Backend Developer for MVP Document Management System

@leadconcept

Hello, I understand you need a backend developer to build an MVP document ingestion and query system that accepts images, PDFs, and text, extracts raw text via OCR, stores structured records in PostgreSQL, and exposes a clean REST API for querying. The focus is on infrastructure, maintainable code, and extensibility. A few clarifications, 1. Should uploaded documents be processed immediately or queued for batch OCR processing? 2. Any preferred OCR solution or open to Tesseract, AWS Textract, or Google Vision? 3. Should the simple admin/testing interface include file uploads and query previews, or only API endpoints? Our team has extensive experience building APIs, PostgreSQL schemas, file ingestion pipelines, and OCR integrations. We focus on clean, documented code, scalable architecture, and a RESTful API with OpenAPI/Swagger documentation. We can deliver the backend MVP with file storage (local or S3-compatible), OCR integration, structured database records, query endpoints, and optional admin/testing interface. The current bid is a placeholder to submit the proposal. Regards Yasir LEADconcept PS: I can share examples of backend ingestion pipelines and APIs we have developed with OCR and structured record querying.

@corpmember29

KUK1 Hello, I am a backend developer with 10+ years of experience in Python (FastAPI), PostgreSQL, REST API design, and document ingestion pipelines. I have previously built similar systems involving file uploads, OCR integration, structured data storage, and queryable APIs, which I can demonstrate. My approach will be infrastructure-first: design a clean PostgreSQL schema for document “cards,” build a well-documented REST API with OpenAPI, integrate a reliable OCR solution, and implement secure file storage (local or S3-compatible). The system will be modular, extensible, and easy to maintain, with optional admin/testing endpoints. I WILL PROVIDE 2 YEAR FREE ONGING SUPPORT AND COMPLETE SOURC CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STOIRES I will deliver clean, documented code, follow an agile workflow, and align development strictly with your backend infrastructure goals. I eagerly await your positive response. Thanks.

@tadinhkien

Ref: KUK1 Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@teodorgeorge

Hello Igor, Ref: KUK1. I have experience building backend systems that handle document ingestion, OCR text extraction, and database management. I would start by designing a clean REST API and a robust PostgreSQL schema to efficiently store and query document records. I prefer Python with FastAPI for its speed and clarity, integrating a reliable OCR library like Tesseract for text extraction, and using S3 for file storage. This approach prioritizes maintainable and well-documented code, ensuring a strong foundation for your MVP backend. I’m happy to discuss more detailed specs and answer any questions you might have. Thanks, Teo

@softsolution2000

Ref: KUK1. With my expertise in Python, SQL, OCR, Node.js, and PostgreSQL, I am well-equipped to handle the Backend Developer for MVP Document Management System project. My experience includes developing APIs, databases, and ingestion pipelines. I am confident in my ability to design a REST API, implement a PostgreSQL database schema, integrate an OCR solution, and provide clean, maintainable code. I am eager to discuss the project scope and adjust the budget accordingly. Please review my profile for my extensive experience. Looking forward to hearing from you.

@DeveloperStation

Hi Igor, We’ve built similar MVPs that extract data from documents and convert it into structured records. For example, we developed a product that extracts invoices and receipts, converts them into structured data, and integrates with accounting software like QuickBooks and Xero. We can use a combination of libraries like Tesseract and Azure OCR, along with custom-trained models, to achieve high accuracy in text extraction. We also have extensive experience with PostgreSQL and can implement advanced features like full-text search and vector search. Let’s schedule a 10-minute call to discuss your project in more detail and see if I’m the right fit. I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best, Adil

@kareemmaize

KUK1 I understand you’re looking to build a clean, extensible backend foundation for a document ingestion and query MVP, with reliability and maintainability as the priority. I’ve built infrastructure-focused systems using FastAPI, PostgreSQL, and OCR pipelines for PDFs/images, including secure file storage and well-documented REST APIs. I’d design a clear schema for “cards,” integrate a proven OCR library/service, and expose query endpoints with OpenAPI docs—keeping everything simple and extensible for later phases. You can also review my portfolio to see similar backend and ingestion systems I’ve delivered. Happy to discuss scope and start quickly. Kind regards.

@ASSAMWEB

Greetings, I have read the project description I have been working on a similar project in recent time "DMS" I am interested in the work open a chat to discuss requirements in details.

