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A multi-national start-up company, located in Berlin and Madrid that offers a mobile application for completing tax returns
Personal finance, mobile application
iOS and Android
Taxfix wants to offer its users an intuitive digital tool to process tax returns efficiently. This goal requires the digital transmission of documents of high quality. Finding scanning functions that create flawless results is essential here.
Submitting photos of the required documents does not provide the necessary quality to perform text recognition in the back-end successfully. To enable error-free processing by OCR programs, Taxfix needs a first-class document scanning solution integrated directly into their mobile app.
With the Scanbot SDK, the Taxfix team was able to integrate reliable scanning capabilities into their mobile app, thereby speeding up back-end processing, reducing costs, and improving usability.
German Start-Up App "Taxfix" aims to offer their users a convenient and straightforward way to get their tax returns done within a few minutes, giving them an easy to understand tool which helps them get back the amount of money they are entitled to receive. This digital approach requires flawless technical assistance through a custom UI and auto-cropping.
To support companies such as "Taxfix" to reach their goals, Scanbot offers an easy to implement Scanner SDK with various functionalities that can be adjusted to a company's specific needs. In this particular case, high-quality scans through excellent document detection, guiding the user to the perfect scanning position were absolutely necessary to replace the previously used expensive and inefficient Deep Learning Model.
With the smooth implementation of the Scanbot Scanner SDK, "Taxfix" was able to save a lot of time regarding app-development and to create an enhanced user experience. Processing documents on the user's device simplified complex backend structures and therefore lowered the costs significantly.
According to Elster, the number of German tax reports that have been submitted online is constantly increasing. In 2017, 22.1 Million documents were submitted electronically, in 2019 the number rose to 23.8. Since interest in handling tax reports online grew, various applications dealing with this matter have been released.
Increasing the usability of a mobile application is an essential factor when adjusting digital workflows. The majority of users prefer an app with easy-to-use functions and a smooth workflow that does not cause any trouble. Today, customers don't want to spend their free time on complicated processes within mobile apps, and they demand efficient digital solutions that fulfill their needs within a few minutes.
Users are supposed to upload a photo of the regarding document
The application provides information on how to take the photo properly
After analyzing the picture, the app gives either positive feedback or tells the user that the image was “not processable” without further guidance on improving image quality
Once the photo has successfully been uploaded, page detection and a Deep Learning cropping algorithm cut out the actual document, removing unnecessary information from the background
OCR is performed on the document to extract the needed information from the uploaded photo
This process was prone to mistakes since pictures were often either too blurry or contained different background documents, interfering with the Deep Learning cropping algorithm. Additionally, Deep Learning was essential in this case, even though it is expensive regarding computing costs and required runtime. On top of that, improvements assigned to the algorithm also meant changes to the Deep Learning model, consuming further amounts of time the “Taxfix” developers needed to dedicate to this workflow.
To streamline the customer experience, a Scanner SDK with an integrated user guidance feature, was crucial. With the Scanbot SDK, Taxfix could take one of the final steps towards an error-free process of scanning documents and extracting text. Snapping a high-quality picture became possible with Scanbot’s smart document detection, including a guiding system that leads the customer into the perfect scanning position and therefore increases the quality of the resulting scan. This guarantees faster results regarding tax returns and finally leads to happier users.
User uploads an image by following the guided UI elements, resulting in a flawless scan
On the backend, OCR is performed on the scan immediately, since the Deep Learning component has become obsolete, saving time and costs
More accurate results can be returned to the user with less time invested in the process
By implementing the Scanbot Scanner SDK, Taxfix was able to:
Originally, Scanbot wanted to scan everything: from simple barcodes to freight bills, medical certificates, and invoices - and now it can! There are endless ways this can make things easier for businesses and their customers. Our easy-to-integrate software simplifies workflows in document management, customer onboarding, sales, or HR.
Now, Scanbot applies machine learning to understand each individual document type. This opens up new usage scenarios, such as automated document workflows, and creates even more opportunities to connect and work with data in real-time.Besides, Scanbot highly values the security of its users' sensitive data.
The Scanbot SDK works exclusively with on-device intelligence, which keeps documents safe from any external or man-in-the-middle attacks. No data is ever stored on Scanbot's servers or any third-party servers, satisfying the highest data protection standards.
Talk to one of our solutions experts to discover how we can solve your mobile data capture requirements or simply integrate it into your own mobile app or website right now.Contact us