Android Document Scanning App with Google ML Kit Integration
₹37500-75000 INR
Closed
Posted 2 months ago
₹37500-75000 INR
Paid on delivery
Project Overview: We are looking for an experienced Android developer proficient in Kotlin to build a document scanning app. This app will enable users to scan documents, recognize text using Google ML Kit, and manage files seamlessly. Additionally, it will offer integration with popular cloud storage services, providing an efficient and accessible solution for document handling on Android devices.
Key Features:
1. User Authentication:
* Firebase authentication for secure login and user management.
* Options for signing in with Google, email, and password.
2. Document Scanning and Text Recognition:
* Real-time document edge detection and high-quality capture using google mlkit
* Integration with Google ML Kit for accurate text recognition.
* Ability to recognize and extract text from scanned images in multiple languages.
3. Document Management:
* Organize scanned files into folders for easy access.
* Rename, delete, and reorder scans as needed.
* Search functionality within the app to locate documents quickly.
4. Cloud Integration:
* Export and sync documents directly with Google Drive, Evernote, OneDrive, and Dropbox.
* Option to share scanned documents in PDF or JPEG format.
* Selectable document quality and size options for export.
5. User Interface:
* Clean, intuitive UI with smooth navigation.
* Support for light and dark modes.
* Onboarding guide for new users to learn app features.
20. Provide filters to enhance scan quality, such as black and white, grayscale, and color.
Technical Requirements:
* Platform: Android-only, developed in Kotlin.
* Backend: Firebase for authentication and any minimal cloud storage needs.
* Text Recognition: Google ML Kit for OCR.
* Cloud Storage Integrations: Google Drive, Evernote, OneDrive, Dropbox.
Project Timeline: The estimated project duration is 8-10 weeks, with a full testing phase included.
Budget: Please provide your estimated cost, considering all required features.
Proposal Requirements:
* Outline your experience with Firebase and Google ML Kit.
* Describe your approach for integrating cloud storage solutions.
* Provide a timeline with milestones.
* Include links to previous work on Android apps, especially those with document scanning or cloud integration features.
Hello there,
I have gone through your requirement for Android Document Scanning App with Google ML Kit Integration. With over a decade of experience in the industry, my team and I bring a wealth of knowledge and expertise to the table. We specialize in creating dynamic, user-friendly, and high-performing mobile applications that cater to diverse business needs.
Our Expertise:
Years of Experience: Over 10 years of professional experience in mobile app development.
Tech Stack: Proficient in the latest technologies including Kotlin for Android development and Google ML Kit for machine learning integration.
Skills: Expertise in UI/UX design, API integration, document scanning, OCR (Optical Character Recognition), database management, and security best practices ensures a comprehensive development approach.
Project Management: Agile methodologies for efficient and timely delivery of projects.
Proven Track Record: Successfully delivered numerous projects across various niches, enhancing business growth and user engagement for our clients.
Custom Solutions: Tailored app development strategies to meet your specific business objectives.
We're eager to work with you and discuss how we can bring your project to life with our expertise. Let us know a good time for a call or meeting to talk about your needs and how we can add value to your project.
Best Regards, Nettyfy Technologies
Hi there,
As a seasoned Android developer with profound expertise in Kotlin programming, I am confident that my team and I are the perfect candidates for spearheading this document scanning project. We possess immense experience handling diverse mobile app complexities, specifically focusing on robust document scanning and cloud integration functionalities in our previous works. Our expertise with Firebase ensures a reliable and secure user authentication approach using popular sign-in methods like Google, email, and password accordingly to meet your application's needs.
One of our key strengths lies in our extensive know-how of Google ML Kit and its deployment within the Android ecosystem. Leveraging Google ML Kit's OCR capabilities, we will empower your users with accurate text recognition from scanned images in multiple languages - truly taking their scanning experience to the next level. Furthermore, we've successfully integrated various cloud storage solutions like Google Drive, Evernote, OneDrive, and Dropbox in our past projects. Rest assured that we have the capability to export documents seamlessly to these platforms while allowing users to share scans conveniently in PDF or JPEG formats.