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in backend development, particularly in building robust APIs and managing SQL databases. My technical expertise encompasses implementing RESTful APIs, designing PostgreSQL database schemas, and integrating OCR solutions to extract and store structured document records efficiently. Moreover, I prioritize clean, maintainable code to ensure scalability and ease of maintenance for your project. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@trm66614

Hi there,Good morning I am Talha. I have read you project details i saw you need help with FastAPI, PostgreSQL, Backend Development, API Development, RESTful API, Documentation, Node.js, SQL, OCR and Python I am writing to propose an innovative approach to tackle your project. Our proposal centers on delivering creative and effective solutions that will set your project apart. We will present fresh, out-of-the-box ideas that align with your project's objectives, demonstrating how we can achieve remarkable results. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@Julian29

Hello, KUK1 With 9+ years of experience in backend development, I understand the critical need to build a scalable, extensible infrastructure for your document ingestion and querying system. This project will focus on creating a robust backend foundation, ensuring seamless file uploads, OCR integration, and querying capabilities. -->> Design and implement a REST API for document ingestion and querying -->> PostgreSQL database schema for structured document storage -->> OCR integration (with a reliable service or library of your choice) -->> File storage via S3-compatible services for easy scalability -->> Thorough API documentation using OpenAPI/Swagger I’ll prioritize clean code, scalability, and easy maintainability, ensuring your backend is ready for future expansions. Let’s discuss the tech stack in detail and how we can move forward.

@JijoThomas2020

KUK1 – Hi, I’m an experienced backend developer with strong hands-on experience building OCR-based document ingestion pipelines, and I’m interested in helping you deliver a clean, extensible MVP for this system. Relevant Experience • OCR pipelines for PDFs, scans, and images (Python-based) • Pre-processing (deskewing, denoising, binarization) to improve OCR accuracy • Text extraction and normalization into structured records • REST APIs for ingestion and querying • PostgreSQL schema design for document-centric systems Preferred Tech Stack • Backend: Python + FastAPI • Database: PostgreSQL • OCR: Tesseract / PaddleOCR / EasyOCR (depending on accuracy and scale needs) • Storage: Local or S3-compatible • API Docs: OpenAPI / Swagger (built-in with FastAPI) Approach 1. Design a clean API for document upload and record querying 2. Define a normalized PostgreSQL schema for documents and “cards” 3. Integrate OCR with a clear processing pipeline and error handling 4. Store raw text and structured fields separately for flexibility 5. Provide documented endpoints and basic admin/testing utilities I’m comfortable keeping this phase strictly infrastructure-focused and ensuring the backend is easy to extend in later iterations. Happy to discuss detailed specs and scope. Best regards, Jijo

@mykhaylob4

✋ Hi there. Ref: KUK1. I can build your MVP document ingestion and query system with a clean, extensible backend that handles uploads, OCR, structured storage, and querying efficiently. ✔️ I have solid experience developing REST APIs with FastAPI and Node.js, designing PostgreSQL schemas, integrating OCR pipelines, and handling file storage with local or S3-compatible solutions. I have delivered backend systems for document management, record ingestion, and structured querying with clean, maintainable code and full OpenAPI documentation. ✔️ For your project, I will implement a REST API to accept images, PDFs, and text files, extract raw text via a reliable OCR solution, store structured “cards” in PostgreSQL, and allow querying by type, domain, status, or entity. I will also provide optional admin/testing endpoints to verify ingestion and queries. ✔️ All code will be documented, modular, and easy to extend for future frontend integration or additional features. Let’s discuss your preferred OCR library, storage setup, and timeline to get this MVP up and running. Best regards, Mykhaylo

@rosscarter1011

KUK1. Hello, I am an experienced backend developer ready to build the robust MVP for your document ingestion and querying system, focusing strictly on a scalable infrastructure foundation. My background includes extensive work on REST APIs, efficient PostgreSQL database design, and secure ingestion pipelines for various platforms. I am highly proficient in Python (FastAPI) and Node.js, and will utilize your preferred stack of Python (FastAPI) and PostgreSQL. My approach involves designing a clean API, implementing a well-structured PostgreSQL schema, integrating a reliable OCR solution, and handling file storage (local/S3 compatible). I will deliver clean, documented, and maintainable code suitable for future expansion. This project aligns perfectly with my expertise in core backend development.

