Build iPhone LiDAR Scanning App for Floorplan Creation (Similar to CubiCasa)

@Microlent

Hello! This project can be built using Apple’s LiDAR + ARKit scanning pipeline, and I can implement a workflow that captures accurate point cloud data and exports it in E57 format for use in SketchUp. Technical approach • LiDAR Capture – The app will use ARKit (ARSession + SceneDepth / ARMeshAnchor) to capture LiDAR depth data and generate a dense point cloud while the user scans interior spaces. • Point Cloud Processing – Depth frames will be converted into world-space points using camera intrinsics and accumulated in a global coordinate system. Noise filtering, downsampling, and color mapping from RGB frames will be applied. • Scale Accuracy – ARKit’s world tracking and LiDAR depth calibration will maintain true metric scale. Additional drift correction can be applied using ICP alignment and anchor stabilization. • E57 Export – The processed point cloud will be written to E57 using a native E57 writer library, preserving XYZ coordinates, color data, and metadata. Optional exporters can generate LAS/LAZ/PLY. • Technology stack – Swift + SwiftUI, ARKit, Metal for efficient point processing, and a lightweight C++ module for E57 file generation. The workflow will allow users to scan interiors, generate a high-density colored point cloud, and export it for SketchUp tracing. Quick question: should the app also include scan session saving and merging for large properties, or only single continuous scans per project? Best regards, Jasmin

@pinkeegupta

Hi I will be able to help you. I have done similar concept work before also and also working currently. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@GameOfWords

Build iPhone LiDAR Scanning App for Floorplan Creation (Similar to CubiCasa) I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@santoshkumars17

As a seasoned mobile app developer, I have the keen ability to transform innovative ideas into fully functional, user-friendly reality. My holistic skill set and 5+ years of professional experience make me the perfect fit for your iPhone LiDAR scanning app project. Using my robust proficiency in iOS Development and ARKit/LiDAR API, I can architect an app that effectively captures LiDAR data from the iPhone and processes it to generate accurate point cloud scans. Additionally, my proven expertise in Point Cloud Processing and 3D Geometry Processing will ensure that your generated floorplans maintain real scale measurements with utmost precision. Moreover, my capacity to integrate APIs and efficiently manage databases ensures that the E57 export functionality is seamless within the application. To develop this system, I would utilize Swift/SwiftUI as per Apple's recommended frameworks for optimal performance. Lastly, maintaining clear communication and completing projects on time are my core principles which will ensure a stable scanning workflow throughout our partnership on this endeavor. Overall, by choosing me you are opting for proficiency and efficiency in turning concepts into well-built solutions. Let's construct something phenomenal together!

@DigitalNightOwl8

Hey , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in RADAR/LIDAR and Mobile App Development. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. With regards

@KarthikTechCon

Hello, I’m **Karthik**, a **Mobile & Full-Stack Developer with 15+ years of experience** building advanced mobile applications and data-driven systems. I can help develop your **iPhone LiDAR scanning app for floorplan creation** with accurate point cloud capture and export. **Technical approach:** • Build the app using **Swift / SwiftUI with Apple ARKit and LiDAR APIs** • Capture depth data and generate **high-density point cloud scans with real-world scale accuracy** • Process scan data to clean and structure the **point cloud with color information** • Implement **E57 export functionality** compatible with **SketchUp point cloud plugins** • Optional support for **PLY/LAS formats** if needed The app will include a **simple scanning workflow, stable processing pipeline, and clean export interface** for real estate professionals and architects. **Estimated timeline:** ~6–8 weeks for a working MVP. I’d be happy to discuss the architecture and scanning workflow in more detail. Best regards, **Karthik** Mobile & Full-Stack Developer | 15+ Years Experience ?

@mubeenm5026

As an experienced mobile app developer, I have successfully handled complex projects demanding the integration of a wide range of technologies. Your iPhone LiDAR scanning application targetting real estate professionals, architects, interior designers and floorplan drafting services perfectly aligns with my skillset and previous projects. At Web Crest, we not only develop functional apps, but also prioritize seamless user experience. With FLutter and SwiftUI, we deliver polished mobile apps providing excellent UI/UX designs and I assure you the same for your LiDAR scanning app. I will employ Swift's ARKit and LiDAR API to effectively capture LiDAR data from an iPhone, process point cloud data while maintaining real scale accuracy for floorplan measurements. My developed mobile apps have been well appreciated for their ability to work with various file formats efficiently. Exporting E57 files as well as LAS, LAZ or PLY formats will be an uncompromising want in our project. We commit to offering stable scanning workflows and effortless navigation ensuring a productive user environment at all times. Having built AI-powered chatbots and virtual assistants in past projects proves my familiarity with the required point cloud and 3D Geometry Processing. Let's embark on this exciting project together - guaranteeing a high-performing mobile app that goes beyond your expectations.

@bhartimalu

Hello, I am excited about the opportunity to build your iPhone LiDAR scanning app. - I have experience with similar projects, successfully delivering apps that utilize LiDAR technology for floorplan creation. - My plan includes: 1. Requirement analysis 2. UI/UX design 3. Development using Flutter and ARKit 4. Testing and deployment. - I will use Flutter for cross-platform compatibility and Swift for iOS-specific features. - The project can be completed in 6-8 weeks with regular updates and open communication. Choose me for my expertise and commitment to quality. What specific features do you envision for the app? Do you have a preferred design style? Regards, Bharti M.

