iOS OCR App with Local LLM

@kamran2012

Hello, I will build your iOS OCR app in a simple and clean way from scratch. I can help shape the OCR processing flow, the local data storage, the document management features, the export options and the overall user interface so the whole app works fast, securely and without relying on a cloud backend. I always write clear and well organised code with tests and simple notes so anyone can understand how things work. We can pick the tech stack together and plan milestones that fit the scope. I will prepare a modular iOS codebase, integrate accurate OCR, enable offline storage and search, build clean UI screens, add automated tests and write a short guide explaining the main design choices. Looking forward to discussing further. Regards, Kamran.

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( Local LLM powered OCR for high accuracy on labels and packaging ))⚜⭐⭐⭐⭐⚜ Your goal to refine an existing iOS and Android app so it can run OCR through a local LLM is a smart move, especially for offline accuracy and secure data handling. You are looking for someone who can stabilise the current Expo based build, integrate reliable printed text extraction, and optimise the workflow for labels and packaging. With experience in mobile OCR, image preprocessing, and LLM based text recognition, I can help streamline the model integration and tune the pipeline for consistent results. A clean architecture paired with lightweight on device inference will keep everything fast and dependable. Most important features • Local LLM for accurate OCR • Printed text extraction from labels • Stable iOS and Android build using Expo If this aligns with the direction you want, I would be happy to discuss the steps and timelines in detail. Warm Regards, Farhin B.

@RakhiRish

Hi, Thanks for the details. I can help tidy up your existing Expo-based iOS/Android app and integrate a local LLM-powered OCR system for high-accuracy text extraction from labels and packaging. I have experience with: On-device OCR (Tesseract, PaddleOCR, custom ML models) LLM integration for text refinement Image processing and React Native/Expo apps I can review your current build, clean up the code, improve performance, and implement a reliable local OCR workflow. Happy to share relevant portfolio work and discuss the technical approach. Note: Bid is placeholder, we will finalize the actual amount after the discussion

@mobiwebsolutions

Hi There!!! THE PROJECT GOAL IS TO BUILD A LOCAL LLM POWERED OCR APP FOR IOS AND ANDROID I have studied your project description very well and understand you need accurate printed text extraction from labels and packaging using a fully local model. I am a best fit because I handle mobile ocr, llm setups and expo based apps with clean fixes. 1. strong experience in ios and android builds with expo 2. hands on work with ocr and image processing for label text 3. ability to integrate local llm models for offline recognition My basic services include ui adjustments, database management, testing, deployment help, bug fixing, performance tuning and full source code at the end. I have 9+ years experience as a full stack developer. I have built ocr based apps, barcode reading tools and llm integrated mobile utilities similar to your workflow. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@trm66614

Hi there, Good afternoon I am Talha. I have read you project details i saw you need help with OCR, LLM Integration, iOS Development, Artificial Intelligence, Android App Development, Mobile App Development, Image Processing, iPhone and Expo I am excited to submit my proposal for your project, which focuses on a comprehensive project plan. To begin, we will thoroughly understand your project's objectives and requirements, ensuring alignment on scope and goals. We will provide a clear and realistic project timeline with manageable milestones to ensure timely completion Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@ZohaibRoy

⭐⭐⭐⭐⭐ Enhance Your App with Local LLM for OCR Text Recognition ❇️ Hi My Friend, I hope you are doing well. I’ve reviewed your project needs and see you are looking for an iOS and Android developer to improve your app using local LLM for OCR. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects focused on OCR and text recognition. I will ensure accurate printed text extraction from labels and packaging, using efficient methods within your budget. ➡️ Why Me? I can easily enhance your app for OCR as I have 5 years of experience in mobile app development, specializing in iOS and Android platforms, OCR technology, and image processing. My strong grip on LLM integration and text recognition will ensure your project is completed successfully. ➡️ Let's have a quick chat to discuss your project in detail. I would love to show you samples of my previous work that highlight my expertise in this area. Looking forward to our chat! ➡️ Skills & Experience: ✅ iOS Development ✅ Android Development ✅ OCR Technology ✅ LLM Integration ✅ Image Processing ✅ Text Recognition ✅ React Native ✅ Expo Framework ✅ API Development ✅ Software Testing ✅ User Interface Design ✅ Performance Optimization Waiting for your response! Best Regards, Zohaib

@techsty2014

Hi, I like your job. I am a mobile app developer with strong experience building iOS applications that include OCR scanning, local processing, secure data handling, and clean user flows without using external servers. I have worked on apps that require fast text extraction, offline capability, and reliable performance with clear and simple UI. Here is how I can contribute to your project: 1. On Device OCR: I can implement high quality OCR that works locally on the iPhone using Apple Vision or other on device libraries with fast and accurate results. 2. Local Data Handling: I can process text, save it securely on the device, support exports, and allow users to manage their scanned data without cloud storage. 3. Custom Features: I can add cropping, auto detect areas, text formatting, history logs, categories, or any tools you need. 4. UI and UX: I design clean and simple screens with good spacing and smooth navigation so the scanning flow is easy for users. 5. Performance: I ensure fast scanning, low battery use, optimized processing, and stable behavior across iOS devices. I can give you the timeline and cost after getting the full information. Let us discuss your project further via Chat. Looking forward to your response. Thanks, Faizan

@robertw0802

Hi TemplerCon, I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering SaaS platforms, automation systems, and intelligent applications, with strengths in AI integration, mobile app development, and OCR technology. I have successfully developed and delivered AI-driven applications, including a local LLM-based OCR system that accurately recognizes printed text from packaging. My technical background in mobile development aligns perfectly with your project goals, ensuring a reliable and efficient implementation. I can complete this project perfectly and deliver scalable, production-ready results. My commitment to clean architecture, structured documentation, and CI/CD automation ensures a smooth development process. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. Could you share more about the specific features you want to enhance in the app?

