Project Naptha. Project Naptha automatically applies state- of- the- art computer vision algorithms on every image you see while browsing the web. The result is a seamless and intuitive experience, where you can highlight as well as copy and paste and even edit and translate the text formerly trapped within an image. You can watch as moving your cursor over a block of words changes it into the little I- beam.

You can drag over a few lines and watch as a semitransparent blue box highlights the text, helping you keep track of where you are and what you’re reading. Hit Ctrl+C to copy the text, where you can paste it into a search bar, a Word document, an email or a chat window. Right- click and you can erase the words from an image, edit the words, or even translate it into a different language. Depending on how you look at it, this can be seen as a bug, or a feature. This might be improved in the future, because certain parts of the Naptha stack do lag behind the present state- of- the- art by a few years. But with this extension, it's possible to just select text from a picture, attached to an email, or linked from a class action lawsuit overview. Simply drag the image file over to your browser window.

Note that you might have to go to chrome: //extensions and check the . While it's quite possible that the quality could improve in future versions, with better trained models and algorithms, and the inclusion of human- aided transcription services, you should probably calibrate your expectations fairly low to avoid disappointment. There are charts and diagrams all over the web, and sometimes you'll want to look up one of the chart axes, and it's pretty convenient to be able to do that without needing to type it up again. Maybe there's a circuit diagram and you want to check out where a certain component can be bought— just highlight its label and copy and paste it into the search bar.

• MS Paint, the first app you used for editing images, will probably be killed off in future updates of Windows 10, replaced by the new app Paint 3D. Microsoft lists.
• Follow these steps to open a PDF in a web browser.

I haven't actually read it, but it was on Hacker News so it just happened to be one of the tabs that I currently have open. Time really does go by when you can rationalize procrastination as something . The result is that my test corpus is something on the order of 5. In particular, I'm a fan of Doge, in part because Comic Sans is interpreted remarkably well by the built- in Ocrad text recognizer). Bold Impact font is actually notoriously hard to recognize with general- purpose text recognizers because a lot of what distinguishes letters isn't the overall shape, but rather the subtle rounding of corners (compare D, 0, O) or relatively short protrusions (the stubby little tail for L that differentiates it from an I). So, until I find it or replace it, you'll have to use Tesseract configured with the . On the other hand, copying and saving just the text of something ends up losing the spatial context of its origin.

While clicking on buttons won't submit forms or upload documents, the cursor changes when hovering over different parts, and blocks of text become selectable, just like they were before frozen in carbonite. Right click on it and navigate to the . Select whatever language you want.

This is done by something called . Right click on the selection squig and click . This will probably work better in the future, once there's some actual font detecting logic besides if uppercase and super bold, then Impact font, if uppercase otherwise then XKCD font, and for everything else, Helvetica Neue.

I spent way too long writing the algorithms to merge multiple selection regions when appropriate. Right click on the selection squig and click . After that, select the text on one region that you'd like to edit and click . Complete Marvel Fantastic Four Comics Dvd Part 3 here. After playing with the the little seams that the seam carver tended to generate, I noticed that they tended to converge arrange themselves in a way that cut through the spaces in between letters (dynamic programming approaches are actually fairly common when it comes to letter segmentation, but I didn't know that). It was then, while reading a particularly verbose smbc comic, I thought that it should be possible to come up with something which would read images (with < canvas> ), figure out where lines and letters were, and draw little selection overlays to assuage a pervasive text- selection habit. It projected the image onto the side, forming a vertical pixel histogram.

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The significant valleys of the resulting histograms served as a signature for the ends of text lines. Once horizontal lines were found, it cropped each line, and repeated the histogram process, but vertically this time, in order to determine the letter positions.

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It only worked for strictly horizontal machine printed text, because otherwise the projection histograms would end up too noisy. For one reason or another, I decided that the problem either wasn't worth tackling, or that I wasn't ready to. There's a hackathon that I think I might have signed up for months in advance, marketed as MIT's biggest. I slept late the night before for absolutely no particular reason, and woke up at 7am because I wanted to make sure that my registration went through. I walked into the unfrozen ice rink, where over 1,0. Fair enough, it was pretty loud. I had no idea what I would have ended up doing, and I wasn't able to meet anyone else who was both willing to collaborate and had an idea interesting enough for me to want to.

So I decided to walk back to my dorm and take a nap. I decided to make my way back to the hackathon, because there's free food there or something. Project Naptha operates a very low level, it's actually ideally the kind of functionality that gets built in to browsers and operating systems natively. In order to allow you to highlight and interact with images everywhere, it needs the ability to read images located everywhere. That means that it's pretty much totally functional without access to a remote server.

That does come at a bit of a caveat, which is that online translation running offline is an oxymoron, and lacking access to a cached OCR service running in the cloud means reduced performance and lower transcription accuracy. And I think the default settings strike a delicate balance between having all the functionality made available and respecting user privacy. I've heard complaints on both sides (roughly equal in quantity, actually, which is kind of intriguing)— lots of people want high quality transcription to the default, and others want no server communication whatsoever as the default. The server responds with a list of existing translations and OCR languages that have been done.

This allows you to recognize text from an image with much more accuracy than otherwise possible. However, this can be disabled simply by checking the .

The online OCR service also has per- user metering, and so such requests include a unique identifier token. However, the token is entirely anonymous and is not linked with any personally identifiable information (it handled entirely separately from the lookup requests). It's essentially just the front- end, so it lacks all of the computational heavy lifting that actually makes it cool. All the text metrics and layout analyses were precomputed. Before you raise your pitchforks, there's actually a good reason this demo page runs what amounts to a Weenie Hut Jr.

Safari has some weird behavior when it comes to sending around Image. Data instances, and transferrable typed arrays are slightly different in Firefox and Chrome. Most importantly though, the current stable version (3. Google Chrome, at time of writing actually suffers from a debilitatingly broken Web.

Workers implementation. Rather fortunately, Chrome extensions don't seem to suffer from the same problem. For a technical crowd, the limitation is natural, lying in the fact that images are fundamentally “raster” entities, devoid of the semantic information necessary to indicate which regions should be selectable and what text is contained. It has been used by libraries and law firms to digitize books and documents for at least 3.

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