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.
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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

Latest Version v0.1.0

  File: OakenOCR-v0.1.0.zip  |  Size: 225.2 MB
MD5: F432B29D9D7F2729ABF238FB439408CA
v0.1.0
2/3/2026 0
  • First preview release with featured capabilities.
  • Integrates dual OCR engines: OpenOCR and PaddleOCR.
  • Accepts both single-file and directory inputs.
  • Presents results in three formats: text, table, and visualization.
  • Only support CPU inference.
  • Support Windows 10 and later versions of the operation system.