AI-Based Receipt (Slip) Reading & Financial Tracking Platform (Mobile + Web)

@augurstech

A Warm Hello! We are readily available to start working on this project! We understand your goal clearly: a production-quality proof-of-concept that ingests receipts, invoices, and bank statements, extracts key fields (date, amount, vendor, line items), and stores them in a clean, queryable relational database—with a simple UI and strong code structure. We will build a modular, containerized OCR processing system with a clean separation between: - Document ingestion & preprocessing - OCR & data extraction layer - Parsing & normalization logic - Persistence layer (relational DB) - Minimal web interface This ensures the system is easy to extend later (CSV exports, integrations, analytics, etc.). We can start immediately and deliver a working PoC quickly, with room to iterate on accuracy and extend features afterward. Looking forward to collaborating with you. Best regards, Ana

@irsolutions

With over 10 years of experience in web and mobile development, specializing in AI/ML solutions, I understand the importance of creating an AI-Based Receipt Reading & Financial Tracking Platform like yours. Your project requirements align perfectly with my expertise in OCR, data extraction, and fintech solutions. In the past, I have successfully developed similar platforms for financial tracking and document management, ensuring accurate data extraction and seamless user experience. My track record in building efficient OCR modules and robust persistence layers will guarantee the creation of a reliable and user-friendly system for your needs. I am excited to discuss the architecture and timeline for your project, leveraging my skills and experience to deliver exceptional results within your budget and timeline. Let's chat further about how I can bring your vision to life and provide you with a top-notch solution that meets your expectations.

@Tanmoy236

Warm greetings! I specialize in OCR-driven data extraction systems that convert receipts, invoices, and bank statements into structured, queryable records. With 9+ years of experience in Python, OCR (Textract, Vision, Tesseract), and database design, I can deliver a clean, scalable proof-of-concept aligned with your MVP goals. Here's how I can help: * Build upload flow (drag-drop + preview) for images/PDFs * Integrate OCR stack and extract date, total, vendor, line items * Design normalized relational schema for clean querying * Develop parsing pipeline with validation for accuracy * Persist data and render results instantly in UI table * Containerize with Docker + clear setup documentation I’ll ensure modular architecture (OCR vs persistence), production-ready code, and fast deployment. Do you have a preferred OCR engine or should I benchmark accuracy across Textract, Vision, and Tesseract?

@shrec

Hello. Nice to meet you. I have experience building data extraction pipelines and integrating OCR services into structured systems, with a focus on accuracy, reliability, and clean architecture. I prioritize solutions that are not only functional but also easy to extend into production-ready platforms. Let’s discuss your preferred OCR provider and any sample documents you can share to fine-tune accuracy from the start. Best regards,

@Guptapuru304

Hello, We've thoroughly reviewed your project requirements for the AI-Based Receipt and Financial Tracking Platform. Your need for a robust proof-of-concept aligns perfectly with our expertise in AI and OCR technologies. Having developed a similar platform for automated invoice processing, we understand the intricacies involved in accurate data extraction and database management. Our experience with OCR engines like Google Vision and Tesseract ensures that we can deliver the precision you need. With over 8 years in AI-first product development, our team excels in crafting intelligent, scalable, and maintainable solutions. Our skill set spans from AI model integration to full-stack development, ensuring a seamless blend of technology and functionality. We've built secure, scalable systems using Django and FastAPI, perfect for your needs. We invite you to message us with more details. We promise a tailored proposal within 24 hours, addressing architecture and timeline specifics. Looking forward to potentially collaborating on this innovative project. Best regards, Puru Gupta Top 1% on Freelancer.com