@kaustubhbawa123

Hi, I am an IIT Grad, Google Associate Android Developer, ex-BFSI and worked at fortune 500 companies. I will make it a reality for you. As a Mobile App Developer, I will develop a native iPhone app using Swift with ARKit for LiDAR scanning, utilizing the device's built-in LiDAR sensor and camera, and integrating with cloud-based services for point cloud processing and export in E57 format. Kindly click on the chat button so we can discuss and get started. Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@muhammadt449

As an experienced mobile developer and the founder of Codezyra Tech, I've successfully led multiple projects similar to your requirements. Over my 8+ years' experience, I've developed a profound understanding of full-stack development, cloud computing, and artificial intelligence which I know will be invaluable for executing your project. My portfolio includes apps that utilize cutting-edge technologies like ARKit and LiDAR for diverse industries. For your LiDAR scanning app, I propose using Swift and SwiftUI for iOS development, utilizing the ARKit/LiDAR API to capture precise point cloud data in true scale and maintain the real scale accuracy for floorplan measurements. I'll then process this data using efficient point cloud processing and 3D geometry processing methods ensuring high density scans while including color data to identify architectural elements with precision. Exporting the point cloud data in E57 format won't be a problem as I'm well-versed in handling different formats such as LAS, LAZ, PLY too. In terms of timeline, my team and I have a track record of delivering projects timely without compromising quality. Our aim is to not just generate an app that meets your primary requirements but also exceed your expectations regarding stability, clean UI, and a seamless user experience.

@mutahrar

Hello, I can develop your iPhone LiDAR scanning application with high accuracy and real-scale measurements. Using ARKit’s LiDAR API in Swift, the app will capture dense point cloud data of interior spaces, including color information for doors, windows, and stairs. The captured data will be processed in real-time to maintain true scale and exported in E57 format, with optional support for LAS, LAZ, or PLY. I will implement algorithms for filtering, noise reduction, and alignment of scans to ensure precise floorplan tracing in SketchUp. The UI will be clean and intuitive, guiding users through scanning, processing, and exporting steps efficiently. The technology stack will include Swift/SwiftUI for the iOS app, ARKit for LiDAR capture, and optimized point cloud processing libraries for data handling and export. I will maintain real-world scaling by calibrating LiDAR depth data and validating measurements against known dimensions. The estimated timeline for a fully functional version is 8–10 weeks, including testing and export validation. I have experience building 3D scanning and photogrammetry apps that handle dense point clouds and export professional-grade formats.

@chiragm078

As someone with extensive experience in mobile app development and a strong grasp of 3D scanning technology, I believe I'm the ideal fit for your project. Firstly, I'm well-versed in iOS Development, ARKit/LiDAR API, and Swift/SwiftUI - all vital skills for building your iPhone LiDAR scanning app. I understand the intricate needs of this project and will not only leverage the iPhone LiDAR sensor for interior scanning but also ensure true scale measurements for accurate results. This would involve capturing the LiDAR data from your iPhone, processing the point cloud data, and generating & exporting E57 files as you require - a task I’m entirely comfortable performing. Additionally, my familiarity with point cloud processing and 3D geometry processing ensures that I have the necessary expertise to accurately handle your LiDAR captured data. Lastly, maintaining real-scale accuracy for floorplan measurements is crucial in your project; this can only be achieved when working with a highly specialized professional who has handled similar apps or 3D scanning projects. I’ve worked on projects that involved generating precise measurements from raw data using different analysis techniques. It'll also be worth mentionin

@steffank2

Hello, I have completed similar projects outside of Freelancer, recently helping a client develop an AR-based measurement app that delivered precise spatial data for architectural use. Your requirement for a clean, professional, and user-friendly iPhone LiDAR scanning app that exports true scale E57 point cloud data aligns perfectly with my expertise. Ensuring seamless integration of high-density scans with accurate color data for doors, windows, and stairs will address your need for precision in floorplan drafting. I specialize in iOS development using Swift and ARKit, with extensive experience in 3D geometry and point cloud processing. I will capture LiDAR data via Apple's native APIs, process point clouds internally, and export E57 files by implementing open-source libraries tailored for true scale accuracy. I am offering this service at a discounted price to build my review portfolio, backed by proven off-site projects. I would love to chat more about your project! Regards, Steffan Koekemoer

@karthikresonite

Hello, Resonite Technologies has a proven iOS and AR development team experienced with LiDAR, ARKit, and 3D data processing, and we can build your LiDAR floorplan scanning app similar to CubiCasa. Technical Approach: • Use ARKit + LiDAR Scene Reconstruction to capture dense point cloud data with RGB color. • Process scans using Swift, Metal, and SceneKit to generate optimized high-density point clouds while maintaining true spatial scale. • Implement E57 export module (with optional LAS/LAZ/PLY) so scans import directly into SketchUp point-cloud plugins for floorplan tracing. • Maintain real-world measurement accuracy through ARKit world tracking, depth calibration, and spatial anchors. Workflow: Scan interior → LiDAR capture → process point cloud → export E57 → import into SketchUp. Timeline: ~5–7 weeks for a stable MVP with scanning, processing, and export. Our team has experience in AR apps, spatial scanning, and 3D geometry processing, ensuring accurate and reliable results. Best regards, Resonite Technologies – Mobile & AR Development Experts