document scanning & data extraction tool
Budget: ₹75,000 – ₹150,000 INR
Overview:
The web app you need is a document scanning and data extraction tool specifically designed for paper invoices. Its main objective is to extract part numbers from scanned invoices and match them with corresponding item numbers from labels. Additionally, the app should provide a backup solution and enable online searchability of the invoices in a CSV format.
Features and Functionality:
1. Document Scanning: The app should allow users to scan paper invoices using a scanner or upload scanned images directly. The scanned documents will serve as the input for data extraction.
2. Data Extraction: The app should employ Optical Character Recognition (OCR) technology to extract part numbers from the scanned invoices. OCR will convert the text on the invoices into machine-readable format.
3. Label Matching: Once the part numbers are extracted, the app should provide a functionality to manually or automatically match them with the corresponding item numbers from labels or a predefined database. This ensures accurate association between the part numbers on the invoice and the items they represent.
4. Backup and Search: The app should store and back up all scanned invoices, preferably in a CSV format, on a secure online platform. Users should be able to search for specific invoices using keywords, invoice numbers, or part numbers to retrieve relevant records quickly.
5. User Management: Implement a user management system that allows multiple users to access the web app with different levels of permissions. For example, administrators may have full access to all functionalities, while regular users might have limited access for viewing and searching invoices.
6. Reporting and Analytics: Provide features to generate reports and analytics based on the extracted data. This can help track invoice trends, analyze inventory, or identify any discrepancies between invoices and labels.
Technology Stack:
Discuss with your developer the most suitable technology stack for implementing this web app. Some common technologies and tools for building such applications include:
- Front-end: HTML, CSS, JavaScript, and a framework like React or Angular.
- Back-end: Node.js or Python, along with frameworks like Express.js or Django.
- OCR: Libraries or services such as Tesseract.js, AWS Textract, or Google Cloud Vision API.
- Database: Choose a database system (e.g., PostgreSQL, MySQL, or MongoDB) for storing and retrieving invoice data.
Timeline and Budget:
Specify your desired timeline for development and deployment, and discuss any budget constraints or limitations with your developer. This will help in planning the project accordingly.
Remember to have detailed discussions with your developer to clarify any questions or concerns and ensure that they have a complete understanding of your requirements
The web app you need is a document scanning and data extraction tool specifically designed for paper invoices. Its main objective is to extract part numbers from scanned invoices and match them with corresponding item numbers from labels. Additionally, the app should provide a backup solution and enable online searchability of the invoices in a CSV format.
Features and Functionality:
1. Document Scanning: The app should allow users to scan paper invoices using a scanner or upload scanned images directly. The scanned documents will serve as the input for data extraction.
2. Data Extraction: The app should employ Optical Character Recognition (OCR) technology to extract part numbers from the scanned invoices. OCR will convert the text on the invoices into machine-readable format.
3. Label Matching: Once the part numbers are extracted, the app should provide a functionality to manually or automatically match them with the corresponding item numbers from labels or a predefined database. This ensures accurate association between the part numbers on the invoice and the items they represent.
4. Backup and Search: The app should store and back up all scanned invoices, preferably in a CSV format, on a secure online platform. Users should be able to search for specific invoices using keywords, invoice numbers, or part numbers to retrieve relevant records quickly.
5. User Management: Implement a user management system that allows multiple users to access the web app with different levels of permissions. For example, administrators may have full access to all functionalities, while regular users might have limited access for viewing and searching invoices.
6. Reporting and Analytics: Provide features to generate reports and analytics based on the extracted data. This can help track invoice trends, analyze inventory, or identify any discrepancies between invoices and labels.
Technology Stack:
Discuss with your developer the most suitable technology stack for implementing this web app. Some common technologies and tools for building such applications include:
- Front-end: HTML, CSS, JavaScript, and a framework like React or Angular.
- Back-end: Node.js or Python, along with frameworks like Express.js or Django.
- OCR: Libraries or services such as Tesseract.js, AWS Textract, or Google Cloud Vision API.
- Database: Choose a database system (e.g., PostgreSQL, MySQL, or MongoDB) for storing and retrieving invoice data.
Timeline and Budget:
Specify your desired timeline for development and deployment, and discuss any budget constraints or limitations with your developer. This will help in planning the project accordingly.
Remember to have detailed discussions with your developer to clarify any questions or concerns and ensure that they have a complete understanding of your requirements