Cross-Platform Hospitality Workflow App

@OutsourceMan

Hi, We'd build this as an OCR-first cross-platform workflow app, keeping document capture, verification, and structured exports reliable across iOS, Android, and the web from a single codebase. Our methodology: Build a Flutter-based app with camera capture, PDF/JPEG upload, and PWA support for web. Integrate a proven OCR engine to extract text, numeric fields, and document content with a structured parsing layer. Create a role-based verification workflow (Submit → Verify → Approve) where extracted data can be edited before being finalized. Generate JSON exactly to your schema, with CSV and optional PDF exports plus email/folder delivery. Keep the architecture modular so additional document types and workflow stages can be added later. Validate OCR accuracy, cross-platform compatibility, exports, and end-to-end workflow before handover. You'll receive complete source code, deployment documentation, and a smooth handover with full ownership.

@corpmember29

Hello!! I have carefully reviewed your cross-platform hospitality workflow requirements and understand the complete OCR-to-approval workflow. I have 10+ years of experience in the required technologies and can build a single codebase application for iOS 16+, Android 11+ , and Web using Flutter with a scalable backend. I can implement document capture/upload, high-accuracy OCR, text/numeric/image extraction, role-based verification and approval, JSON/CSV/PDF exports, email delivery, and workflow tracking. I will structure the OCR pipeline around your BEO templates and validate accuracy against your required 95% target and JSON schema. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. I am available according to your convenient time zone and can start immediately. I eagerly await your positive response. Thanks, Christina

@starttechno

For your BEO workflow, I would build a single React Native application with React Native Web/PWA support, allowing staff to capture documents by camera, drag-and-drop, or file picker across iOS 16+, Android 11+, and current desktop browsers. A Laravel API with secure storage will handle document processing, workflow state, permissions, and export generation. I’ll use a proven OCR service with image preprocessing, template-aware field extraction, numeric validation, and embedded-image handling. Each result will open in an editable verification screen, with clear submit, verify, and approve roles before the record is locked. The export layer will map data exactly to your supplied JSON schema, with CSV and optional PDF summary delivery or folder storage. I’ll first implement the capture and OCR pipeline, then the verification and role workflow, followed by exports, cross-platform testing, and deployment documentation. I’ll benchmark accuracy against your standard BEO templates and include all source code, build scripts, ownership handover, and a recorded walkthrough. The work will be delivered through clearly defined milestones. Can you provide a few representative BEO templates and the JSON schema for the initial OCR accuracy test? Muhammad Saad

@naminghn

Hi there, I can develop the cross-platform hospitality workflow app using a robust framework like React Native or Flutter. My approach will ensure seamless integration of OCR functionalities for capturing and verifying Banquet Event Orders. Given your requirements on OCR accuracy and multi-platform deployment, I would like to discuss the specific OCR library you prefer, whether it's Tesseract or Google Vision, to achieve the best results. Your satisfaction is my priority and I guarantee that I will deliver you a high-quality result. Regards, Ali

@AnumFatima210

Hi, I'm interested in your project "Cross-Platform Hospitality Workflow App". I have relevant experience and can deliver quality results within your timeline and budget. I'd love to discuss the details. Please feel free to reach out.

@mehboobkatiyar

Hi, I can build this as a **single-codebase Flutter application** for iOS, Android, and Web, with document capture/upload, OCR extraction, editable verification, role-based approval flow, and JSON/CSV/PDF export. For OCR, I’d recommend **Google Vision or Azure Document Intelligence** for higher accuracy on structured BEO templates, with a backend API to map extracted data exactly to your supplied JSON schema. I can deliver the project in clear fixed-price milestones, including source code, deployment setup, documentation, and walkthrough video. Best, Mehboob

@vladang

BEO accuracy depends on template consistency, scan quality, and field-level validation—not OCR alone. The verification screen should flag low-confidence text and numbers before approval, while preserving embedded document images separately. I’d build one Flutter codebase for iOS 16+, Android 11+, and web, with a dedicated OCR service and role-based submit, verify, and approve states. Before committing to an engine, I’d benchmark Google Vision, Azure Document Intelligence, or Tesseract against your real BEO samples. Milestones would cover capture, the 95% accuracy benchmark, verification and routing, schema-perfect JSON/CSV/PDF export, then deployment, source, documentation, and walkthrough video. Licensing and service costs would be documented upfront. Could you share 3–5 representative BEO files and the target JSON schema so I can outline the architecture and fixed milestones?

