Text in PDF Recognized as Image Instead of Text During Parsing

[kurekj]

When parsing CVs using Docling on Ubuntu with Python 3.11, some portions of the PDF (e.g., containing text) are incorrectly treated as images instead of being recognized as text. This occurs despite enabling OCR and trying different OCR engines and settings.

Environment:
Docling version: 2.10.0
Docling Core version: 2.9.0
Docling IBM Models version: 2.0.7
Docling Parse version: 3.0.0

Operating System: Ubuntu
Python version: 3.11

Relevant Code:
IMAGE_RESOLUTION_SCALE = 10.0

pipeline_options = PdfPipelineOptions()
#pipeline_options = PdfPipelineOptions(backend=DoclingParseV2DocumentBackend)
#pipeline_options = PdfPipelineOptions(backend=DoclingParseV2PageBackend)

pipeline_options.do_ocr = True
#pipeline_options.do_table_structure = True
#pipeline_options.table_structure_options.mode = TableFormerMode.ACCURATE  # use more accurate TableFormer model
#pipeline_options.table_structure_options.do_cell_matching = True
pipeline_options.images_scale = IMAGE_RESOLUTION_SCALE
pipeline_options.generate_page_images = True
pipeline_options.generate_picture_images = True
#pipeline_options.ocr_options.bitmap_area_threshold=0.05

# Any of the OCR options can be used:EasyOcrOptions, TesseractOcrOptions, TesseractCliOcrOptions, OcrMacOptions(Mac only), RapidOcrOptions
#ocr_options = EasyOcrOptions(force_full_page_ocr=True)
# ocr_options = TesseractOcrOptions(force_full_page_ocr=True)
# ocr_options = OcrMacOptions(force_full_page_ocr=True)
#ocr_options = RapidOcrOptions(force_full_page_ocr=True)
#ocr_options = TesseractCliOcrOptions(force_full_page_ocr=True)
#pipeline_options.ocr_options = ocr_options

doc_converter = DocumentConverter(
    format_options={
        InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options)
    }
)