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

Project Samples

Project Activity

See All Activity >

License

Apache License V2.0

Follow deepdoctection

deepdoctection Web Site

Other Useful Business Software
99.99% Uptime for MySQL and PostgreSQL Databases Icon
99.99% Uptime for MySQL and PostgreSQL Databases

Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of deepdoctection!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-21