2 مستودعات
Awesome GitHub RepositoriesOCR Standalone Executables
Self-contained binary files that run OCR without requiring a separate runtime environment.
Distinct from Standalone Executable Generators: Distinct from Standalone Executable Generators: focuses on the resulting OCR binary, not the generation tool.
Explore 2 awesome GitHub repositories matching development tools & productivity · OCR Standalone Executables. Refine with filters or upvote what's useful.
Awesome OCR Standalone Executables GitHub Repositories
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- run-llama/liteparse
run-llama/liteparse
10,782عرض على GitHubA fast, helpful, and open-source document parser
Provides a JavaScript-side OCR engine with a recognize method for text extraction in WASM environments.
Rustdocument-ocrdocument-processingocr - rapidai/rapidocr
RapidAI/RapidOCR
5,968عرض على GitHubRapidOCR is an offline deep-learning OCR engine that detects and recognizes text in images using ONNX Runtime, operating entirely without an internet connection. It provides a unified inference pipeline that runs across multiple platforms including Windows, Linux, macOS, Android, and Raspberry Pi, with programming language bindings for Python, C++, Java, and C#. The engine separates text detection and recognition into independent modules that can be swapped or fine-tuned individually, and abstracts the inference backend behind a unified interface allowing seamless switching between ONNX Runti
Produces a standalone executable of the OCR engine for offline use without Python dependencies.
Pythonchineseocrcrnndbnet
