Mobile AI Background Changer App

@hirujiyu

➰➰ Experienced MOBILE APP developer since 8+ years Hi there, Based on your requirements, I can build the photo editor around the background-removal experience first, while keeping the AI processing on-device for speed, privacy and predictable performance. I would benchmark the segmentation model against representative 12 MP images, optimise the model through quantisation where quality allows, and use device-native acceleration to target the <2-second processing goal on iPhone 12. Edge quality will be tested around hair, clothing and other difficult boundaries rather than relying only on overall segmentation accuracy. ⭕ Do you already have a preferred segmentation model/dataset, or should I evaluate suitable pre-trained models first? ⭕ Will the app require completely offline processing, including the initial model download? ⭕ Should user-created backgrounds be stored only locally, or synced through an account/cloud service? ⚡ I’ll keep the ML layer modular so the segmentation model can be improved or replaced later without rewriting the editor itself. Thank you.

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in Android, Android App Development, iOS Development, Kotlin, Mobile App Development, iPhone As a preferred freelancer in the top 1%, I have done 400+ projects here on freelancer.com, I have 4.9 ratings out of 5 on average, which showcases my quality of work and timely delivery. Key Highlights: - Free Hosting Support on the Cloud or any desired platform. - Free 3 months of post-delivery support to ensure that our client doesn’t face any challenges after the launch of the project. - Free Dedicated tester on projects to ensure quality delivery, so clients don’t need to act as a tester. - 10+ Years experience UI/UX team to ensure intuitive UI. Portfolio: https://www.freelancer.com/u/Microlent Please open the chat and send me a message, so we can have a more detailed discussion about the project to give you the project timeline and cost. Thank you for considering my services. I look forward to engaging in a productive conversation and understanding how I can be of assistance in bringing your project to life. Regards Rajesh Rolen

@corpmember29

Hello, I read your requirements carefully and understand the need for a professional iOS/Android AI background changer with high-precision, on-device segmentation. >>>> Multi languages (English and Arabic)Left-To-Right (LTR) and Right-To-Left (RTL) <<<< I have 11+ years of experience in the required technologies and can build this step-by-step using Flutter with Core ML/Vision on iOS and TFLite/NNAPI on Android. I will focus on continuous alpha matting, hair/edge preservation, guided-filter upscaling, model quantization and hardware acceleration to achieve the targeted processing times while keeping the app lightweight. I will also implement camera/gallery import, 60 FPS editing canvas, manual mask refinement, backgrounds, undo/redo, 4K export, dark/light UI and the required Figma handoff, source code, trained models and beta builds. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STORES. I am available to start immediately and will provide regular progress updates throughout development. I eagerly await your positive response. Thanks, Christina

@irsolutions

With over a decade of experience in mobile app development, including expertise in AI integration and image processing, I understand your need for a cutting-edge Mobile AI Background Changer App that stands out in the market. My background in developing high-performance, user-centric applications, such as the Telegram Mini Apps serving over 1 million users, directly aligns with the complexity of your project requirements. For strategic insight, I recommend leveraging TensorFlow Lite for on-device processing to ensure both speed and user privacy. My past success in implementing AI models in mobile apps showcases my ability to handle such challenges effectively. If you're ready to elevate your project to the next level, let's discuss the roadmap for your Mobile AI Background Changer App. I'm here to collaborate on achieving segmentation quality, model optimization, and UI polish to create a seamless user experience. Contact me to explore how we can bring your vision to life.

@ozbas

As an experienced full-stack software engineer with a strong emphasis on mobile development and a deep knowledge of multiple platforms, I believe I am the perfect fit for your Mobile AI Background Changer App project. My diverse experience in app development, including working with Flutter and React Native- frameworks well-suited to achieve your goals- allows me to streamline the process while ensuring top-notch results. To address your main concerns: Firstly, for segmentation quality, I plan to utilize lightweight frameworks like TensorFlow Lite or Core ML to ensure optimal performance on-device while maintaining high precision. Having completed several projects with similar demands successfully, I can offer not just the technical know-how but reliability and dedication throughout the implementation. From seamless import features and background removal capability to efficient image editing functions using tools like undo/redo feature and zoom/pan capability, count on me for meticulous attention to detail. Joining hands with me promises a clean and efficient solution that adheres to industry benchmarks while retaining an intuitive user experience.

