kmrambo / Python-docx-Reading-paragraphs-tables-and-images-in-document-order-Links
The Python docx package cannot read paragraphs, tables and images in document order. It can only render all the paragraphs at once or all tables at once or all images at once. Here, I provide a way in which paragraphs, tables and images present in a docx file can be read in document order into a dataframe in python.
☆85Updated last year
Alternatives and similar repositories for Python-docx-Reading-paragraphs-tables-and-images-in-document-order-
Users that are interested in Python-docx-Reading-paragraphs-tables-and-images-in-document-order- are comparing it to the libraries listed below
Sorting:
- Create and modify Word documents with Python☆149Updated last year
- Extract docx headers, footers, (formatted) text, footnotes, endnotes, properties, and images.☆201Updated this week
- Adobe PDFServices python SDK Samples☆161Updated 6 months ago
- `pdfstructure` detects, splits and organizes the documents text content into its natural structure as envisioned by the author.☆105Updated last year
- Object Detection Model for Scanned Documents☆94Updated 10 months ago
- ☆40Updated 5 years ago
- Demos, examples and utilities using PyMuPDF☆707Updated 3 weeks ago
- A Faster LayoutReader Model based on LayoutLMv3, Sort OCR bboxes to reading order.☆302Updated 5 months ago
- ☆96Updated 5 years ago
- Parsing pdf tables using YOLOV3☆121Updated 4 years ago
- XFUND: A Multilingual Form Understanding Benchmark☆218Updated 3 years ago
- A High-efficiency Open-source Toolkit for Table-to-Latex Task☆274Updated last month
- conversion doc（pdf/html/doc/docx/ppt/pptx）to markdown☆48Updated last year
- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition☆282Updated 3 years ago
- 360LayoutAnaylsis, a series Document Analysis Models and Datasets deleveped by 360 AI Research Institute☆305Updated last year
- Question Answering dataset generator of Document Visual in English and Chinese☆24Updated 2 years ago
- Instruct LLMs for flat and nested NER. Fine-tuning Llama and Mistral models for instruction named entity recognition. (Instruction NER)☆88Updated last year
- ReadingBank: A Benchmark Dataset for Reading Order Detection☆115Updated last year
- 🌳CED: Catalog Extraction from Documents☆16Updated 2 years ago
- Simplify DOCX files to JSON☆256Updated last year
- Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.☆62Updated last year
- ☆82Updated 3 years ago
- Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset☆28Updated 2 years ago
- ☆34Updated 3 years ago
- Example codebase for fine-tuning layoutLMv3 on DocVQA☆52Updated 3 years ago
- 80x faster and 95% accurate language identification with Fasttext☆164Updated 2 years ago
- 通用版面分析 | 中文文档解析 |Document Layout Analysis | layout paser☆48Updated last year
- A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating…☆224Updated last year
- ☆97Updated 3 years ago
- An unofficial Pytorch implementation of ERNIE-Layout which is originally released through PaddleNLP.☆107Updated 2 years ago