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Proof-of-Concept for OCR Document Processing ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for a proof-of-concept for document processing. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in document OCR and data extraction. I will create a system that uses an OCR engine to extract key details from receipts, invoices, and bank statements, storing them in a structured database. ➡️ Why Me? I can easily create your document processing system as I have 5 years of experience in OCR technology and data extraction. My skills include working with Google Vision, AWS Textract, and Tesseract for accurate data retrieval. I also have a strong grip on web development and database management, ensuring a smooth and efficient workflow for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm eager to share how I can meet your needs effectively. ➡️ Skills & Experience: ✅ OCR Implementation ✅ Data Extraction ✅ Database Design ✅ Web Development ✅ API Integration ✅ Docker Deployment ✅ Python Programming ✅ Frontend Development ✅ Data Structuring ✅ Document Management ✅ User Interface Design ✅ Cloud Services Waiting for your response! Best Regards, Zohaib

@Julian29

EXPERIENCED OCR & DOCUMENT AUTOMATION DEVELOPER – PROOF-OF-CONCEPT READY I specialize in building lightweight, modular systems that convert unstructured documents into structured, queryable data—perfect for receipts, invoices, and bank statements. Proposed Approach: OCR Engine: Google Vision API for fast, accurate extraction; optionally AWS Textract or Tesseract if cost or offline processing is preferred. Parsing & Extraction: Modular Python/Node.js service that detects: • Date • Total amount • Vendor name • Line-item descriptions Persistence Layer: Relational database (PostgreSQL or MySQL) with a clean schema to allow queries and future CSV/JSON export. Minimal Web Interface: • Drag-and-drop or file picker for uploads • Thumbnail preview • Table showing parsed results in real time Architecture Highlights: Separation between OCR, parsing, and database modules Dockerised deployment for easy local/cloud launch Scalable design allowing batch uploads and future API integration Acceptance Criteria: Upload and parse PDF/image receipts, invoices, statements Accurate extraction of key fields Immediate persistence and UI display Containerised build with setup instructions are. I can start by reviewing your preferred document types to fine-tune extraction rules and deliver a working POC within a tight timeframe.

@n2rtechnologies

Hi, You need receipts + invoices automatically parsed into financial data—OCR + extraction is the hard part here. Quick question: are you targeting specific receipt formats (retail, invoices, bank statements), or building a universal parser? We've built similar extraction pipelines. Let's talk details. Best Regards, Hasan

@reedsystems

Hi, I'm excited to bid on your project! Here's what I propose: Overview My goal is to deliver a working proof-of-concept (PoC) that allows you to upload receipts, invoices, and bank statements and instantly turn them into structured records. The system will use OCR technology for document extraction, saving parsed data directly into a database. Core Features: - File Upload: A simple drag-and-drop zone or file picker. - Document Preview: Thumbnails and previews of uploaded documents. - Data Extraction: Auto-detection of date, total amount, vendor name, and item descriptions using OCR (Google Vision/AWS Textract/Tesseract). - Database Integration: Parsed data saved to a relational database with immediate visibility in the UI. Technical Details: - OCR Engine: I recommend AWS Textract for its robust accuracy. - Data Storage: Relational schema designed for ease of querying and scalability. - UI: Minimalist web interface for drag-and-drop uploads, previews, and parsed data display. - Code Quality & Separation: Clear separation between OCR module and persistence layer to ensure modularity and maintainability. Deployment: The application will be containerized using Docker for straightforward setup. Detailed setup instructions will be provided for local or small cloud instance deployments. Acceptance Criteria: 1. Upload image or PDF versions of receipts, invoices, and bank statements. 2. Automatic extraction of date & amount, vendor information, and item descriptions with high accuracy on legible documents. 3. Parsed data saved to a database and immediately visible in the UI. 4. Detailed setup instructions and containerized build for local or cloud deployment. Portfolio For more details on my previous work, please visit: https://www.freelancer.com/u/reedsystems Looking forward to discussing this further with you! Best, Reed

@melikatfz

Hi there, Regarding your project, a critical aspect many overlook is the seamless integration between the OCR engine and the database to ensure rapid data retrieval and accuracy. I employ a modular approach to deliver clean separation and efficient data handling, vital for your project's success. In a recent project, I implemented a similar solution using AWS Textract, achieving over 95% accuracy in data extraction, which speaks to my expertise in this domain. I include 30 days of post-deployment bug-fixing to ensure everything runs smoothly. What's your preferred OCR engine, or would you like a recommendation? Let's discuss how I can bring this concept to life.

