docling-project / docling-project/docling
Support for Vertical Forms in Docling
- Dominant language
- Python
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Description
### Requested Feature
I'd like Docling to parse properly a vertical form in a pdf file. For example in the following code:
```
from docling.document_converter import DocumentConverter
source = "https://drive.usercontent.google.com/download?id=1kdT8UWLNnJ5XGiXoyyNCImWzoLucBNbq&export=download&authuser=0&confirm=t&uuid=b7768e5f-3e28-49d4-bd80-2f5856c398a1&at=APvzH3qJRJ11Y_63usKNHntbOMKO:1736036888144"
converter = DocumentConverter()
result = converter.convert(source)
print(result.document.export_to_markdown())
```
The output is as follows:
```
Name
Last Name
Age
Mario
Bros
30
Occupation Plumber
Address
Marital Status Single
Minecraft 123
```
Which is difficult for a LLM to answer questions about structured data.
Another example:
```
from pathlib import Path
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.pipeline_options import (
EasyOcrOptions,
OcrMacOptions,
PdfPipelineOptions,
RapidOcrOptions,
TesseractCliOcrOptions,
TesseractOcrOptions,
)
from docling.document_converter import DocumentConverter, PdfFormatOption
def main():
input_doc = Path("./NameLastnameAge.pdf")
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = True
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
# 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
converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options,
)
}
)
doc = converter.convert(input_doc).document
md = doc.export_to_markdown()
print(md)
if __name__ == "__main__":
main()
```
The output:
```
| Name | Last Name | Age |
|------------|---------------|----------------|
| Mario | Bros | 30 |
| Occupation | Address | Marital Status |
| Plumber | Minecraft 123 | Single |
```
Which is not exactly the output desired because the pdf content is not a table. I attached the pdf example used.
[NameLastnameAge.pdf](https://github.com/user-attachments/files/18308718/NameLastnameAge.pdf)
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