@albertc1996

Hello, Based on your description, this project is about building a clean and extensible backend foundation rather than a feature heavy product. The real value here is in designing a reliable ingestion and querying pipeline that can evolve without rework. Before moving forward, I would like to clarify one point: Do you expect document ingestion to be synchronous for the MVP, or is asynchronous processing acceptable from the start? I understand the system requirements as follows: Uploaded documents such as images or PDFs are processed through OCR, raw text is extracted, structured records are stored in a relational database, and those records are exposed through a well defined REST API for querying. My approach would focus on clarity, separation of concerns, and future extensibility. This includes: • Designing a clear REST API using FastAPI or Node.js with OpenAPI documentation • Designing a normalized PostgreSQL schema for document records and metadata • Integrating a reliable OCR solution suitable for MVP scale • Handling file storage using either local storage or an S3 compatible service • Writing clean, documented, and maintainable code that is easy to extend This phase would remain strictly infrastructure focused, with no AI logic, no interpretation layer, and no frontend product work beyond basic admin or testing endpoints if needed. I have experience building backend systems involving document ingestion, APIs, and database driven services. My preferred stack for this project would be FastAPI with PostgreSQL, but I am flexible if Node.js is preferred. If this understanding matches your expectations, I would be happy to discuss detailed specifications and confirm scope. Thank you for your time.

@sekai1116

KUK1 — Hello, ✅ Nice to meet you here ✅ I’m an experienced backend developer and can help you build a clean, extensible MVP for your document ingestion and querying system with a strong focus on infrastructure, reliability, and maintainability. I would approach this by designing a well-structured REST API and a normalized PostgreSQL schema to store extracted document records (“cards”) efficiently. For ingestion, I can integrate a proven OCR solution (such as Tesseract or a managed OCR service, depending on your needs) and handle document storage using either local storage or an S3-compatible setup. The backend will be implemented in Python (FastAPI) or Node.js, with clear separation of concerns so the system can scale and evolve beyond the MVP. You’ll receive clean, well-documented code, OpenAPI/Swagger documentation for the API, and a backend foundation that’s easy to extend. If helpful, I can also include a simple admin/testing interface for validation during this phase. I’m happy to share relevant API and ingestion pipeline work, confirm the preferred stack, and outline a clear scope and timeline once we discuss the detailed specifications. Best regards, Jiayin

@ianb65

Hi, there! My name is Ian Brown, and I’d be happy to help with your project. I can provide a clean, reliable solution tailored to your needs, keeping everything simple, efficient, and easy to use. My goal is to streamline your workflow, save time, and deliver results that fit smoothly into your existing process. I’m ready to jump in and help make your project run as smoothly as possible!

@OsamaTnt

KUK1 .. Hi, I can build the backend for you in short period of time, I would use the following tech stack: - NodeJS + NestJS, with scalable module architecture, so you can add more features easily in future, - Database I do suggest MongoDB, since its dynamic and tested to be one of the best performance dbs. - I will provide a POSTMAN API file, so you can import it, and we do the test together after the endpoints are ready, - Will help you deploy it on your own VPS (server) and take care of the configuration and setups. Send me a message, let's talk. BR.

@xuezhe315

KUK1 — I’ve carefully read your full description and this MVP aligns very well with my background in building clean, infrastructure-first backend systems. I’m a senior backend developer with strong experience designing document ingestion pipelines, REST APIs, and PostgreSQL-backed data models that are built to scale and remain easy to extend. My focus is always on clarity, correctness, and maintainability. How I would approach this project: Design a clear PostgreSQL schema for your “card” records, optimized for querying by type, domain, status, and entity. Build a RESTful API using FastAPI (preferred) or Node.js, with strict request/response models and full OpenAPI/Swagger documentation. Implement a reliable document ingestion flow: Upload handling (PDF, images, text) OCR integration (e.g., Tesseract, AWS Textract, or another proven service depending on your needs) Normalization and structured storage of extracted text Set up file storage (local for MVP or S3-compatible) with clean separation from business logic. Deliver well-documented, readable code with clear module boundaries so future features (search, enrichment, permissions) can be added safely. If useful, include a minimal admin/testing interface or scripted tooling for validation. I’m very comfortable working on infrastructure-only phases and appreciate the clear scope—no AI prompting, no interpretation, no frontend product work. Looking forward to discussing next steps.