Azure PDF Date Extractor App with error handling UI

@AndrewJSMAN

I've built similar Azure-based PDF processors with Document Intelligence and OpenAI before, so this is right in my wheelhouse. I'll set up a lightweight frontend (Blob-triggered function or simple web page) with Entra ID auth, then chain Document Intelligence and OpenAI for parsing, extract dates in ISO format, and store results in SQL with status tracking. The UI will show traffic light icons with processing buttons for manual intervention. I'll validate against your sample PDFs and schema, then document the deployment and walk through the flow in a video call. I can start immediately. Thanks, Andrii.

@naminghn

Hi there, I can create a small Azure application for extracting "From Date" and "To Date" from PDF uploads. Leveraging Azure AI Document Intelligence will enable accurate parsing while chaining Azure OpenAI for any necessary text cleanup. Once the dates are extracted, I'll ensure they are stored correctly in your Azure SQL Database with appropriate error handling to provide users with clear status updates in a visual format. I'll include a simple UI for uploading PDFs and an intuitive error handling system using Entra ID for authentication, all while ensuring robust performance with no malformed rows in the database. Your satisfaction is my priority, and I guarantee that I will deliver you a high-quality result. Regards, Ali

@Appworldz

Hi, I’d build this as a small Azure-native pipeline, keeping it easy to deploy inside your tenant and easy to extend later. I can implement PDF upload → Blob → Azure AI Document Intelligence → date extraction/validation → Azure SQL, preserving raw JSON and preventing malformed/duplicate rows. I’ll add confidence thresholds and clear failure handling rather than blindly trusting OCR. For the Entra ID + traffic-light UI, I can add a visual GREEN/YELLOW/RED processing dashboard with review/action states and Process, Send to DB, Update and Delete controls. Base extraction: £450–600 UI + Entra: +£500–750 Complete: £950–1,350 Timeline: 7–10 working days The posted £10–20 budget is not realistic for the full scope.

@Prutheus

A small Azure app that extracts From Date and To Date from a PDF, deployable inside your own tenant. Document Intelligence handles the parsing well, so the work sits in the error handling you asked for: what happens when a date is missing, ambiguous or in an unexpected format. How I would build it: - Function App with a simple upload page, or a blob trigger, whichever fits your users better - Document Intelligence for extraction, with a targeted prompt through Azure OpenAI only for the ambiguous cases, so the common path stays cheap - Validation rules: From before To, dates within a plausible range, both present. Anything failing goes to a review screen with the extracted text shown next to the PDF - Deployed as infrastructure-as-code so it lands in your tenant repeatably, with a small cost note per document - Managed identity rather than keys I run document and OCR pipelines in production for industrial clients and deploy infrastructure with CI/CD. One question: are the PDFs text-based or scanned? Martin

@sabaehsan

Greetings, I see that you're looking to create an Azure application that simplifies the process of extracting "from date" and "to date" from PDF records. You want users to upload these PDFs and have the application handle the parsing efficiently, while also providing clear feedback through a status model. To tackle this, I'd build a user-friendly upload interface that integrates with Azure AI Document Intelligence for parsing. I'd ensure that any necessary text cleanup is handled, possibly using Azure OpenAI when needed. The extracted dates would then be stored in an Azure SQL Database with a unique identifier for each file. For the error handling UI, I can implement a visual traffic light model that clearly indicates the status of each file processed. This will guide users effectively on what actions are needed, making the experience smooth and intuitive. Best regards, Saba Ehsan

@starttechno

I’d wire the single-PDF upload to Azure AI Document Intelligence, locate the first “from date” and “to date” labels, normalize both values to ISO format, and write the generated file ID, filename, dates, and raw JSON to Azure SQL with validation before insertion. I’ll include the Entra ID-authenticated UI in this bid: a clear green/yellow/red status table covering confidence, missing fields, duplicates, corrupt files, and integration failures, with Process, Send to DB, Update, and Delete actions. I’ll provide the deployable Azure resources, README recreation steps, and a recorded architecture walkthrough in 4 days. Is the target Azure SQL schema already finalized, including the unique identifier format? Muhammad Saad

