NMAC427/SwiftOCR

• garnele007/swiftocr

  garnele007/SwiftOCR

  4,632GitHub पर देखें↗

  SwiftOCR is a native Swift library designed for extracting text and alphanumeric characters from images. It functions as a neural network text recognizer that identifies characters and strings from visual data. The library includes a custom OCR model trainer and tools for custom font recognition. These capabilities allow for the generation of specialized neural networks tailored to specific fonts and character sets to improve recognition accuracy. The system utilizes connected-component labeling to identify individual character regions and employs image processing to convert short alphanumer

  Swift

  GitHub पर देखें↗4,632
• clovaai/deep-text-recognition-benchmark

  clovaai/deep-text-recognition-benchmark

  3,938GitHub पर देखें↗

  This project is a PyTorch-based framework and toolkit for scene text recognition. It provides a deep learning pipeline for extracting characters and words from images of natural environments, covering the full process from training data preparation to model validation. The framework functions as a standardized benchmark for measuring the accuracy and inference speed of text recognition models. It includes tools for calculating recognition accuracy and measuring GPU processing time per image to evaluate model performance across consistent datasets. The system incorporates visual and sequentia

  Jupyter Notebook

  GitHub पर देखें↗3,938
• ub-mannheim/tesseract

  UB-Mannheim/tesseract

  4,111GitHub पर देखें↗

  Tesseract is an optical character recognition engine and tool designed to convert printed or handwritten text from images into machine-readable digital text. It functions as a multilingual text extractor and a document digitization pipeline that transforms scanned images into structured digital formats. The project includes a framework for training custom scripts and language-specific models, allowing the engine to recognize new languages or unique fonts through custom training data. Its capabilities cover automated text extraction, digital archive digitization, and the export of recognized

  C++lstmocrocr-d

  GitHub पर देखें↗4,111
• cazala/synaptic

  cazala/synaptic

  6,920GitHub पर देखें↗

  Synaptic is a JavaScript neural network library used for building, training, and executing neural networks in Node.js and the browser. It provides a framework for constructing architecture-free neural network topologies, a backpropagation training engine for weight optimization, and a toolkit for implementing recurrent neural network frameworks. The library enables the design of custom first or second order network architectures without predefined constraints. It supports a variety of specialized models, including Long Short-Term Memory networks, Hopfield networks, Liquid State Machines, and

  JavaScript

  GitHub पर देखें↗6,920

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