@shanec35

I can help you tidy up your existing Expo-based app and integrate a fast, fully local OCR pipeline powered by an on-device LLM. I’ve worked on iOS/Android apps using local models (TFLite, CoreML, GGUF) for text extraction, product-label scanning, and offline AI processing, so I’m comfortable optimising inference speed and accuracy on real devices. I’ll focus on printed-text recognition for labels/packaging, handle preprocessing (deskew, denoise, segmentation), and plug in a lightweight local model to avoid cloud costs. You’ll get clean code, improved OCR accuracy, and a drop-in workflow that keeps your Expo/RN structure intact. I can start your project immediately.

@uniqedeveloper

Hi, I can help clean up and optimize your iOS/Android app in Rork + Expo, integrating a local LLM-based OCR pipeline for high-accuracy label and packaging text extraction. I’ve previously built mobile apps with on-device OCR (Tesseract/ML Kit + LLM post-processing) to improve accuracy on noisy product labels. I’m comfortable with image preprocessing, text detection, and efficient on-device model integration. Ready to start right away and share relevant work samples. let's get in touch Thanks

@SaadMubee

Hi there, Tidying up your existing Rork + Expo app to run OCR through a fully local LLM is definitely achievable, and I can help you bring it to a production-ready state. My approach would be to refine your current codebase, integrate an efficient on-device OCR workflow (optimized for labels and packaging), and ensure the LLM runs smoothly without cloud dependencies. I’ll also stabilize the image-processing pipeline so the app can reliably extract clean printed text even from imperfect photos—glare, angles, small fonts, and varying lighting. Before we dive deeper, could you share which local model or framework you’re currently considering for the OCR processing? https://www.freelancer.com/u/SaadMubee Best regards, Saad Mubeen

@josephv71

Hello. I can help finalise and optimise your existing Rork/Expo application by integrating a local LLM-based OCR engine for printed label and packaging recognition. My approach is to embed an offline OCR workflow that does not require a cloud connection, ensuring fast processing and improved privacy/security. I will evaluate suitable models (Tesseract, PaddleOCR, EasyOCR, or a lightweight on-device Vision Transformer) and optimise them for mobile performance. The app will receive camera or gallery inputs, run preprocessing (denoise, deskew, contrast), and extract clean text output using a local inference pipeline. I will implement accurate text detection and recognition for various fonts, curved surfaces, and varied lighting conditions. Delivery will include testing on both iOS and Android, ensuring stability, speed, and acceptable RAM/CPU usage. I will provide documentation and developer hand-off so your team can maintain the model pipeline in the future. My portfolio includes OCR, on-device ML, and Expo/React Native apps deployed in production. Regards, Joseph.

@valeriias01

✨✨✨ Hi there, hope you are doing well. As a seasoned iOS & Android Specialist, I have built and delivered several projects closely aligned with yours and would love to help you integrate a local LLM-based OCR system into your existing app. I have carefully reviewed your project description, and it immediately resonates with the kind of high-accuracy, on-device text-processing solutions I specialize in. I have extensive experience working with these technologies and have delivered projects using them in production environments: ✔️ iOS (Swift, SwiftUI) & Android (Kotlin/Java) ✔️ React Native / Expo ecosystem ✔️ On-device OCR pipelines (Tesseract, VisionOS, MLKit) ✔️ Local LLM / model integration (GGUF, MLC, ONNX) ✔️ Image processing & text extraction from packaging/labels This experience allows me to handle all aspects of your project efficiently — from setting up an accurate, lightweight OCR pipeline using a local LLM, to optimizing performance on-device and ensuring consistent text extraction across a wide range of label and packaging formats. I will refine your current app, integrate the local model, ensure high OCR accuracy, and deliver a clean, reliable solution ready for production. I am ready to dive in! Best regards, Valeriia.

@drosashallal

هلا بيك، أگدر أساعدك بترتيب وتنظيف تطبيقك الحالي على iOS و Android، وربط نموذج LLM محلي حتى يسوّي OCR دقيق لاستخراج النصوص المطبوعة من اللابلز والتغليف. الأمور ان شاء الله سهله حنشتغل التطبيق React Native / Expo، وكذلك ربط حلول الـ OCR والمعالجة الصورية وتحسين دقة قراءة النص، خصوصًا للنصوص الثابتة على المنتجات والباكِجات. أشتغل على تحسين أداء النموذج على الجهاز نفسه بدون إنترنت، وأضمن يشتغل بسلاسة على المنصتين. أقدر أراجع الكود الحالي، أرتّبه، وأضبط عملية القراءة والاستخراج بشكل مضبوط. إذا تحب، أرسل لك نماذج من أعمالي السابقة اللي تخص الـ OCR ومعالجة الصور. متحمّس نشتغل سوى على تكملة المشروع.