@Hammadhassan21

Hey there! The 12 MP latency target makes the inference pipeline the heart of this project. I would keep Flutter responsible for the UI and interactive canvas, while using native Core ML/Vision on iOS and TFLite with GPU/NNAPI on Android rather than routing inference through Flutter. For edge quality, your continuous alpha-map approach is the right direction: run inference at a manageable resolution, then recover fine boundaries against the original image before compositing. I would benchmark hair, transparency, shadows, and difficult backgrounds separately so production quality isn’t judged by latency alone. I would also validate the 40 MB bundle and 2 second 12 MP processing targets on the specified devices throughout development. Do you already have training data for fine-tuning RMBG/Robust Video Matting, or should I establish the dataset and training pipeline as part of the project? Portfolio: https://www.freelancer.com/u/Hammadhassan21 Best regards, Hammad Hassan

@Srashtasoft

Hi there, I have read your project requirement. You need a polished cross-platform photo editor focused on AI background removal and replacement, with on-device processing, editable masks, 4K export, and a professional UI for iOS and Android. We can build the app with an optimized on-device segmentation model using Core ML/TFLite/ONNX, focusing on edge quality, fast processing, memory efficiency, and a smooth editing experience. A few questions: ============== Do you already have a preferred AI model/dataset, or should we handle model training and optimization? Should background removal support people only, or objects and complex scenes as well? Do you want the preset background library bundled in the app or managed remotely? Which should we prioritize first: iOS performance, Android performance, or equal optimization? Best Regards, Srashtasoft Team

@point2solutions

AI-Powered Background Removal & Photo Editor — iOS & Android I can help build the photo editor with on-device AI segmentation, optimized for fast processing and high-resolution exports. Here's my approach: → Use a lightweight segmentation model with TensorFlow Lite, Core ML, or ONNX and optimize it for mobile inference. → Build the editor with import, mask refinement, background replacement, zoom/pan, undo/redo, and 4K export. → Create the UI in Flutter with the finalized Figma design, including dark/light themes and subtle animations. → Test performance across current and mid-range devices and provide beta builds, source code, and documentation. Flow Import Photo/Camera → AI Background Removal → Edit Mask → Select Background → Preview → Export Question Do you already have a preferred segmentation model/dataset, or should I handle model selection, training, and optimization as part of the project? Let's connect... Thanks

@InterconnectBPO

To create a professional photo editor app for iOS and Android, I’ll leverage cutting-edge AI techniques for seamless background swapping. The focus will be on real-time subject segmentation and maintaining sharp edges, ensuring users enjoy a top-tier experience. Understanding the need for a polished interface, I will incorporate clean lines, subtle animations, and a dark/light theme toggle. This aligns perfectly with your vision for appealing to designers, influencers, and everyday users. My expertise in TensorFlow Lite and Core ML will ensure on-device image processing is efficient and privacy-oriented. I have a strong background in app development, UI/UX design, and optimization for performance on various devices. Regards, Jp

@mrresearcher99

Hello, I have 10 years of experience developing polished mobile applications for Android and iOS, including AI-powered features and image-focused workflows. I recommend React Native for the application layer, combined with an optimized on-device segmentation model to preserve privacy, reduce latency, and support a shared maintainable codebase. I would approach segmentation by using high-quality training data, mask refinement, edge smoothing, and device-level benchmarking across mid-range hardware. The editor will support camera and gallery import, share-sheet access, editable masks, preset and custom backgrounds, undo/redo, zoom, pan, theme switching, and original-resolution export. Performance optimization will focus on model size, memory usage, image tiling, and efficient processing to target the required timing for 12 MP images. I will provide build-ready source code, model documentation, UI handoff, beta builds, testing, demo materials, and agreed post-launch support. Best regards

@alimumtaz112

Hi, It will be an honor for me to work with you. I have got 12 years of mobile application development experience (iOS, android, flutter). Lets discuss this in detail and get this started. Looking forward to hear from you.

