AI Document Analysis Engine

Intelligent Document Processing & Information Extraction

Project Overview

Multi-format image and text recognition (patent documents), automatic framing replaces manual operations. CNN (GPU) for image recognition, NN (CPU) for text recognition. 96.72% accuracy.

Technical Challenges

Traditional document processing relies on manual operations, with low efficiency and prone to errors, especially for complex layout documents.

Solution

Adopted advanced deep learning models for document layout analysis and OCR recognition, combined with rule engines and post-processing algorithms to achieve high-precision document understanding and information extraction.

Key Highlights

Recognition accuracy rate reaches 96.72%

Supports 50+ document formats

Processing speed improved by 10 times

Multi-language support

Batch processing capability

Technology Stack

Deep Learning: PyTorch, Transformers

OCR: Tesseract, PaddleOCR

Image Processing: OpenCV, PIL

Deployment: Docker, Kubernetes

API: RESTful API, WebSocket