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Document Layout Analysis (YOLOv7)
Document Layout Analysis applies the YOLOv7 object detector to document pages, locating structural elements - titles, paragraphs, tables, figures, and captions - before OCR and extraction. Understanding layout first dramatically improves downstream OCR accuracy and enables structure-aware extraction, making it a key building block of our Document AI stack.
Part of our solutions
Tech Stack
AI/ML
YOLOv7PyTorchOpenCV
Backend
Python
Key Features
Detects titles, paragraphs, tables, figures
Improves downstream OCR accuracy
Structure-aware extraction support
Open source on GitHub
YOLOv7Layout AnalysisDocument AIPyTorch
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