Voila

Under the staff augmentation model, Touchlane helped build a top-tier image processing app for iOS and Android, bringing advanced visual effects and AI-driven animations to mobile users.

Staff Augmentation
2020 – ongoing
Industry: photo editing, entertainment

Apple Store Google Play

Initial Task

Description

One of our clients challenged us to apply AI in the creation of the best photo processing software, blending face transformation features with artistic filters for a truly standout user experience. Reaching out to our team, the customer has requested to contribute to creation of an app that would allow users to upload their photos from their devices and convert them into stunning pieces of art like Cartoons, Renaissance Painting, Hand Drawn Caricature, all generated by AI.

While backend logic handled animations, our team focused on implementing face detection and front-end features critical to intuitive photo processing app performance on mobile devices.

Technology stack

Alamofire Vision Kingfisher SnapKit Firebase StoreKit Swift

Process

Phase / 01.

Discovery, Tech Consultancy and Team Formation

The process of Voila development involved certain preparation and research of the AI solutions for face detection to launch a quality product able to meet the demands of modern users.
To tackle these challenging tasks we engaged our following highly experienced specialists: senior iOS and C# developers, UI Designer, as well as QA engineer.
UI implementation

Our designer has carefully thought out all the elements of the user interface in such a way as to guarantee an attractive appearance, and most importantly, great user experience.
Photo Library & Camera Integration

We integrated the API with the camera and photo library to provide users with the opportunity to upload their photos to the application.

Phase / 02.

Face Detection Implementation

With the use of the Vision framework, our team configured the accurate detection of faces to ensure maximum face similarity with the original in the processed images.
Image Processing on Back-End

At this stage, we implemented an image processing algorithm that would be run on photos and provide users with the processed cartoon-like images.
Image Sharing

We also set up integrations with social networks so that users can share their masterpiece with friends, as well as save the picture to the galleries of their smartphones.

Phase / 03.

Integration of In-App Purchases & Ads

To implement the client’s monetization strategy, we set integration with ads as well as introduced in-app purchases so that users may upgrade the app to the pro-version and make use of additional paid features.
Testing and Release

We thoroughly tested and optimized the app, helping the client bring to market a polished photo editor app development success story that gained massive popularity across platforms.
Further Work

As the project is still evolving and undergoes some changes, we keep performing regular beta testing sessions for the new app version and carry on the constant post-release support of new features.