@ciss26

Hello there, Hope you are doing well I can build your AI Background Changer App for both iOS and Android with a strong focus on segmentation accuracy, on-device processing, performance, and premium UI/UX. I understand the key requirement is not simply removing a background, but producing clean, natural edges around hair, clothing and complex subjects while keeping processing fast and private. Recommended Tech Stack Flutter for a single maintainable iOS/Android codebase ONNX Runtime / TensorFlow Lite for optimized on-device AI inference Native Core ML integration on iOS where beneficial Key Features Camera, gallery and share-sheet image import Automatic AI background removal Editable mask overlay with manual refinement Solid colors, gradients and custom backgrounds Preset background library User background uploads Undo/redo Zoom and pan Original-resolution export up to 4K Dark/light themes Smooth animations and polished interactions Offline/on-device processing for privacy Optimized performance for current-1 iOS/Android devices Thanks & Regards Dheeraj K.

@webbookstudio

Hi there, We understand you're looking to develop a professional photo editor app for iOS and Android with a key feature of AI-powered background swapping, focusing on real-time subject segmentation and crisp edges. Our team at Webbook Studio has experience with similar projects, such as a music voting mobile app built with React Native and a furniture store mobile shopping app using Flutter. We can leverage our expertise in mobile development to deliver a high-quality app that meets your expectations, utilizing frameworks like TensorFlow Lite or Core ML for on-device image processing to ensure speed and privacy. One question: Are there any specific design preferences or brand guidelines you'd like us to follow for the app's UI, or would you like us to propose a design concept based on industry trends? Feel free to message us to discuss the details! — Webbook Studio

@rajat07me

The biggest risk in this project is balancing sharp segmentation, 4K export, and a sleek UI without turning the app into a slow or oversized build. I’d handle that by prototyping the inference pipeline on target devices first, then building the editing experience around what performs reliably on-device, so the final app feels deliberate and business-grade instead of visually polished but technically fragile. That is especially important since your acceptance is tied to benchmark comparisons and measurable processing time. Your deliverables show this needs more than coding alone: model files, training documentation, Figma handoff, release-ready source, beta builds, and post-launch stability. That kind of scope benefits from a structured implementation plan with clear checkpoints for model quality, UI approval, export testing, and store-ready packaging on both iOS and Android. If useful, I can also help define a first release scope that protects quality while leaving room for later upgrades like more advanced background packs or extra retouch tools. - Is the priority for v1 strongest possible gallery-photo results, or do you want live camera performance treated as equally important from the start? - How much manual mask editing do you want in the first release: simple brush/erase correction, or more advanced feather/refine controls? - Should the design handoff include a full reusable component system, or mainly the finalized screens and interaction states?

@codefusion53

Hi I can help develop your AI-powered photo editing app for iOS and Android with a focus on high-quality background replacement, smooth performance, and a premium user experience. I understand the key challenge is achieving accurate subject segmentation with clean edges while keeping processing fast and private. I can build the app using a suitable cross-platform or native approach with on-device AI using technologies such as Core ML, TensorFlow Lite, or ONNX, optimized for mobile performance. I can implement camera/gallery import, AI background removal, editable masks, preset and custom backgrounds, undo/redo, image editing controls, high-resolution export, and polished UI features including dark/light themes and animations. My approach would include model optimization, mobile inference testing, UX design in Figma, app development, beta testing, and final delivery with complete source code and documentation. I will focus on achieving reliable results on modern devices while keeping the app lightweight. I would like to discuss your preferred AI model approach, training data availability, and target launch timeline to define the best development plan. Best, Justin

