High-Speed Bank Statement PDF Converter Backend
Budget: ₹1,500 – ₹12,500 INR
Job Title: Backend Developer for Fast & Accurate Bank Statement PDF Data Extraction
Description:
I am developing a web application and have completed the frontend. I need a skilled developer to implement the backend functionality for a simple but high-performance bank statement PDF converter.
Project Overview:
The core functionality involves extracting data from bank statement PDFs with the following key requirements:
High speed: The data extraction must be very fast, even for large PDF files.
100% accuracy: Extracted data must be precise without errors.
Scalability: The solution should handle large PDFs with many pages and process a high volume of documents reliably.
Responsibilities:
Develop backend functionality to parse and extract structured data from bank statement PDFs.
Ensure the extraction logic handles various bank statement formats robustly.
Optimize for performance and accuracy.
Integrate the backend with the existing frontend (API endpoints or other communication methods).
Provide documentation or notes on usage and limitations.
Skills Required:
Strong experience with PDF parsing and data extraction libraries/tools (e.g., PyPDF2, pdfminer, Apache PDFBox, or others).
Proficiency in backend development (Node.js, Python, Java, or preferred language).
Experience optimizing for speed and accuracy in data processing tasks.
Ability to handle large files efficiently.
Attention to detail and commitment to delivering error-free results.
Additional Info:
The frontend is already done, so your focus is on backend functionality.
Clear and maintainable code is preferred.
Communication during the project is important to clarify requirements and progress.
Description:
I am developing a web application and have completed the frontend. I need a skilled developer to implement the backend functionality for a simple but high-performance bank statement PDF converter.
Project Overview:
The core functionality involves extracting data from bank statement PDFs with the following key requirements:
High speed: The data extraction must be very fast, even for large PDF files.
100% accuracy: Extracted data must be precise without errors.
Scalability: The solution should handle large PDFs with many pages and process a high volume of documents reliably.
Responsibilities:
Develop backend functionality to parse and extract structured data from bank statement PDFs.
Ensure the extraction logic handles various bank statement formats robustly.
Optimize for performance and accuracy.
Integrate the backend with the existing frontend (API endpoints or other communication methods).
Provide documentation or notes on usage and limitations.
Skills Required:
Strong experience with PDF parsing and data extraction libraries/tools (e.g., PyPDF2, pdfminer, Apache PDFBox, or others).
Proficiency in backend development (Node.js, Python, Java, or preferred language).
Experience optimizing for speed and accuracy in data processing tasks.
Ability to handle large files efficiently.
Attention to detail and commitment to delivering error-free results.
Additional Info:
The frontend is already done, so your focus is on backend functionality.
Clear and maintainable code is preferred.
Communication during the project is important to clarify requirements and progress.
Related categories:
PHP
Python
Software Architecture
MySQL
Node.js
JSON
Data Extraction
Backend Development