@Hubready

... Hello! I am a Florida-based senior software engineer with extensive experience in building scalable solutions, particularly in AI and data processing. I carefully read your project description and understand you need a proof-of-concept for a platform that facilitates uploading receipts, invoices, and bank statements. With over 15 years in software development, I have the skills to deliver a robust system that not only processes data effectively but also provides a seamless user experience. My approach will involve creating a user-friendly interface for uploads, implementing OCR for accurate data extraction, and ensuring secure database management. Could you please clarify the following questions to help me better understand the project? 1. What specific features do you envision for the user interface and data visualization? 2. Are there any particular compliance standards or security requirements we need to consider? 3. What is your timeline for this proof-of-concept, and do you have any specific milestones in mind? I believe my background in AI model development and integration aligns perfectly with your needs, and I'm eager to contribute to a project that helps users manage their finances effectively. Let’s discuss how we can make this happen! Looking forward to your response. -James

@iosifpeterfi

Hi there - your goal to upload receipts, invoices, and bank statements and turn them into instantly queryable records will speed reconciliation and decision making. I'm Iosif Peterfi, 15+ years delivering web apps and CMS solutions across Europe. This is my speciality: turning unstructured financial documents into clean, structured data your team can trust. Portfolio: https://www.freelancer.com/u/iosifpeterfi I'll deliver a minimal web interface with drag-and-drop, a document thumbnail, and a simple results table. An OCR engine will run on upload to extract date, amount, vendor, and item descriptions, then persist the data into a clean relational schema. The OCR component and the persistence layer will be clearly separated to reduce risk and future-proof the solution. Deployment will be containerised with setup instructions so you can run locally or on a small cloud instance. This MVP focuses on outcomes: fast capture, reliable data, quick visibility, and a solid foundation for later CSV/JSON exports. Similar project: a European retailer asked for automated capture of supplier invoices and receipts. We achieved 92% accuracy on legible documents and cut manual data entry by more than 50%, with results visible in seconds in the UI. Let's chat - I can walk you through my approach in 15 minutes.

@mahig47

Hello! As per your project post, you’re looking to build an AI-based Receipt and Financial Document Reading Platform that converts receipts, invoices, and bank statements into structured, queryable records. The goal is to create a proof-of-concept that demonstrates accurate OCR extraction, clean data storage, and an easy-to-use interface for uploading and previewing documents, all while maintaining modular, deployable, and maintainable code. My focus will be on delivering a complete platform featuring: an OCR module capable of extracting key fields (date, total, vendor, items) from multiple document types, a relational database backend to store parsed data, and a lightweight web interface for uploading and reviewing results. The platform will ensure clear separation between OCR processing and data persistence, support batch uploads, and allow straightforward future expansion for exports or analytics. I specialize in AI-driven document processing and financial automation solutions, with experience in OCR integration, structured data pipelines, and cross-platform web applications. My focus will be on shaping your proof-of-concept into a reliable, queryable system that can later scale into full reporting, export, and analytics features. Let’s connect to discuss the document flow, OCR approach, and the best way to turn your concept into a functional, structured financial tracking platform. Best regards, Nikita Gupta.

@FizzaNadeemK

Hi, I understand you need a working proof-of-concept for an OCR system that extracts structured data from receipts, invoices, and bank statements and saves it into a database. I’ll use a reliable OCR engine (like Google Vision or AWS Textract) to accurately extract key data, such as date, amount, vendor, and item descriptions—and save it into a clean, queryable relational database. The interface will include simple file upload functionality with a table showing parsed results. I’ll ensure clear separation between the OCR and persistence layers, and provide setup instructions in a containerized build for easy deployment. Let’s discuss the tech stack and timeline to move forward. Best Regards, Fizza Nadeem K.

