Evernote how long ocr

I'd like to use the true OCR function so I can photograph my bookshelves, one by one, so as to create a searchable database of all of my books over magic books. So far, no good news from Evernote. Have a look at Goodreads. It has a built-in bar code scanner and knows most of the book in the world, so that you can create an extensive, searchable database of your precious books. I recently changed from OneNote to Evernote and sadly I'm encountering the same problem.

I'm thinking of switching back to OneNote as it seems they will never address this request. With how popular and prevalent bullet journaling is, it seems insane to not want to capitalize on being the bridge between digital journaling and that. I too feel that being able to extract text from a picture is a necessary feature.

I often take pictures of notes that I've made. They are unfinished and are in need of further editing and refinement. I took the photograph so I could finish them, but once they are in EN I have to retype them to be able to finish editing them. Hence the feature request. You posted the request and users can add their votes; however Evernote has not indicated an interest in expanding this feature. In my case, writing on paper, photographing the note and having it recognise the handwritten text is marvellous.

But, without being able to copy and paste the converted text, it doesn't make much sense. Searching is fine, but not enough! I cannot stress enough how important his feature would be. It's so obvious and still missing.

Hi guys, new Evernote user here. I was using Keep before but limiting when you want to keep long notes. I usually take pictures of slideshow when I go to conferences and it is really handy to extract the text from those slides. I could do that with Keep which is supposed to be a less evolved and complex note keeping app. Yess same as here, I agree with your opinion on the conference and OCR tech in it.

Maybe future OCR will evolve to be voice memo who knows? This would be terrific. All of the workarounds amount to extra work. This thread has been open for about 6 years yet the original post has only about 50 votes. If you people want this feature so badly, I think adding votes to the request first post may call attention.

I'm still holding on for the day the feature becomes available. I guess I'll be using workarounds in the meantime. Not available in the new Evernote Is there any update on this, roadmap-wise? There's no indication that Evernote plans to implement this feature Evernote has an OCR process, however it's purpose is to build a search index.

Gaz is right. A little more detail: the OCR process identifies possible matches guesses, really for areas of an image. There can be multiple guesses for a particular sequence of letters, or possibly guesses for overlapping sequences of letters.

So there's really no attempt to make a coherent stream of words out of the text in your image. It's really just a sequence of the guesses, and the pixel locations where that guess came from the pixel locations are how they can do the highlighting. Evernote really needs to address this. I have had to install OneNote on my computer in order to get the text extracting utilities. I paste images in OneNote, then I get the text and paste it into Evernote I'm almost inclined to just import everything BACK into OneNote -- I converted to Evernote Premium over a year ago, but now, I'm wondering if I don't need to go back to be able to get the functionality all in one app???

Why exactly do you need to extract the OCR from an image to paste it back into Evernote? A pasted image will be OCR'd and therefore searchable. No extra software or pasting required I would like this feature, too and would consider upgrading to premium for it. For example, if I scan a business card and later want to call that person. It would be nice to be able to find the business card by the OCR of the name and then click on the phone number without having to ever manually type it out again.

Small time savings but a good feature. There would be many other use cases, I'm sure. Any other ways to solve that use case? The business card example, specifically, is already implemented. Premium members can scan business cards using their iPhone or iPad or Fujitsu ScanSnap Evernote Edition apparently Android is getting this "soon" as of last fall Free users can do up to 5 cards, I believe, to get a sample of the capabilities.

More details here:. One reason I suspect extracting text from images in general hasn't been implemented is that the method that Evernote uses for OCR's images, including images of hand writing, involves creating a tree of potential matches for a given character or word.

That is, each character or word that the processor identifies gets a list of fuzzy, potential matches. If you "extracted" this, it wouldn't be terribly readable. Maybe with a VERY good scan of very clear, typed text, the list of matches for each word could be relatively small If you know it is a business card, and you see a word that could likely be "phone" or "p" or "t" followed by a series of digits, it can be reasonably assumed to actually be the word PHONE followed by a phone number.

But for generic images of text, there's no way to know what partial match makes sense and which partial matches are nonsense. Even for much more sophisticated methods of text identification, such as Adobe's Clear Text available in Acrobat for analyzing PDFs, only VERY high quality scans of very clear text will produce usable that is, not perfect , but not terrible results.

Rarely are the "high quality, very clear" criteria met when using a cellphone camera on an image in a random room, such as is likely the case for the majority of text images being put into Evernote.

As such, the extracted text would probably look like nonsense. That being said, of course were it not technically very difficult, this would be an amazing feature.

I don't know that anyone has really got this right often enough to make it worthwhile. Because I use Evernote as a notebook for all my Master's and soon to be Doctoral level research. If I get a screen grab of text, and I need to use it elsewhere, I want to be able to extract the text. Essentially, I've got to use your competitor's product daily, just to get my work done. More than once, It's made me want to switch to OneNote. And I would too, if I could find a way to convert my notes over, without losing most of the formatting.

