mftnakrsu/Comparison-of-OCR

Comparison-of-OCR (KerasOCR, PyTesseract,EasyOCR)

35
/ 100
Emerging

This helps you convert text from images, scanned documents, or PDFs into editable, searchable text. It takes an image file (like a photo or PDF) and outputs the recognized text, allowing you to easily copy, edit, or search the content. Anyone who needs to extract text from non-editable documents, such as an archivist, data entry clerk, or researcher, would use this.

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Use this if you need to compare different optical character recognition (OCR) tools to find the best one for extracting text from various types of images or documents.

Not ideal if you need a high-speed solution for very complex, unorganized text on a CPU, or if you already know which OCR tool you want to use without comparison.

document-digitization data-extraction content-conversion archive-management text-recognition
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 11 / 25

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63

Forks

6

Language

Python

License

MIT

Last pushed

May 01, 2022

Commits (30d)

0

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