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* Update .py examples with clearer guidance, update out of date imports and calls Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com> * Fix minimal.py string error, fix ruff format error Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com> * fix more CI issues Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com> --------- Signed-off-by: Mingxuan Zhao <43148277+mingxzhao@users.noreply.github.com>
57 lines
1.7 KiB
Python
Vendored
57 lines
1.7 KiB
Python
Vendored
# %% [markdown]
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# Detect language automatically with Tesseract OCR and force full-page OCR.
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#
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# What this example does
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# - Configures Tesseract (CLI in this snippet) with `lang=["auto"]`.
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# - Forces full-page OCR and prints the recognized text as Markdown.
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#
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# How to run
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# - From the repo root: `python docs/examples/tesseract_lang_detection.py`.
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# - Ensure Tesseract CLI (or library) is installed and on PATH.
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#
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# Notes
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# - You can switch to `TesseractOcrOptions` instead of `TesseractCliOcrOptions`.
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# - Language packs must be installed; set `TESSDATA_PREFIX` if Tesseract
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# cannot find language data. Using `lang=["auto"]` requires traineddata
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# that supports script/language detection on your system.
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# %%
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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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)
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from docling.document_converter import DocumentConverter, PdfFormatOption
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def main():
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data_folder = Path(__file__).parent / "../../tests/data"
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input_doc_path = data_folder / "pdf/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_path).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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