| Thanks for sharing — Marker is a great tool, especially for human-readable formatting! In contrast, this project focuses less on preserving the visual layout for human readers, and more on extracting structured semantic data for machine learning training. So instead of optimizing for clean Markdown or HTML, it extracts context-aware elements like: • table data as JSON, • math expressions in LaTeX, • diagrams with image descriptions, • multilingual text segments, • and semantic roles (e.g. “question”, “explanation”, etc.) In short:
Marker is great for reading,
This is built for feeding into ML pipelines — especially for tasks like question-answering, diagram reasoning, or multimodal pretraining. |