You will get an automated Bank Statement parser application
Project details
By leveraging my expertise in Python and document processing, this project offers a robust and efficient solution for automating bank statement parsing. Unlike OCR-based solutions, it leverages metadata for higher accuracy and avoids scanned document issues. the parser will eliminate the need for manual data entry and OCR.
What Makes This Project Stand Out:
◽ By leveraging metadata extraction instead of OCR, this parser ensures higher accuracy and avoids potential issues with scanned documents.
◽ Tailored to the most common bank statement formats, the parser offers immediate value to a large client base.
◽ Utilizing Python's powerful libraries, this project delivers a scalable and adaptable solution.
◽ The emphasis on accurate data extraction minimizes errors associated with manual processing and ensures reliable financial data.
Benefits:
◽ Eliminate manual data entry: Save time and resources.
◽ Boost accuracy: Reduce errors from manual processing.
◽ Native PDF focus: Ensures reliability with native documents.
◽The parser can handle increasing volumes of bank statements with ease.
What Makes This Project Stand Out:
◽ By leveraging metadata extraction instead of OCR, this parser ensures higher accuracy and avoids potential issues with scanned documents.
◽ Tailored to the most common bank statement formats, the parser offers immediate value to a large client base.
◽ Utilizing Python's powerful libraries, this project delivers a scalable and adaptable solution.
◽ The emphasis on accurate data extraction minimizes errors associated with manual processing and ensures reliable financial data.
Benefits:
◽ Eliminate manual data entry: Save time and resources.
◽ Boost accuracy: Reduce errors from manual processing.
◽ Native PDF focus: Ensures reliability with native documents.
◽The parser can handle increasing volumes of bank statements with ease.
Programming Languages
PHP, JavaScript, PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 20 days | 30 days |
Number of Revisions | 2 | 5 | Unlimited |
Number of Pages | 50 | 100 | 2000 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Per additional bank
(+ 2 Days)
+$100Frequently asked questions
About Mohammad Abdullah
Data Extraction & Process Automation Expert
Dhaka, Bangladesh - 6:28 pm local time
Automate document processing with my 10+ years of experience and cutting-edge AI solutions.
With a proven track record of 25+ successful projects, I leverage OCR, ICR, Computer Vision, Machine Learning, and Open-Source AI to deliver accurate and efficient document digitization across industries. My strong technical and communication skills, combined with a robust work ethic, allow me to analyze workflows, pinpoint bottlenecks, and design custom solutions that consistently exceed expectations.
◼ Areas of Focus:
◻ Business Process Automation (BPA)
◻ Intelligent Document Processing (IDP)
◻ Robotic Process Automation (RPA)
◻ Intelligent Process Automation (IPA)
◻ Document Management System (DMS)
◻ Physical Records Management System (PRMS)
◼ Services Offered: I offer development of intelligent processing software for various document types, including:
◽ Structured Documents: Surveys, questionnaires, tests, claim forms
◽ Semi-Structured Documents: Invoices, purchase orders, bills of lading, explanation of benefits
◽ Unstructured Documents: Contracts, letters, articles, memos
◽ Exported Data: Machine printed, hand printed, barcodes, signatures, check boxes
◽ Financial Documents: Invoices, bank statements, purchase orders, receipts, utility bills, insurance claims, KYC forms, tax documents, etc.
◼Technical Skills:
◽ Programming Languages: Python, Node.js, C#
◽ AI & Machine Learning: TensorFlow, PyTorch, Deep Learning, Model Tuning
◽ Computer Vision: OpenCV, Facial Recognition, Text Recognition
◽ NLP & Chatbots: ChatGPT, OpenAI Assistants API, Prompt Engineering
◽ Cloud & Deployment: AWS, Azure, Google Cloud
◽ Web Development: React.js, Flask API
◽ Data Processing: Web Scraping, Selenium
◽ Data Science & Modeling: Deep Learning Modeling, Model Optimization
Soft Skills:
📝 Problem-Solving: Identify bottlenecks and devise creative solutions for complex workflows.
📢 Communication: Translate technical concepts into clear, actionable plans for all stakeholders.
📊 Project Management: Manage projects effectively from inception to deployment.
🔄 Adaptability: Stay ahead of the curve by integrating new AI technologies seamlessly.
What Sets Me Apart?
✔ Exceptional Quality: Deliver accurate, reliable results that exceed client expectations.
✔ Transparent Pricing: No hidden fees, just clear and upfront costs.
✔ Effective Communication: Break down complex concepts into clear, actionable plans.
✔ Enterprise-Level Support: Leverage a dedicated team of AI and process automation experts.
Here's how it works:
◻ Our team of specialists collaborate to ensure you receive the most comprehensive and effective solution for your document processing needs.
◻ You avoid the high costs associated with hiring individual consultants, as you gain access to a collective pool of experience.
◻ We leverage our streamlined processes to deliver exceptional value, maximizing your return on investment.
By partnering with me, you gain not just an individual expert, but a dedicated team of experts passionate about empowering your document processing success. 😊
— Let's Talk!
Steps for completing your project
After purchasing the project, send requirements so Mohammad Abdullah can start the project.
Delivery time starts when Mohammad Abdullah receives requirements from you.
Mohammad Abdullah works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation
◽ Discuss the project scope, goals, and deliverables with the client. ◽ Review the provided bank statement samples and technical specifications.
Parser Development
◽ Analyze the format of bank statements for each of the 25 banks. ◽ Develop individual Python scripts for parsing each bank’s statements. ◽ Test scripts to ensure accurate data extraction.