@pinkeegupta

Hi I have read your requirements and I am sure I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@denisSolution

Hello, This sounds like a solid document workflow problem where accuracy and cross-platform reliability are key. The main challenge is balancing OCR quality with a smooth verification stage, especially across mobile and web. I’ve built similar systems where scanned forms needed reliable extraction before entering a review pipeline. A single codebase using React Native or Flutter would keep the UI consistent while handling camera capture and OCR cleanly. Tesseract or Google Vision would fit the accuracy needs, with fallback logic for skewed scans or low-light photos. The verification stage should enforce role-based access without locking users into rigid flows—edits and approvals need to be traceable but flexible. Exporting to the exact JSON schema will require careful mapping during OCR tuning, and the PDF summary should mirror the verification screen to avoid mismatches. The biggest unknowns are usually the template variations in BEOs and how strict the OCR must be for edge cases like handwriting or tight layouts. We’d test those early with sample documents before locking in the final pipeline. I can start working right away. Let's connect and discuss the details. Thanks, Denis.

@Eliteinno

hello, The piece that decides whether this whole app succeeds is your 95 percent OCR accuracy target, and it is worth being straight that hitting that reliably means the engine choice matters more than anything else, because a general OCR like raw Tesseract struggles on real-world scanned and photographed documents with varied lighting and layouts, whereas a trained service like Google Vision or Azure Form Recognizer is what actually reaches that accuracy on structured forms. Better still, since your BEOs are standard templates, the accuracy jumps when the extraction is template-aware, pulling known fields from known positions rather than reading the page blind, so I would build around your specific BEO layout to hit that 95 percent consistently rather than hoping generic OCR gets there. That is why the verification stage you designed is so important, since no OCR is ever perfect, so the editable review screen where a person confirms or corrects before data locks in is what makes the output trustworthy, and the role-based submit, verify, approve flow is exactly the right control for operational paperwork. I would build that as the safety net so accuracy plus human confirmation together guarantee clean data. A single codebase in Flutter or React Native gives you iOS, Android, and web from one build, with the OCR running server-side so the heavy processing is consistent across all three platforms, and the export conforming exactly to your JSON schema as the acceptance requires. Do your BEOs follow a consistent template layout, since that lets me build template-aware extraction that comfortably beats the 95 percent bar rather than relying on generic OCR? And are the documents mostly clean digital PDFs, or photographed scans with variable quality, since that heavily shapes the OCR approach? have a nice day.

@BarryCrouch

Hello, The 95% accuracy target for Banquet Event Orders is the primary technical hurdle, as standard OCR struggles with the varied table structures and handwritten notes common in hospitality. I recommend using Azure Form Recognizer’s custom model training, which allows us to teach the system your specific BEO layout rather than relying on generic text extraction. For the cross-platform layer, React Native with Expo provides the fastest path to iOS, Android, and Web PWA while maintaining a single codebase for the verification workflow. This ensures the "capture-verify-export" loop remains consistent across all devices. Do you have a historical dataset of at least 20 labeled BEOs available to train the initial custom OCR model?

@toriquldev123

Hello There! I’m Md Toriqul Islam, an experienced full-stack and cross-platform developer specializing in Flutter, React Native, OCR integrations, document processing, APIs, and workflow automation. I understand you need a single-codebase iOS, Android, and web application for capturing BEO documents, extracting text, numbers, and images through OCR, providing role-based verification, and exporting validated data as JSON/CSV or PDF. I’m skilled in Flutter, React Native, OCR APIs, document processing, REST APIs, role-based workflows, JSON/CSV generation, and cross-platform deployment, making me confident I can deliver a maintainable solution. I’m ready to discuss your BEO templates, OCR engine, JSON schema, milestones, testing requirements, and fixed-price scope. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@FizzaNadeemK

Hello, I can build a cross-platform OCR workflow application for iOS, Android and web, covering document capture, high-accuracy extraction, editable verification and role-based approval workflows. I’ll structure the OCR around your BEO templates, extract text, numbers and images, and produce the required JSON/CSV or PDF outputs. I’ll also ensure the application is maintainable, secure and deployment-ready, with complete source code, build instructions and a walkthrough included for a smooth handover. Best Regards, Fizza

