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Multiple document conversion using Docling and a GUI
Introduction
In a previous post I described how I began to put my hands on Docling and make my very first steps (My first hands-on experience with Docling). In that first step I used ‘Tkinter’ framework to add a GUI so I could choose a file and convert it to divers formats using Docling.
Natively, Docling provided batch conversions through the following command line examples;
# Convert a single file to Markdown (default)docling myfile.pdf# Convert a single file to Markdown and JSON, without OCRdocling myfile.pdf --to json --to md --no-ocr# Convert PDF files in input directory to Markdown (default)docling ./input/dir --from pdf# Convert PDF and Word files in input directory to Markdown and JSONdocling ./input/dir --from pdf --from docx --to md --to json --output ./scratch# Convert all supported files in input directory to Markdown, but abort on first errordocling ./input/dir --output ./scratch --abort-on-error
I wanted to do almost the same thing with a GUI. So this is my 2nd attemps to do my own stuff with Docling for multiple type document conversions.
For sure, I am still using Thinker 🤭
Implementation
I started over my previous code and change the file selection dialog box to multiple files.
# open-file dialogroot = tk.Tk()filenames = tk.filedialog.askopenfilenames( title='Select files (pdf, pptx, docx, md, img)..', filetypes=filetypes,) if filenames: print("Selected files:") for filename in filenames: print(filename)else: print("No files selected.") quit()root.destroy()
So the code becomes the following.
import jsonimport loggingimport timefrom pathlib import Pathfrom docling.backend.pypdfium2_backend import PyPdfiumDocumentBackendfrom docling.datamodel.base_models import InputFormatfrom docling.datamodel.pipeline_options import PdfPipelineOptionsfrom docling.document_converter import DocumentConverter, PdfFormatOptionfrom docling.models.ocr_mac_model import OcrMacOptionsfrom docling.models.tesseract_ocr_cli_model import TesseractCliOcrOptionsfrom docling.models.tesseract_ocr_model import TesseractOcrOptionsfrom docling.backend.pypdfium2_backend import PyPdfiumDocumentBackendfrom docling.datamodel.base_models import InputFormatfrom docling.document_converter import ( DocumentConverter, PdfFormatOption, WordFormatOption,)from docling.pipeline.simple_pipeline import SimplePipelinefrom docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline## GUI for file selection with thinker import tkinter as tkfrom tkinter import filedialog## filetypes for thinker dialog boxfiletypes = ( ('PDF files', '*.PDF'), ('Word file', '*.DOCX'), ('Powerpoint file', '*.PPTX'), ('HTML file', '*.HTML'), ('IMAGE file', '*.PNG'), ('IMAGE file', '*.JPG'), ('IMAGE file', '*.JPEG'), ('IMAGE file', '*.GIF'), ('IMAGE file', '*.BMP'), ('IMAGE file', '*.TIFF'), ('MD file', '*.MD'),)# open-file dialogroot = tk.Tk()filenames = tk.filedialog.askopenfilenames( title='Select files (pdf, pptx, docx, md, img)..', filetypes=filetypes,) if filenames: print("Selected files:") for filename in filenames: print(filename)else: print("No files selected.") quit()root.destroy()_log = logging.getLogger(__name__)def main(): logging.basicConfig(level=logging.INFO)# Docling Parse with EasyOCR# ----------------------pipeline_options = PdfPipelineOptions()pipeline_options.do_ocr = Truepipeline_options.do_table_structure = Truepipeline_options.table_structure_options.do_cell_matching = Truedoc_converter = ( DocumentConverter( # all of the below is optional, has internal defaults. allowed_formats=[ InputFormat.PDF, InputFormat.IMAGE, InputFormat.DOCX, InputFormat.HTML, InputFormat.PPTX, InputFormat.ASCIIDOC, InputFormat.MD, ], # whitelist formats, non-matching files are ignored. format_options={ #InputFormat.PDF: PdfFormatOption( # pipeline_cls=StandardPdfPipeline, backend=PyPdfiumDocumentBackend #), #InputFormat.DOCX: WordFormatOption( # pipeline_cls=SimplePipeline # , backend=MsWordDocumentBackend #), InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options), }, )) for filename in filenames: input_doc_path = filename start_time = time.time() conv_result = doc_converter.convert(input_doc_path) end_time = time.time() - start_time _log.info(f"Document converted in {end_time:.2f} seconds.") ## Export results output_dir = Path("scratch") output_dir.mkdir(parents=True, exist_ok=True) doc_filename = conv_result.input.file.stem # Export Deep Search document JSON format: with (output_dir / f"{doc_filename}.json").open("w", encoding="utf-8") as fp: fp.write(json.dumps(conv_result.document.export_to_dict())) # Export Text format: with (output_dir / f"{doc_filename}.txt").open("w", encoding="utf-8") as fp: fp.write(conv_result.document.export_to_text()) # Export Markdown format: with (output_dir / f"{doc_filename}.md").open("w", encoding="utf-8") as fp: fp.write(conv_result.document.export_to_markdown()) # Export Document Tags format: with (output_dir / f"{doc_filename}.doctags").open("w", encoding="utf-8") as fp: fp.write(conv_result.document.export_to_document_tokens())if __name__ == "__main__": main()
The GUI;
The terminal output;
2024-12-19 13:22:50.682 Python[62628:4807197] +[IMKClient subclass]: chose IMKClient_Modern2024-12-19 13:22:51.214 Python[62628:4807197] The class 'NSOpenPanel' overrides the method identifier. This method is implemented by class 'NSWindow'Selected files:/Users/alainairom/Docling_test/file-selection.png/Users/alainairom/Docling_test/file-selection2.png/Users/alainairom/Docling_test/file-selection3.png/Users/alainairom/Docling_test/mobicheckin_server_event_guest_category_66968af1fc394000725041be_badge_template_66a37cdae369f921e572e4fa_1732039981_NZYRUCY.pdf/Users/alainairom/Docling_test/scratch.png/Users/alainairom/Docling_test/Screenshot at Dec 02 08-11-28.png
And the actual converted docs…
Conclusion
This document describes multiple conversion capacities of Docling using a GUI tool.
I’m going to put some tests on documents’ types etc… but for now it works!
I’m going to do some more in depth experiences… so stay tuned and thanks for reading 🤗
Useful links
- Docling repository:https://github.com/DS4SD/docling
- Docling documentation:https://ds4sd.github.io/docling/
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