@amaank66

Hello, We can build a robust **OCR-based proof-of-concept** that converts receipts, invoices, and bank statements into clean, queryable structured data with a strong focus on accuracy and architecture. At CUBEMOONS PVT LTD, we specialize in **document processing systems and data extraction pipelines** with scalable, modular design. **Proposed Architecture:** • OCR Engine: AWS Textract / Google Vision (recommended for higher accuracy) • Backend: Python (FastAPI) with clear separation of OCR, parsing, and persistence layers • Database: PostgreSQL with normalized schema (documents, vendors, transactions, line items) • UI: Minimal web interface with drag-drop upload, preview, and parsed data table **Core Features:** • Upload PDFs/images → instant OCR + structured extraction • Detection of date, total amount, vendor, and item-level details • Immediate database storage and UI visibility • Clean modular code for future export (CSV/JSON) and scaling **Delivery:** • Fully working MVP (Dockerized for easy local/cloud deployment) • Well-structured, maintainable codebase • Setup guide + API documentation We ensure a **production-ready foundation** that you can confidently build upon for fintech-grade workflows. Let’s discuss sample documents and finalize the OCR approach. Best regards, Amaan Khan P. CUBEMOONS PVT LTD.

@ixorawebmob

Hello, I’ve gone through your project details, and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, working with Flutter, Android, iOS, React, Node.js, and APIs. I specialize in creating scalable solutions, focusing on clean architecture and clear communication to ensure smooth project management. For your AI-based receipt reading and financial tracking platform, I recommend using technologies like Google Vision or AWS Textract for effective data extraction. I will ensure a clear separation between the OCR module and the persistence layer, using Docker for straightforward deployment. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: What specific features would you like to prioritize for the MVP? Let’s discuss over chat! Regards, Arpit Jaiswal

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@Friends4it

Hi, I understand you need a proof-of-concept platform that uploads receipts, invoices, and bank statements, instantly extracting key data points with OCR, and storing them in a queryable database. Your focus on code quality, clear module separation, and containerized deployment perfectly matches my expertise. I will implement a robust OCR solution using AWS Textract for its accuracy and flexibility, combined with a clean React web interface featuring drag-and-drop upload, preview, and data display. The parsed results will be saved in a structured relational database with a clear API layer. I’ve built fintech data extraction tools before and can deliver a Dockerized MVP for easy deployment. The project can be completed in 21 days with setup instructions included. Let’s discuss your preferred OCR stack and database choice. Which OCR technology do you prefer, or are you open to recommendations based on your data types? Best regards, Muhammad

@SkillCrafts

I recently built a specialized OCR pipeline for a FinTech startup that automated expense reporting with high accuracy, so I understand the challenges of parsing low-quality receipt images and complex statement layouts. For your PoC, the core objective is transforming raw visual data into structured, actionable financial insights without manual intervention. I can leverage my deep background in building mobile-first capture tools and cloud-resident AI engines to ensure the platform provides immediate utility and a professional-grade user experience that feels like a polished product. By focusing on high-fidelity data extraction that distinguishes between tax, line items, and merchant metadata, I will ensure the system scales effectively from the first upload. My strategy centers on a React Native mobile app for seamless capture and a React-based web dashboard for analysis, both connected to a robust Python/FastAPI backend. I will utilize AWS Textract or Google Document AI for the initial OCR layer, but I’ll augment this with a custom LLM-based post-processor to intelligently map line items and merchant names into a unified PostgreSQL schema. This hybrid architecture ensures even non-standard invoices are correctly categorized while maintaining high performance. Secure S3 storage and AES-256 encryption will ensure all uploaded documents remain private and compliant with standard financial data handling practices, providing a secure foundation for the platform’s tracking logic. To tailor this PoC specifically to your vision, are you prioritizing real-time categorization for personal budgeting, or should we focus more on business-ready tax reconciliation features? Additionally, do you intend to support PDF-to-CSV exports for external accounting software in this initial build? I am available for a quick call or a chat to discuss the architectural nuances and can provide a detailed milestone breakdown once we align on the specific document types you want to prioritize. Let’s connect to finalize the scope and start building this proof-of-concept.