What is Reddit's opinion of
(a9t9) Free OCR Software?
From 3.5 billion Reddit comments
➔ (a9t9) Free OCR Software website
By popularity on Reddit, this Service is:
26 reviews of this app found across Reddit:
Use an online OCR converter like https://ocr.space/ or there's probably apps for that.
OCR:
****** Result for Image/Page 1 ****** File: (525 KB, 1609x711) eo US cyt„ 00 o https://www.dni.goWfiles/documents/lCA 2017 Ol.pdf Anonymous (10: No. 105938555 (Reply) "lose74902 "lose7S32S AHAHAHHHAHAHAHAHAAAhHHAHAHAHHaHAhAHAHAHAHAHAHAHAHAHAHAHAH WOOOO BOY I M LAFFIIN This IS the big reveal of evil Russian hacking? are trolls on Twitter who supported Russian activity in Ukraine who also like Trump. criticized Madam President while the rest of the MSM had their heads lodged up her ass. *ikileaks got their information from Russia. We know this because remember in the 70s and 80s when all those action movies came out and the bad guys were Russian? have 'High Confidence' in this assessment, just like we had high confidence about weapons of mass destruction in Iraq. Also we would never lie to the American people about things like NSA spying, giving black men syphilis, MK Ultra, overthrowing democratically elected govemments around the world, etc. have proof for all this. But you can't see it. Now read this article about how RT is secretly actually Russian. AH AHAhAHHAhHHAHAhAHaHaahAHAHAHA Comment too long. Click here to view the full text.
It would be really fantastic if bots could do what we do!
It really depends on the the original content. There's a bot getting around that automatically transcribes twitter posts (it needs the link to the original tweet to do so.)
Transcribot got the text from this tweet pretty much spot on, apart from line spacing- however OCR bots aren't able to recognize context or provide any kind of formatting like Transcribers do (recognising that it was in fact a tweet, what text is relevant or not [especially in the case of phone screen shots], bolding usernames, redacting personal information on subreddits where required, formatting the layout for text messages etc.)
We also describe non-text images (and sometimes video and audio!) as part of transcribing, too.
If you're interested you can check out https://ocr.space to see how OCR bots work!
Hey, there!
We are currently using OCR Space. There are definitely other OCR systems out there who might have a higher accuracy, like Google's OCR, but they are also much more expensive. We get more than 140k posts in our queue per month and unfortunately we don't have the budget yet to process them with higher quality systems.
Additionally, there are many special cases to consider. We have to transcribe all kind of different social media platforms, handle censored usernames, weird color schemes, emojis, character sets from other languages, preserve the formatting of the original post and translate it to Reddit markdown and describe images that are shared alongside a post which OCR cannot handle at all. On top of that, there are so many images on reddit that are potato-quality, cropped strangely or with things added on top that obscure lettering. In our experience, a bot has a hard time working with that. A human is always going to be needed until AI can describe an image or understand a meme template. Until then we'll need a transcriber to help out, because many people require our services and we can't afford a 20% margin of error.
It is definitely already helpful for long text posts, but I don't think it can be fully automated at this point in time.
However, we appreciate your enthusiasm! If you have a model that you think works, feel free to test it on our queue over at r/TranscribersOfReddit and send us a modmail with the results. You can also contribute to the OCR bot on GitHub.
Title: 'You may bring shame to your family': Australia launches campaign to stop seasonal farm workers absconding Aggressive campaign aimed at Pacific Islanders comes amid claims of 'inhumane conditions' for pickers
Fri 5 Nov 2021 05.00 EDT
The Australian government has launched an aggressive campaign to prevent Pacific Islander farm workers from fleeing their jobs as new figures reveal more than 1,000 seasonal pickers absconded in the past year. The campaign warns pickers they may "bring shame to their families" if they run away from their jobs and they risk having their visa cancelled. "You may not be able to work in Australia again (this may include your family and community members)" , one campaign poster reads. "You may damage the relationship between your country and the employer, and you may bring shame to your family's reputation." It comes as Australia's seasonal worker program is hit with claims it has subjected people to "inhumane conditions", with a class action being built against the government. Each year thousands of migrants from the Pacific Islands are brought to Australia to work on farms picking fruit and vegetables under the program. In the last financial year, 1,181 workers on the program attempted to run away from their employees, which are normally labour hire companies, according to the Department of Education, Skills and Employment (DESE). That is compared to 225 the previous year. Australian farm A DESE spokesperson said the number of people who absconded was not as large as it appeared, as some
[I used https://ocr.space/ to do this, Then copied it into the URL space to remove the lines]
It already widely exists. Google "PDF OCR Searchable". There are hundreds of free options online https://ocr.space/ or you can purchase one of the more reliable paid options.
