Technology
OCRopus
A modular document analysis system using Python and LSTM networks for high-accuracy optical character recognition.
OCRopus delivers a suite of document analysis tools designed for high-performance text recognition and layout analysis. Originally developed by Thomas Breuel (Google/DFKI), the framework utilizes Long Short-Term Memory (LSTM) networks to process complex scripts and historical fonts. The system operates through a modular pipeline: binarization, page segmentation, and line recognition. This structure enables precise control over each stage (using tools like ocropus-nlbin or ocropus-rrecognize) and supports custom training for specialized datasets.
What builders pair with OCRopus
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: ABBYY FineReader
From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows
Pairing: Amazon Textract
From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows
Pairing: Cloud Vision API
From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows
Pairing: EasyOCR
From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows
Pairing: Microsoft Azure Computer Vision
From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows
Pairing: Tesseract
From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows
Recent Talks & Demos
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