)
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_, tesserocr_languages = tesserocr.get_languages()
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if not tesserocr_languages:
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_, self._tesserocr_languages = tesserocr.get_languages()
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if not self._tesserocr_languages:
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raise ImportError(missing_langs_errmsg)
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# Initialize the tesseractAPI
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@ -57,7 +59,7 @@ class TesseractOcrModel(BaseOcrModel):
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self.script_readers: dict[str, tesserocr.PyTessBaseAPI] = {}
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if any([l.startswith("script/") for l in tesserocr_languages]):
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if any([l.startswith("script/") for l in self._tesserocr_languages]):
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self.script_prefix = "script/"
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else:
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self.script_prefix = ""
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@ -72,14 +74,14 @@ class TesseractOcrModel(BaseOcrModel):
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tesserocr_kwargs["path"] = self.options.path
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if lang == "auto":
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self.reader = tesserocr.PyTessBaseAPI(
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self.reader = tesserocr.PyTessBaseAPI(**tesserocr_kwargs)
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self.osd_reader = tesserocr.PyTessBaseAPI(
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**{"lang": "osd", "psm": tesserocr.PSM.OSD_ONLY} | tesserocr_kwargs
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)
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else:
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self.reader = tesserocr.PyTessBaseAPI(
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**{"lang": lang} | tesserocr_kwargs,
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)
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self.reader_RIL = tesserocr.RIL
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def __del__(self):
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@ -96,8 +98,6 @@ class TesseractOcrModel(BaseOcrModel):
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yield from page_batch
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return
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import tesserocr
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for page in page_batch:
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assert page._backend is not None
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if not page._backend.is_valid():
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@ -105,6 +105,7 @@ class TesseractOcrModel(BaseOcrModel):
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else:
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with TimeRecorder(conv_res, "ocr"):
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assert self.reader is not None
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assert self._tesserocr_languages is not None
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ocr_rects = self.get_ocr_rects(page)
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@ -117,43 +118,42 @@ class TesseractOcrModel(BaseOcrModel):
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scale=self.scale, cropbox=ocr_rect
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)
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# Retrieve text snippets with their bounding boxes
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self.reader.SetImage(high_res_image)
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local_reader = self.reader
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if "auto" in self.options.lang:
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assert self.osd_reader is not None
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if self.options.lang == ["auto"]:
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osd = self.reader.DetectOrientationScript()
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self.osd_reader.SetImage(high_res_image)
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osd = self.osd_reader.DetectOrientationScript()
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# No text, probably
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if osd is None:
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continue
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script = osd["script_name"]
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script = map_tesseract_script(script)
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lang = f"{self.script_prefix}{script}"
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if script == "Katakana" or script == "Hiragana":
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script = "Japanese"
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elif script == "Han":
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script = "HanS"
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elif script == "Korean":
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script = "Hangul"
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# Check if the detected languge is present in the system
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if lang not in self._tesserocr_languages:
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msg = f"Tesseract detected the script '{script}' and language '{lang}'."
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msg += " However this language is not installed in your system and will be ignored."
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_log.warning(msg)
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else:
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if script not in self.script_readers:
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import tesserocr
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_log.debug(
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f'Using model for the detected script "{script}"'
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)
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if script not in self.script_readers:
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self.script_readers[script] = tesserocr.PyTessBaseAPI(
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path=self.reader.GetDatapath(),
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lang=f"{self.script_prefix}{script}",
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psm=tesserocr.PSM.AUTO,
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init=True,
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oem=tesserocr.OEM.DEFAULT,
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)
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local_reader = self.script_readers[script]
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local_reader.SetImage(high_res_image)
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else:
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local_reader = self.reader
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self.script_readers[script] = (
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tesserocr.PyTessBaseAPI(
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path=self.reader.GetDatapath(),
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lang=lang,
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psm=tesserocr.PSM.AUTO,
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init=True,
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oem=tesserocr.OEM.DEFAULT,
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)
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)
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local_reader = self.script_readers[script]
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local_reader.SetImage(high_res_image)
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boxes = local_reader.GetComponentImages(
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self.reader_RIL.TEXTLINE, True
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)
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9
docling/utils/ocr_utils.py
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9
docling/utils/ocr_utils.py
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def map_tesseract_script(script: str) -> str:
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r""" """
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if script == "Katakana" or script == "Hiragana":
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script = "Japanese"
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elif script == "Han":
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script = "HanS"
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elif script == "Korean":
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script = "Hangul"
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return script
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37
docs/examples/tesseract_lang_detection.py
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37
docs/examples/tesseract_lang_detection.py
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from pathlib import Path
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from docling.datamodel.base_models import InputFormat
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from docling.datamodel.pipeline_options import (
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PdfPipelineOptions,
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TesseractCliOcrOptions,
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TesseractOcrOptions,
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)
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from docling.document_converter import DocumentConverter, PdfFormatOption
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def main():
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input_doc = Path("./tests/data/2206.01062.pdf")
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# Set lang=["auto"] with a tesseract OCR engine: TesseractOcrOptions, TesseractCliOcrOptions
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# ocr_options = TesseractOcrOptions(lang=["auto"])
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ocr_options = TesseractCliOcrOptions(lang=["auto"])
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pipeline_options = PdfPipelineOptions(
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do_ocr=True, force_full_page_ocr=True, ocr_options=ocr_options
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)
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converter = DocumentConverter(
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format_options={
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InputFormat.PDF: PdfFormatOption(
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pipeline_options=pipeline_options,
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)
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}
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)
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doc = converter.convert(input_doc).document
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md = doc.export_to_markdown()
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print(md)
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if __name__ == "__main__":
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main()
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@ -75,6 +75,7 @@ nav:
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- "Table export": examples/export_tables.py
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- "Multimodal export": examples/export_multimodal.py
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- "Force full page OCR": examples/full_page_ocr.py
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- "Automatic OCR language detection with tesseract": examples/tesseract_lang_detection.py
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- "Accelerator options": examples/run_with_accelerator.py
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- "Simple translation": examples/translate.py
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- ✂️ Chunking:
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@ -62,6 +62,7 @@ def test_e2e_conversions():
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TesseractOcrOptions(force_full_page_ocr=True),
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TesseractOcrOptions(force_full_page_ocr=True, lang=["auto"]),
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TesseractCliOcrOptions(force_full_page_ocr=True),
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TesseractCliOcrOptions(force_full_page_ocr=True, lang=["auto"]),
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RapidOcrOptions(force_full_page_ocr=True),
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]
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