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best ocr library for ios: Vision in iOS: Text detection and Tesseract recognition - Medium



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Mobile Document Capture and Real-Time Recognition SDK - ABBYY
ABBYY Mobile Capture is an SDK which offers automatic data capture within your ... saves development time and delivers best quality results at the same time. ... the loan application process via a mobile app integrating OCR technology.

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Currenlty offline OCR is possible only with Tesseract. You can get source code here ... Also you can perform OCR on multiple language.

Translate fact values for ease of use: The business measures needed for reports may be different from how the data is stored in source systems It s helpful to convert data to a common unit of measure for reporting If a sales transaction records the sale of one case, this may be a case of 24 individual units or perhaps 36 individual units Converting all of the sales to the individual units ensures consistent and meaningful reporting Additionally, many facts work together For example, the number of units sold, price, and dollar amount sold are all useful facts Only two of these need to be stored physically; the third can be calculated on-the- y To make this as fast as possible, it is helpful to store the two facts that are used most often Unravel source system logic: In many instances, the source system has core data stored in a manner to help that system run fast and enable each module to be relatively self-contained This may mean that the pieces that are needed to get a complete picture of a sales transaction may be stored in several places or tables To make things more challenging, there may be no direct links between these tables, although there may be a series of translation and lookup tables that are needed to get to the bottom of things This may be why the data is so hard for you to use in the source system The details are all there, but you need to understand the secret handshakes in order to get to the real numbers The ETL system can apply this logic to provide the real sale numbers to be loaded into a fact table This is done once and then everyone can access these facts without having to learn all of these details Perform complex calculations: Many calculations can be done when creating a report or accessing data in an ad hoc manner However, some calculations may be too complex and long-running to perform on-the- y The ETL system can perform these calculations and store the results as facts, which can then be directly accessed for reporting Figure 10-2 shows a general data ow diagram to build the sales fact table just described In addition to the functions described here, a great deal of work is also required to address anomalies and challenges in the data Often these challenges surface when the ETL system is being developed No matter how carefully the data is pro led in advance or how much detail is included in the design, new and unexpected things will show up in the data The goal is to design the ETL system to be able to gracefully identify and address the unexpected.



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Customize or integrate our OCR scanning app with your existing application by opting for our Mobile OCR SDK (Android and iOS) Acquire the licence key now!

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Building an iOS camera calculator with Core ML's Vision and ...
16 Jul 2018 ... Using Core ML's Vision in iOS and Tesseract , learn how to build iOS apps ... like solutions that work well with Swift, so I tried SwiftOCR first.

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Swift Objective-C More. let resultText = result.text for block in result.blocks { let blockText = block.text let blockConfidence = block.confidence let blockLanguages ...

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build problems with SwiftOCR - Stack Overflow
You are trying to build and run the documentation. Next to the stop (square) button, click "Documentation" and switch it to your app.

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Fast and simple OCR library written in Swift. Contribute to ... (e.g. DI4C9CM). We currently support iOS and OS X. ... This is a really good question. If you want to ...

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Jun 12, 2016 · “No such module YourModuleName”. first of all you must check if the dependency is correctly added in you Xcode project . if it is then try ...

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The problem with the data model in Figure 126 is that it is terribly redundant: each row contains not only each followed user s id, but all their other information as well all of which is already in the users table Even worse, to model user followers we would need a separate followers table Finally, this data model is a maintainability nightmare, since each time a user changed (say) his name, we would need to update not just the user s record in the users table but also every row containing that user in both the following and followers tables The problem here is that we are missing an underlying abstraction One way to find the proper abstraction is to consider how we might implement following in a web application Recall from Section 633 that the REST architecture involves resources that are created and destroyed This leads us to ask two questions: When a user follows another user, what is being created When a user unfollows another user, what is being destroyed Upon reflection, we see that in these cases the application should either create or destroy a relationship (or connection3 ) between two users A user then has_many :relationships, and has many following (or followers) through those relationships Indeed, Figure 126 already contains most of the implementation: since each followed user is uniquely identified by followed_id, we could convert following to a relationships table, omit the user details, and use followed_id to retrieve the followed user from the users table Moreover, by considering reverse relationships, we could use the follower_id column to extract an array of user s followers To make a following array of users, it would be possible to pull out an array of followed_id attributes and then find the user for each one As you might expect, though, Rails has a way to make this procedure more convenient the relevant technique is known as has_many :through4 As we will see in Section 1214, Rails allows us to say that a user is following many users through the relationships table, using the succinct code.

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May 2, 2019 · Text Scanner. Text Scanner is an OCR app that supports more than 50 languages. Scanner for Me + OCR. Scanner for Me supports and reads both printed and handwritten text which is great for students especially. Scanbot. Microsoft Office Lens. Adobe Scan. Scanner Pro. CamScanner. Scan to PDF.

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Building an iOS camera calculator with Core ML's Vision and ...
16 Jul 2018 ... Using Core ML's Vision in iOS and Tesseract , learn how to build iOS apps ... I personally like solutions that work well with Swift, so I tried SwiftOCR first. ... You can set to tesseractOnly or cubeOnly to compromise for speed.












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