Why IronOCR and not Tesseract

Accuracy

Tesseract

Tesseract unable to handle an image that is rotated, skewed, low DPI, scanned, or has background noise
Requires image pre-processing using Photoshop or ImageMagick
Long processing time before providing nonsensical information

IronOCR

_**_IronOCR pre-processing and image filters take this headache away
Users often achieve 99.8-100% accuracy with minimal configuration

Image Compatibility

Tesseract

_**_Only accepts Leptonica PIX image format which is an IntPtr C++ object in C#
PIX objects are not managed memory -- failure to handle them with care in C# results in memory leaks

IronOCR

Images memory managed
PDF & Broad image support:
MultiFrame TIFF
JPEG & JPEG2000
GIF
PNG
System.Drawing Bitmaps, Stream, and Byte Array/Binary image Data (byte[]) are included for every file format
IronSoftware.System.Drawing soon to replace System.Drawing reliance (allows universal Bitmap format)

Performance

Tesseract

Poorly documented settings must be fine-tuned to provide accurate
Dependent on clean documents/pre-processed images

IronOCR

Zero configuration works accurately and at speed for most images
Multithreading makes full use of multi-core processors
Even low-resolution images generally work with a high degree of accuracy
No Photoshop required

API

Tesseract

Little to no support, not beginner friendly:

Work with Interop layers -- many found on GitHub are out of date with unresolved tickets, memory leaks, and console warnings
-- May not support .NET Core or Standard
Work with the command line EXE -- difficult to deploy and constantly interrupted by virus scanners and security policies

IronOCR

A managed and tested .NET Library for Tesseract called IronTesseract
Fully documented with IntelliSense support
Team of support engineers ready to assist

Languages

Tesseract

Only 100 languages

IronOCR

Over 127 built-in languages + custom language pack support

Conclusion

Tesseract is an excellent resource for C++ developers, but it is not a complete OCR library for .NET. Scanned or photographed images must be pre-processed so as to be orthogonal, standardized, high-resolution, and free of digital noise before Tesseract can accurately work with them.

In contrast, IronOCR can do this and more, with just a single line of code. IronOCR uses a very finely-tuned Tesseract for its internal OCR engine, built for C#, with a lot of performance improvements and features added as standard.