Deep learning based Optical Character Recognition library
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2/26/2025 Datasheet Deep learning based Optical Character Recognition library /--/uploads/2025/01/DeepOcr.png)
Main benefitsSpecificationsSoftware
Image processing
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EasyDeepOCR is a new generation OCR library that relies on deep learning technologies to tackle today’s challenges in text reading. The detection of the texts in the image and the recognition of the characters are fully automated. With the help of a text topology, character ambiguities can be reduced and non-relevant text can be filtered out. An optimization process, which only needs a few samples, can speed up the processing. EasyDeepOCR is a major improvement over EasyOCR and EasyOCR2 libraries, combining ease of use and enhanced capabilities.
Complex image processing sequences can be designed using a graphical interface. The collection of tools represents the diversity and the capabilities of the Open eVision libraries.
The C++, Python and C# source code, corresponding to the processing pipeline, is automatically generated and provides an interactive documentation of the Open eVision API.
The New Open eVision Studio can process live image sources such as a GigE Vision camera, a Coaxlink frame grabber or eGrabber recorder sequences.
This application is free of charge, runs on Windows, Linux and is compatible with Intel and ARM 64-bit architectures.
Open eVision is a set of 64-bit libraries that require an Intel compatible processor with the SSE4 instruction set or an ARMv8-A compatible processor.
Open eVision can be used on the following operating systems:
Microsoft Windows 11, 10, 8.1, 7 for x86-64 (64-bit) processor architecture
Linux for x86-64 (64-bit) and ARMv8-A (64-bit) processor architectures with a glibc version greater or equal to 2.18
Remote connections
Remote connections are allowed using remote desktop, TeamViewer or any other similar software.
Virtual machines
Virtual machines are supported. Microsoft Hyper-V, Oracle VirtualBox and libvirt hypervisors have been successfully tested.
Only the Neo Licensing System is compatible with virtualization.
Minimum requirements:
2 GB RAM to run an Open eVision application
8 GB RAM to compile an Open eVision application
Between 100 MB and 2 GB free hard disk space for libraries, depending on selected options.
Supported programming languages :
The Open eVision libraries and tools support C++, Python and the programming languages compatible with the .NET Framework (C#, VB.NET)
C++ requirements: A compiler compatible with the C++ 11 standard is required to use Open eVision
Python requirements: Python 3.11 or later is required to use the Python bindings for Open eVision
.NET requirements: .NET Framework versions 4.8 or later are supported
Supported Integrated Development Environments:
Microsoft Visual Studio 2017 (C++, C#, VB .NET, C++/CLI)
Microsoft Visual Studio 2019 (C++, C#, VB .NET, C++/CLI)
Microsoft Visual Studio 2022 (C++, C#, VB .NET, C++/CLI)
QtCreator 4.15 with Qt 5.12
Monochrome and color images
Minimum text height: 12 pixels
Text line maximum aspect ratio: 20
Number of text lines in image: unlimited
PC4191 Open EasyDeepOCR for USB dongle
PC4341 Open eVision EasyDeepOCR
PC6512 eVision/Open eVision USB Dongle (empty)
PC6513 eVision/Open eVision Parallel Dongle (empty)
PC6514 Neo USB Dongle (empty)