Build AI-Powered Accounting Document Processing Platform (Similar to Dext / AutoEntry)

Build AI-Powered Accounting Document Processing Platform (Similar to Dext / AutoEntry) PROJECT OVERVIEW We are an accounting and audit firm based in UAE looking to build a web-based SaaS platform that automates accounting data extraction from documents using AI. The platform should allow users to upload invoices, receipts, supplier bills, bank statements, and other accounting documents in PDF, image, Excel, or scanned formats. The system should extract data automatically using AI/OCR, provide confidence scores, allow human review and correction, and synchronize approved transactions with accounting software such as QuickBooks Online. IMPORTANT REQUIREMENT Please apply ONLY if you have already built a similar AI document processing, OCR, bookkeeping automation, invoice processing, AP automation, or accounting workflow platform. Applications without relevant examples, live demos, GitHub repositories, or case studies will be ignored. REQUIRED FEATURES Phase 1 (MVP) 1. User Management * Admin login * Staff login * Client login * Role-based permissions 2. Document Upload * PDF upload * Image upload * Drag-and-drop interface * Bulk upload 3. AI Data Extraction * Supplier name * Invoice number * Date * VAT amount * Total amount * Currency * Line items * Bank transactions 4. Confidence Scoring * AI confidence percentage * Highlight low-confidence fields 5. Review Dashboard * Side-by-side document and extracted data * Edit and approve workflow * Audit trail 6. Export Options * Excel * CSV * PDF 7. QuickBooks Online Integration * Customer mapping * Supplier mapping * Chart of accounts mapping * Transaction posting 8. Client Dashboard * Upload status * Processing status * Approval status TECHNICAL REQUIREMENTS Preferred Stack: * React / Next.js * Python * FastAPI * PostgreSQL * OpenAI API / Claude API * AWS or Azure Please propose a better stack if appropriate. APPLICATION REQUIREMENTS To be considered, please provide: 1. Links to similar systems you have built. 2. Your exact role in those projects. 3. Technology stack used. 4. Team size. 5. Estimated development timeline. 6. Fixed-price quote. 7. Ongoing maintenance cost estimate. 8. AI/OCR provider recommendation. 9. Scalability recommendations. 10. Live demo if available. Please begin your proposal with the phrase: "I HAVE BUILT A SIMILAR AI DOCUMENT PROCESSING SYSTEM" Applications without this phrase will be automatically rejected. DELIVERABLES * Complete source code * Deployment documentation * API documentation * Testing documentation * Ownership transfer * 90-day bug support TIMELINE MVP Target: 6–10 weeks Budget: Please provide fixed-price quotation.