There are some free tools which do an 'okay' job Still, I'd loose too much if I switched now. So, if there's truly "no way to tell" how come Microsoft does it so well? Funny, I was having this issue again today, and I searched thinking, "there's got to be a way to do this. It would be nice if Evernote did offer this powerhouse feature There are many lightweight apps that can do things Evernote can't do. Basically every outliner, for instance.

OneNote cannot do a bunch of things Evernote can do. That's the beauty of multiple apps Other are looking for yet other features in Evernote to do away with a couple of their apps that are loitering. Looks like Evernote can't please everyone. In a couple of years it might be par for the course for all note-taking apps to follow-suite and plug in these "holes". As I am the one who started it let me say it this way. I am very close to move away from Evernote.

The great advantage of it is still the better web integration but Microsoft is actively working on this and their web clipper is getting quite good now. With their multi platform approach since last year they're also showing they're willing to bring feature parity across all platforms.

What does that mean for Evernote? They need to figure out how to be better than OneNote and it seems there hasn't been a lot happening lately. OneNote, for me anyway, is close to eating their lunch. True OCR would be nice, or a must have, for copying code from Kindle programming books. I tried to get a print screen of the code and paste it into Evernote hoping that Evernote would OCR it. I did not know that OneNote would do this. I would hate to have to install Microsoft Office on my Mac, but I think this use case is important enough for me to make the switch.

You don't need to install Office to get One Note. One Note is available as a standalone application from the Mac App Store. Beeing a OneNote user thinking about switching completely to Evernote this is the one feature that makes me think twice about it.

As other people said, this is a really useful feature, it is working very nicely with OneNote and I don't see any reason and I'm a software developer for the past 20 years for Evernote not to make this possible but to believe this is not really worth it for their customers and not willing to make this topic part of their priority. Evernote might be right and I'm just one single user but I do think Evernote will gain a LOT of OneNote users if they were realizing this is an important feature.

I have a lot of Kindle programming books. As best as I remember, all of them allowed me to copy the code as text, and many, if not all, provided downloads of all code examples. Have you checked the publisher's web site for downloads? Is support being deliberately obtuse, why would you want to extract text from an image? Kinda self evident Who cares if it's searchable? If you can't copy and paste, it's of little utility.

Where is Evernote Support here? While Evernote Staff do participate in some threads, there are no staff in this one. Other than Gazumped asking for the OP for why this is important, the general consensus in this thread seems to be that extracting text is a useful feature that isn't available and like will never be available in Evernote. There are alternatives for extracting text from images.

While it would be more useful if we could copy the OCR'd text from the image, I still find the ability to search for text in images quite useful. Sounds like the feature was publicised by sales but too computationally expensive for development to implement. As it only works in such marginal cases, perhaps it would be better left off the product feature list.

I copied this comic strip, and tried syncing a few times I did notice that my attachments are. Yup - that's the answer. I really should have figured that out earlier, duh. Importing one of these to an EN note means it's still a large file - 3. And that scans in under a minute. Conclusions : - it works really well - under a minute even for non-Premium - check the file size, dummy.

Many thanks to frank. Posted January 29, IncrediMetaBeta 22 Posted January 30, Posted January 30, Another lovely Shaggy Dog story. Just, how long? Not that it depends on the length. Of course it does.

So, how long? Just the facts, Ma'am. DTLow 5, Posted January 30, No set answer. If everthing is up and running, it depends on queued entries, I just tested with a pdf and image on my Mac and Premium account It took minutes.

I have never noticed a delay. If it took hours, I'd open a support ticket. Create an account or sign in to comment You need to be a member in order to leave a comment Create an account Sign up for a new account in our community. Register a new account. It would save me time in writing call reports if I could cut and paste my handwriting into text.

Is there a way to do this? I think that you'll find that the OCR doesn't produce an actual text representation of the image its scanned, but instead is used to make a search index for the words it thinks it's recognized, such that they can be tied to locations in the image.

If you're interested in all of that, you can try spelunking in an exported note, inside the tag "recognition". You can't do this with image files, because Evernote takes multiple guesses about what each handwritten word is.

Its a technology to allow the words to come up in a search, not to definitively know what each word is. So the servers are now working through the backlog. We have published two articles to the Evernote Tech Blog that outline the recognition architecture and processes in greater detail:. A look at the prominent role emerging voice technologies will play in the future of Evernote, both for inputting information as well as retrieving it.

For a PDF to be eligible for OCR, it must meet certain requirements: It must contain a bitmap image It must not contain selectable text or, at least, a minimal amount In practical terms, this eliminates many PDFs generated by other applications from text-based formats, such as word processors and other authoring applications.

Common questions What kind of text can be recognized? How long does it take for an image to be processed by OCR? How many languages does the Evernote OCR systems support? Asset Upgrade your notes with Evernote Personal. Go Personal.