@techplusintl

Hi, I understand you want to release a professional-looking photo editor for iOS and Android with a focus on AI-powered background swapping. To tackle this project, I will first ensure that we have a clear understanding of the segmentation quality and model optimization. I recommend using TensorFlow Lite for the on-device image processing, as it provides the necessary speed and privacy while keeping the APK/IPA lean. We will also need to implement a robust UI that reflects a polished and business-grade look, utilizing Figma for the design hand-off. I will guide the junior developer to focus on seamless import functionality, automatic background removal, and ensuring smooth performance on mid-range devices. We must also consider the challenges of maintaining sharp results at up to 4K resolution and the need for a library of preset backgrounds. Hidden problems may include ensuring compatibility across different devices and OS versions, which we will address through thorough testing and optimization. I will also prepare for post-launch support to handle any bugs that may arise. Ready to start immediately!

@komalshaikh92

Hello, Based on my understanding, you are looking to build a polished iOS and Android photo editor centered around AI background removal and replacement. The app needs accurate on-device segmentation, smooth editing tools, custom/preset backgrounds, camera and gallery support, 4K-quality exports and a professional dark/light UI. My approach would be to use a suitable cross-platform architecture with an optimized on-device model using Core ML, TensorFlow Lite or ONNX based on performance testing. I’d focus on clean edge detection, mask refinement and model optimization to meet the target processing time while keeping the app lightweight. I’d also build the complete editing flow, Figma handoff, beta builds, documentation and testing. Just two questions: 1. Do you already have a segmentation model/dataset, or should model selection and training be included? 2. Should background replacement work live through the camera, or only after capturing a photo? There are a few other details around model licensing, supported devices and backend requirements I’d like to clarify, but due to Freelancer.com’s character limit I can’t cover everything here. Please open a chat with me so we can discuss the technical approach, timeline and final budget.

@Jennycreation

With over 17 years of experience in Android development, my team and I have the expertise to deliver a high-quality Mobile AI Background Changer App that ticks all the boxes of your project description. We acknowledge the importance of meeting your core expectation: turning around seamless import from camera roll, live camera view, or drag-and-drop share sheet with automatic background removal and editable mask overlay. Our comprehensive Android skills ensure we can provide a smooth performance across different devices and operating systems while using features such as undo/redo, zoom, pan, and export at original resolution. Moreover, our seasoned team has in-depth knowledge of image-processing models running on device aiming for speed and privacy. We understand your requirement for lightweight frameworks like TensorFlow Lite, Core ML, or ONNX while keeping the final APK/IPA lean. This aligns well with our familiarity with ASP.NET C# development as well which can contribute to optimising your model files and their training pipeline. Lastly, it is worth mentioning that apart from exceptional technical abilities our team has had repeated success in delivering projects with excellent UI and UX designs. We commit ourselves to provide a clean and polished interface for your app with crisp business-grade look incorporating subtle animations and dark/light theme toggle.M+dem

@invoketech

Hello, I have hands-on experience with projects having similar features. I have 9+ years of mobile app development experience and can build a polished iOS + Android photo editor with on-device AI segmentation, optimized for speed, privacy and high-quality results. Key Features --> AI background removal with editable mask, crisp edges and real-time preview --> One-tap replacement using colours, gradients, presets or gallery images --> Camera, photo library and share-sheet import with 4K/original-resolution export --> Undo/redo, zoom, pan and smooth editing experience with dark/light themes --> Optimized TensorFlow Lite/ONNX/Core ML pipeline for fast on-device processing --> Figma UI, complete source code, beta builds, documentation and testing Working Flow: UI/UX --> AI segmentation --> Model optimization --> Image editor --> Export --> Device testing --> App Store/Play Store I’ll focus on segmentation accuracy, memory efficiency and achieving the requested processing target on supported devices. Full source code and 2 years of support will be included. Let’s discuss in chat as I have some queries to ask regarding the project to proceed further.