@cliftonc20

Hello, this is fundamentally a document-ingestion and workflow system, and I’ve built production OCR pipelines where the hard part is not capture but getting extraction quality and review logic stable enough for operations to trust. The real engineering risk here is the ingestion-to-verification boundary: image quality, template variation, and field normalization are what determine whether 95% accuracy is actually repeatable on live BEOs. The closest match in my background is DocIntel AI — Document Intelligence & Event Extraction Platform, where I built scanned-document OCR, structured extraction, admin review flows, and downstream storage/export pipelines. Dent-Cloud is also relevant on the workflow side because it included RBAC, production APIs, and a maintainable service split. I usually structure systems like this by separating capture, extraction, verification, and export into distinct layers so OCR failures and schema-mapping issues do not leak into approval workflow. For your case, I’d treat the supplied JSON schema as the contract and design the review screen around field confidence and correction paths. I typically add confidence thresholds, document-level validation, and exception routing so low-certainty fields are surfaced before approval rather than silently exported. These are systems I design for long-term production use, with clean handoff, source ownership, and predictable operational behavior. Clifton

@waqaswebmaster

I can build this as a single cross-platform application for iOS, Android and web, with a workflow designed specifically around your BEO documents. I’ll implement camera/file/PDF uploads, OCR extraction, editable verification and role-based approval before generating the final structured output. For OCR, I’d first test your standard BEO templates and choose the most reliable engine, potentially Google Vision or Azure Document Intelligence, rather than assuming a basic OCR library will reach the required 95% accuracy. The backend will expose clean APIs so the same workflow works across all three platforms. I’ll also implement JSON/CSV export, PDF summaries, email/storage delivery and proper access controls. I have experience with Flutter, mobile/web applications, APIs, OCR and automation. I’ll provide the complete source code, build/deployment documentation and walkthrough, with milestones tied to the agreed acceptance criteria.

@arslanshahid386

Hi, I can help you with this project. I have relevant experience with PHP and can handle the work from development to testing and delivery. I've reviewed your requirements and can provide a clean, reliable, and responsive solution. Let's discuss the details and get started. Best, Arslan Shahid

@tonybhsl

Hello, I am ready to start immediately, i have recently worked with these kind of projects. >>> Please come on chat to discuss in detail I'll do this work under $500 with free bug fixes. Questions: 1. Can you provide a few representative BEO templates and scanned samples so I can validate OCR accuracy before finalizing the engine? 2. Do you already have the JSON schema and role/workflow rules available for the verification and approval stages? With 17+ years of development experience, I can build the complete cross-platform solution using Flutter, with a shared codebase for iOS, Android and Web while keeping the OCR and backend services scalable. My delivery approach: • Implement camera/upload capture with OCR and structured field extraction. • Build editable verification screens with submit, verify and approve permissions. • Deliver JSON/CSV/PDF exports, storage/email integration and complete deployment documentation. I’m ready to review your templates and JSON schema and propose fixed-price milestones. Looking forward for connecting. Best Regards,

@shayankhan333

Hello, I will build your cross-platform BEO app in React Native with a web PWA, so iOS, Android, and browsers share one code-base. Capture, OCR, editable verification with role-based access, and JSON/CSV plus PDF export will all work end to end. I can start today. For OCR, I will use Google Vision or Azure Form Recognizer to hit your 95% accuracy on BEO templates, whichever tests better on your samples. Questions: 1) Can you share the JSON schema and 2-3 sample BEOs? 2) Preferred storage: Google Drive, S3, or something else? Looking forward to discussing further. Regards, Shayan.

@invoketech

Hello! Your project is {{ Cross-Platform Hospitality Workflow App }}. I’ve carefully reviewed your requirements and I’m ready to develop the complete cross-platform solution. I have 10+ years of experience in mobile and full-stack development, including OCR, document processing, workflow systems, API integrations, and cross-platform applications. I can build a single-codebase application for iOS, Android, and Web with a smooth and maintainable architecture. I’ll also ensure the solution supports your BEO templates, secure role-based access, structured JSON output, responsive UI, deployment, complete source code, documentation, and video walkthrough. I’m confident I can deliver a reliable solution aligned with your 95% OCR accuracy target and acceptance criteria. Thanks, InvokeTech