Android Document Scanning App with Google ML Kit Integration
Budget: ₹37,500 – ₹75,000 INR
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.
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.