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garnele007 avatar

garnele007/SwiftOCR

0
View on GitHub↗
4,632 stars·477 forks·Swift·Apache-2.0·12 views

SwiftOCR

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 alphanumeric codes into digital text.

Features

  • Alphanumeric Code Recognition - Extracts short alphanumeric strings from images using neural networks and connected-component labeling.
  • Custom Font Recognition - Identifies text written in non-standard or stylized typography through tailored machine learning models.
  • Custom Model Training - Provides a framework for training custom recognition models using synthetic font samples.
  • Image-to-Text Extraction - Scans images to identify and convert alphanumeric codes into digital text.
  • OCR Model Customizers - Provides tools for adapting and training OCR models for specific fonts and character sets.
  • OCR Language Training - Trains OCR engines to recognize unique fonts and character sets not supported by standard tools.
  • OCR Model Trainings - Enables generation of custom neural networks for new fonts and character sets.
  • Neural Networks - Uses neural networks to classify character images into digital text.
  • Swift OCR Libraries - Provides a native Swift library for extracting text and alphanumeric characters from images.
  • Visual Text Recognizers - Implements a recognition engine that uses trained models to identify characters from visual data.
  • Swift Image Processing - Processes visual data to extract text using native Swift image processing logic.
  • Native Swift Implementations - Implements all image processing and inference logic natively in Swift for high performance.
  • Connected Component Identification - Employs connected-component identification to locate individual character blobs in images.
  • Media Processing - Fast and simple OCR library.

Star history

Star history chart for garnele007/swiftocrStar history chart for garnele007/swiftocr

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does garnele007/swiftocr do?

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.

What are the main features of garnele007/swiftocr?

The main features of garnele007/swiftocr are: Alphanumeric Code Recognition, Custom Font Recognition, Custom Model Training, Image-to-Text Extraction, OCR Model Customizers, OCR Language Training, OCR Model Trainings, Neural Networks.

What are some open-source alternatives to garnele007/swiftocr?

Open-source alternatives to garnele007/swiftocr include: nmac427/swiftocr — SwiftOCR is a Swift library for performing optical character recognition and text extraction from images. It functions… ub-mannheim/tesseract — Tesseract is an optical character recognition engine and tool designed to convert printed or handwritten text from… tingsongyu/pytorch_tutorial — This project is a comprehensive collection of educational examples and reference implementations for building vision… brainjs/brain.js — Brain.js is a JavaScript neural network library for building, training, and running machine learning models in the… cazala/synaptic — Synaptic is a JavaScript neural network library used for building, training, and executing neural networks in Node.js… apache/mxnet — This project is a deep learning framework designed for constructing, training, and deploying neural networks across…

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