How accurate is Tesseract?

How accurate is Tesseract?

The following results are presented for Tesseract: the original set of samples achieves a precision of 0.907 and 0.901 recall rate, while the preprocessed set leads to a precision of 0.929 and a recall of 0.928.

Can Tesseract read PDF?

Tesseract is an excellent open-source engine for OCR. But it can’t read PDFs on its own. Convert the PDF into images; Use OCR to extract text from those images.

Does Windows 10 have OCR?

Does Windows 10 have OCR software? Yes, the Windows 10 API has native OCR support so that it can be used by all Windows 10 apps, like the Photo Scan app.

Is Tesseract OCR safe?

Tesseract is now thread-safe (multiple instances can be used in parallel in multiple threads.) with the minor exception that some control parameters are still global and affect all threads.

How do I speed up my Tesseract?

To speed up the process, one should make a list of image paths and feed it to tesseract. Using SSDs or RAM as Disk : If there are large number of images, it can help in saving lot of I/O time. SSDs will have faster access and loading time.

How do I make my Tesseract better?

Three points to improve the readability of the image:

1. Resize the image with variable height and width(multiply 0.5 and 1 and 2 with image height and width).
2. Convert the image to Gray scale format(Black and white).
3. Remove the noise pixels and make more clear(Filter the image).

Is OCR built into Windows 10?

Can Tesseract read Word document?

Tesseract is an optical character recognition (OCR) system. It is used to convert image documents into editable/searchable PDF or Word documents.

Is Google vision better than Tesseract for OCR?

Google Vision, on the other hand, does not provide as much control over its configuration as Tesseract. However, its defaults are very effective in general. There are two distinct OCR models that are worth experimenting with:

Is tesseract supported by Google?

Tesseract is actively developed by a community and it is supported by Google (As of June 2019). Recently neural net based OCR engine mode is made available on Tesseract 4.0 which gives improved accuracy for image documents that have high noise (Not well scanned document).

What is the difference between easyocr and Tesseract?

As per my testing, Tesseract performs better on alphabet recognition, while EasyOCR does a better job on numbers. If your document is alphabet-heavy, you may give Tesseract higher weights. Besides, the outputs from EasyOCR are lowercased.

What are the limitations of using tesseract with banking domain?

For example implementing OCR based solution to banking domain will have restriction. Since Tesseract still have error on determining financial number/currency/kyc information from document, it might have a huge impact for errors in finance domain. Also before feeding input image documents to Tesseract we have to preprocess documents.