DeepDoctection is a document AI framework that applies deep learning techniques to analyze and extract structured data from scanned documents, PDFs, and images. deepdoctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated frameworks for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries.
Features
- Uses deep learning for document layout analysis
- Extracts tables, text, images, and metadata
- Supports OCR for scanned and handwritten documents
- Provides pre-trained models for document structure detection
- Integrates with PDF processing tools
- Scalable for batch document processing
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow deepdoctection
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of deepdoctection!