Let's chat to proceed.
Dear Narendra.
I hope these bid sentences find you well.
Just read your job post carefully and exactly understand that you're seeking an experienced Android developer with a strong focus on Kotlin for creating a sophisticated document scanning application.
As I'm a seasoned Kotlin developer who has rich experience in mobile app development, particularly with Firebase and Google ML Kit, so I am confident in your project.
These are my core skillsets and I can complete your project in a short time with a High-Quality Code and a Perfect Result.
A good eye for design will make me able to build the clean and attractive UI. And also the deep knowledge about the data structure and algorithms makes me find the best solution and deliver the high-quality product.
Therefore, I wanna say to you that I can work with all my wisdom and passion for implementing user authentication, developing the document scanning and text recognition features, managing document organization, and integrating cloud storage solutions within the app.
I look forward to hearing from you soon hoping I can get an opportunity to work on this interesting project.
Let's collaborate and build something amazing together.
Thank you,
Daniel.
Hello! I'm Sonam from Omkaar Group, a company fully dedicated to innovation and excellence. I'm thrilled to offer my skills to create your dream Android document scanning app with Google ML Kit integration. As an experienced Android developer fluent in Kotlin, I am well-versed in delivering high-quality software solutions that stand the test of time. Just as you rightly envisioned, our team guarantees top-notch functionalities including user authentication via Firebase, Google ML Kit-powered text recognition, and seamless file management.
My understanding of the project is fortified by my profound experience in leveraging Firebase and Google ML Kit technologies for powerful OCR-based document scanning applications. Additionally, we have mastered cloud storage integration in our previous projects as well. We can optimally merge the app with Google Drive, Evernote, OneDrive, and Dropbox to ensure smooth data synchronization; empowering your users to export and share scanned documents intuitively.
Our approach is straightforward – understanding clearly what you need followed by a tailored execution plan with clear milestones and timelines. Our previous work demonstrates a strong skill set incorporating document scanning and cloud integrations; this project's key requirements. Partner with us for a robust, aesthetically pleasing solution that prioritizes user experience while also staying within your budgetary constraints. Let's make your vision a reality!
Hi There,
Proposed Approach
To deliver a high-quality app, I propose the following approach:
1. User Interface (UI) and User Experience (UX):
o Design a clean, intuitive, and visually appealing UI that prioritizes user experience.
o Implement a smooth and efficient scanning process, including real-time previews and automatic cropping.
o Provide clear feedback during the scanning and processing stages.
2. Core Functionality:
o Document Scanning: Utilize the device's camera to capture high-quality images.
o Text Recognition: Employ Google ML Kit's text recognition API to accurately extract text from scanned documents.
o Document Management: Implement features for organizing, searching, and filtering scanned documents.
o Cloud Integration: Integrate with Google Drive, Evernote, OneDrive, and Dropbox using their respective APIs.
3. Performance and Security:
o Optimize the app for performance, ensuring smooth operation even on lower-end devices.
o Implement robust security measures to protect user data, including secure authentication and data encryption.
4. Testing and Quality Assurance:
o Conduct thorough testing on various Android devices to identify and fix bugs.
o Perform usability testing to ensure a seamless user experience.
Let us chat and discuss
Thanks
Ankush
Hi, I am an experienced Android developer with a strong background in Kotlin and Android app development, including expertise in Firebase and Google ML Kit. I’m excited about the opportunity to build a robust document scanning app for your users, and I’m confident I can deliver a seamless, feature-rich solution within the timeline specified. I have previously developed applications involving document scanning, text recognition, and cloud storage integrations. I will use Google ML Kit for real-time document edge detection and high-quality OCR. This will allow users to extract text in multiple languages, catering to a wider user base. Users will be able to manage scanned documents effortlessly through folder organization, renaming, and search functionality. This will enhance user experience by simplifying document handling.
