OCR Model Comparison | Tesseract OCR, EasyOCR, Keras-OCR, Paddle OCR, MMOCR, OCR-SAM
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- čas přidán 6. 09. 2024
- OCR Model Comparison:
Tesseract OCR, EasyOCR, Keras-OCR, Paddle OCR, MMOCR, OCR-SAM
Purpose of OCR Model:
Text extraction
Document digitization
Data entry automation
Searchability
Accessibility
Translation services
Text analysis
Forms processing
Practical use case of OCR:
Car Number Plate Recognition (ANPR)
Receipt and Invoice Processing
Document Scanning and Archiving
Passport and ID Card Scanning
Handwritten Text Recognition
Medical Records Digitization
Boarding Pass and Ticket Scanning
Text-Based Image Search
Text Translation Apps
Which ocr model is best for your case::
Tesseract
EasyOCR
Keras-OCR
Paddle OCR
MM-OCR
OCR-SAM
I have been looking for something this. Excellent quality. Loved that you also talked about multi-lingual support! Thank you! 🙂
Incredibly high-quality overview! Thank you!
You are most welcome
Could you please provide source code
paddler or mmocr which is most accurate?
could you please provide this colab notebook
Hi could you please help us with our project?
We want to detect all text on screenshot of software. This is a more complex task than we tough, Tesseract and EasyOCR doesn't work.
We did a lot of preprocessing (binarization, denoise, scale*3, grayscale...) and managed to go up to 90% detection on tesseract on most software.
Our software is an AI that answer question based on what it saw on the screen ( It is called onistep ). This is a desktop app. This will be used by all our client on their end so we cannot use the GPU and the answer must take 5 second maximum.
We think that solution like MMocr, keras OCR or paddle OCR could work but we never worked with machine learning based OCR.
Do you think you can work with us on this? Do you think it is doable? Of course it would be paid work.
I also sent you an email with some image preprocessed if you wanna test our image.
Plz check mail