Make cutting-edge OCR your powerful assistant for work and life

OakenOCR is an offline OCR inference tool built for practical, low-friction deployment.

  • Its core logic is written in C++, and model inference is powered by ONNX Runtime.
  • There is no complex pipeline or runtime setup required: models can be loaded and executed directly, and OakenOCR runs reliably on low-spec hardware, including GPU-free environments.
  • It integrates multiple mainstream OCR engines so you can switch quickly and compare recognition results in one interface.

Key Features

Explore the core capabilities that make OakenOCR useful for everyday work.

Multiple high-performance OCR engines

OakenOCR integrates OpenOCR and PaddleOCR so the same image can be processed and cross-checked by multiple engines, improving result reliability.

Easy deployment with no framework dependencies

Built in C++ on ONNX Runtime, OakenOCR runs model inference without Python or other heavy AI-framework dependencies, allowing simple deployment and fast inference even on low-spec hardware.

Flexible input and multi-view results

Supports two input modes: single-image and folder input. Analysis results are presented in three views—Visual View, Text View, and Table View—making result analysis easier.

Download OakenOCR

Release Version v3.2.1

Posted on 2023.10
  • To be continued.

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  • OS: Requires 64-bit Windows 10 or later.