Nuance(renamed to OmniPage) is a great option. https://www.kofax.com/products/omnipage
Are you okay with paying for APIs? If so fair enough: https://ocr.space/ocrapi or browse https://rapidapi.com/marketplace for a good OCR API. As far as I know the only way to do it within python is with tesseract, which you could look into. Here's a resource on dealing with the PDF part
It already widely exists. Google "PDF OCR Searchable". There are hundreds of free options online https://ocr.space/ or you can purchase one of the more reliable paid options.
Nuance(renamed to OmniPage) is a great option. https://www.kofax.com/products/omnipage
I'd say take a dive in scikit-learn, if the documents have similar sturctures maybe similar documents have similar, unique contents?
Let's say an info form would have a standard code, you could use ocr for the form and check wether the unique word is in the list of recognised words?
https://ocr.space/ is a free OCR API, I haven't tried it though.
The only cost-efficiënt way to do what google vision does is to write it yourself. It will cost you in processing and in time though. Depending the amount of labeled data you want to use.
Is this a work project, a hobby POC or for school?
If each scanned PDF is 10 pages or less, Google Docs will put the OCR text below the image in the converted document.
Might not be what you want, but when you’re looking for free, there’s not a lot of great options that are also simple to do.
Couple steps to it. Upload the PDF to Google Drive. From Google Drive, open in Google Docs. It’ll then do the OCR conversion.
Here’s a tutorial on it.
> hi rust friends. Engineer from Discord here. Now that the press is out (we're launching a game store). I just wanted to thank the rust core team, community and contributors for building such an awesome language. Rust has been a significant technology investment for Discord! For example, all the native code that powers the store is written in rust, Our game SDK is written in rust (with C, C++, C# bindings), and our multiplayer network layer is also in rust! Honestly, it's been nice to write all this stuff while avoiding a huge class of problems that we woulda had in C++.
Transcription made with https://ocr.space
Most things AHK does javascript does better/with more accuracy as far as HITs are concerned.
Not to say AHK doesn't have its place in your mTurk toolkit, but bang for your buck most Turkers are better off learning some simple javascript/jquery and perusing GreasyFork for mTurk scripts.
The video above, for example, can be all but automated using JS and the API provided by the originators of the extension he's using. Read the returned data, plug it into the textboxes, and all the user need do is verify the OCR was accurate. All that copy/pasting/manual uploading can be automated away with JS.
Not to detract from OP's video, always cool to see folks producing helpful content for Turkers, just explaining why most of the time you see discussions revolving around these kind of productivity tool sets AHK isn't as featured as you'd expect is simply because it isn't the most efficient tool out there.
ETA: Point of clarification, I don't endorse/recommend using OCR to complete HITs on mTurk. Just using it as it relates to the OP video.
I just developed something like that and went with an online OCR API for the fastest results - check: https://ocr.space/ocrapi which has some Python example code Github.
You can try yourself building something by googling for OCR API tutorials which are mostly using Tesseract, which there are a few.
OCR is software, not a thing you get exactly. You can google for software to download, and there are also places you could upload your JPG.
https://www.onlineocr.net/
https://ocr.space/
Results will depend on the quality of your JPG though.
I use the OCR of QTranslate (it uses ocr.space online, so it's better but a little slower than Capture2Text).
And I copy that to clipboard, it's just a click. At the same time I have Chrome/Firefox open with a tab with Yomichan monitoring the clipboard. So as soon as I copy the text from the OCR, the definition appears in Yomichan.
Yomichan is an incredible tool that supports several monolingual dictionaries for example. If you need the dictionaries let me know.
If you already have Yomichan set-up, then the rest is really easy. Yomichan is difficult to set-up but is the best dictionary you can get.
