I hope not. Tesseract delivers bad results on high quality scans, far below the same OCR quality achieved by services like Google Books.
What the OCR market needs is someone who will bring that level of OCR quality - or better - to the masses (perhaps some deep learning grad student with time to kill?), not yet another wrapper around Tesseract. We have those already!
I have not. It sounds interesting but raw and unsuitable for end-users. I hope the quality improves and they can get it packaged up in a way that existing document scanners can plug into easily.
Is the problem really Tesseract or the fact that it doesn't have a robust front-end performing segmentation, de-skewing, better binarization, etc? I've heard that Google Books is actually using the Tesseract engine but has seen better results in part from better training but mostly from a more advanced system breaking each page into the blocks of text which are actually OCRed.
I would use this service, if I had scanned PDFs where I didn't care about confidentiality. As it stands, though, uploading them to an unknown web resource seems risky.
Also relevant, how do we know they're not injecting a pdf exploit into the final document? There is no real company information to hold anyone accountable. There could be a dozen websites like this for people to use for "free" that will inject malicious script which most antivirus apps won't detect. Not saying it's not useful, and awesome if legit but there should be more accountability. This is almost the internet equivalent of a stranger in a car waving free candy at a child walking down the street. My workplace was hit yet again today with a Cryptolocker variant (second time this month) which required us to restore thousands of files from backup. All from clicking on a link in an email.
I've had this idea for a while, but as an iPhone app. The case where I could have used it the most was when I would be studying and looking through textbooks for a particular word or phrase. It would be so convenient to just take a picture, input the text to look for, and see a highlight. If this were a mobile app and I were still in college, I would most certainly buy it.
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[ 3.7 ms ] story [ 58.1 ms ] thread[1] https://github.com/tesseract-ocr/tesseract
What the OCR market needs is someone who will bring that level of OCR quality - or better - to the masses (perhaps some deep learning grad student with time to kill?), not yet another wrapper around Tesseract. We have those already!
Here's a nice intro[1] that later talks about how it achieves higher accuracy using an LSTM model[2].
[0] https://github.com/tmbdev/ocropy
[1] http://www.danvk.org/2015/01/09/extracting-text-from-an-imag...
[2] http://www.danvk.org/2015/01/11/training-an-ocropus-ocr-mode...
Thoughts?
What's the privacy model? While the PDFs are deleted, what happens to the searchable content? Is it also deleted?
What's the revenue model? How can we be sure it'll be around in a few months?
Is there an AJAX interface?
Is the quality or performance better than running Tesseract on a server?
Is this better than https://ocr.space ?
For my private documents I would always use offline OCR software like http://blog.a9t9.com/p/free-ocr-software.html
Don't know it the OCR function is available in the reader version.
Either way, super cool idea. My Dad will be stoked about this as he's been OCR'ing his way into oblivion for the past few years.
BTW, how is this news?
It comes down to how many people agree it's interesting by upvoting :)