Sorry, man! This account is not monitored, and I just now got this. We actually run on on OCR.space, which (as I understand it) is a layer on top of Microsoft Vision Services.
Ping u/itsthejoker with more questions if you have them!
Ah okay, that makes sense :) Once you extract the data from the written text, it should be easy to compile it into a spreadsheet. There's a few good online OCR tools, you could setup a script to automatically run the pdf's through those, might be easier (albeit slower probably) than setting up your own OCR tool.
I really like this one https://ocr.space/, and they even have a free OCR API listed that you can use for your own software, and instructions on how to use it! https://ocr.space/OCRAPI
How did I find which so quickly?
I tried to get the non-Chinese characters from https://shapecatcher.com, but it only really worked for the ⁴, which I could have found easily anyway. For the CJK, I tried about 7 different online OCR services before I found one that actually gave me the correct characters (https://ocr.space).
I Google searched the mangled Spanish phrase and found a forum post from someone who typed out the error message, although there were a few differences it took me a while to work out, like the double space.
Today I tried again from another device. No way to get the API key (the registering's confirmation mail) accessing ocr.space. As for shortcut access how to prove humanity on a blank screen? Don't the other users have this problem? I would like to know if anyone else managed to get the confirmation email yesterday or today.
You can use sites like OCRspace to try to convert the image into text. It's pretty hit or miss. I've been using Capture2Text to manually do it. It's tedious, but you can't really expect this to be easy to begin with.
Might be a bit over the top but the Google Cloud Vision API has OCR
Alternatively there is this OCR API which has 500 free calls a day
Bár nem terveztem, de lett:
- http://81.2.237.10:8000/koronavirus_gov_hu_changes.txt
- http://81.2.237.10:8000/koronavirus_check.py (főoldalt meg halottakat is parsolja)
Kicsit bonyolultabb lett, mint terveztem, de csak így adott látszólag megbízható eredményt, de lehet majd finomítani kell rajta.
Az OCR-hez ingyenes webes api-t használ: https://ocr.space/OCRAPI
Valószínű tesseract-el is meg lehet csinálni localban, de nekem az nem adott értékelhető eredményt default beállítással aztán nem volt kedvem doksit bújni.
I tried a bunch of packages on Ubuntu, none of them worked very even on images in which the text was obvious (in my human-eyes opinion). Finally opted for using a combination of Google Vision and OCRSpace ( https://ocr.space/ ). I don't have to go through as many pages as you do but if time isn't an issue then you can use these services in a throttled manner and hopefully not pay much.
Now just used OCRto get the raw code :
5b 2d 4b 2f s0 48 5d 29 2f 69 62 6d 4d 32 29 40 36 22 32 29 2d 5e 3d 31 63 5b 3c 4e 31 46 74 2b 33 2f 69 58 0a 5b 48 31 62 5e 6e 6e 2f 4d 5d 37 3b 31 63 52 33 4a 32 44 51 67 2b 30 66 3a 61 3e 3e 4a 6b 4c 4a 31 47 54 3a 45 38 4b 5e 44 73 3a 2b 27 21 68 3a 2e 37 54 3e Ba 2b 42 5f ab 3f zb 42 32 2c 5a 3c 29 51 22 5f 37 38 2c 3c 48 38 4b 5e 62 73 37 37 38 38 24 3a ab 38 4e 3a 3a 0a 45 57 56 2d 33 5e 56 6f 32 24 3b 21 75 68 3c 45 28 28 61 2b 5d 28 49 27 3b 63 63 61 6d 36 6d 2c 48 29 2b 41 35 49 2a 3d 26 27 6c 33 38 5e 56 6f 32
Free, works fast, download OCR'd text file. I did 36 pages for my wife and it worked beautifully. Mine were 36 single pages so I couldn't say anything about larger files. It's free, give it a shot.
Tesseract is pretty bad for this day and age even if you could get it working across both.
Free! It uses MS OCR underneath which is actually very very good. Unless GCV has caught up in the last year it's better than GCV.
Here is a tool to compare the recognition quality of Google Cloud Vision OCR vs Microsoft Azure Vision API OCR at once:
https://ocr.space/compare-ocr-software
Upload your image, select the OCR engine to test and then check the recognition quality with the overlay feature.