@ammarahmed20

With my extensive background in automation systems and AI development, I am confident that my skillset is a perfect fit for your project. Creating an Azure PDF Date Extractor App is well within my capabilities. Not only do I have hands-on experience implementing the Azure AI Document Intelligence API you need for parsing, but I also have the knowledge and proficiency to incorporate Azure OpenAI if necessary for any text cleanup or disambiguation purposes. In line with your project's requirement, I have significant knowledge of developing UIs that maintain high-quality user experience. I'm particularly enthused by the concept of implementing a graphical Traffic Light Status Model with Entra Authentication, as this will allow users to effortlessly identify the status of their files and take action where necessary. My portfolio also showcases projects where I've created highly visual and interactive tables that facilitated real-time updates based on user action- which would come handy here. Lastly, I understand the value of effective communication and comprehensive handovers. In addition to delivering a fully functional app and database schema-perfectly aligned with your sample PDFs and target table schema- providing you with a detailed README template and even recording a video call walkthroughs isn't just applaudable to me, it's part of ensuring customer satisfaction.

@gogora

Hi The task itself is clear,I could help you to design a python application with django frontend which will be hosted as a web application (Using Nginx) or will be integrated into current solution. The date extraction will be handled with date detection algorithm + OCR and parse snippets. It will be saved into database using SQLAlchemy and Alembic. I’m happy to discuss the details over chat, and I will respond promptly. Thanks for your attention Archil

@denisSolution

Hello, I'm Denis, a full-stack developer experienced in Azure document processing systems. I understand you need a reliable extraction pipeline that pulls structured date data from PDFs and displays processing status clearly. Document Intelligence will handle extraction, with logic to normalize date fields. For low confidence scores or ambiguous formats, I'll chain OpenAI for cleanup. The key value is giving users immediate visibility into what succeeded, what needs review, and what failed. I'd build a web interface backed by a function app with Entra ID authentication. Users see a table of processed files with traffic light status indicators—green for clean extracts ready for the database, yellow for records needing manual review, red for errors. Each row includes buttons to send to the database, update, or delete. My process: review your sample PDFs and table schema to understand date formats and edge cases, build the Document Intelligence integration with fallback logic, implement extraction and validation, create the status dashboard with authentication, and test against your samples to ensure no malformed rows reach SQL. I'll provide infrastructure-as-code and a walkthrough video. The main variable is expected manual review volume. If most files are clean, the yellow queue stays small. If PDFs are inconsistent or dates are buried in unstructured text, we'll need more aggressive OpenAI prompting. I'll build it flexible to handle both scenarios. I can start immediate

@lazarr4

Hello, I can build a lightweight Azure app that extracts dates from PDFs using Document Intelligence and OpenAI, then stores them in SQL while handling errors with a visual status dashboard. I built a similar system for a client that processed 1,000+ invoices daily—added error handling after the first batch failed due to malformed dates. I’d use Document Intelligence for extraction, then validate with OpenAI if needed, storing results in SQL with a unique ID. The UI would show a status table with icons for success, warnings, and failures, with buttons to retry or flag issues. This setup ensures accuracy while making errors easy to spot and fix. Proper validation will reduce invalid records and improve data quality for reporting. I’ll include a README with deployment steps and a short demo video to walk through the flow. After delivery, I’ll help troubleshoot any issues and provide minor updates for the first month. If this approach works for you, I’d be happy to discuss the details further. Thanks, Lazar.

@codeandcommand

For date extraction from PDFs on a small budget like this, I'd skip heavy OCR and use Azure Form Recognizer or PyPDF for text based files, with a fallback for scanned ones. Upload UI, extraction, error handling for bad files, all deployable in your tenant with Function Apps and a simple frontend. Can start today. Budget and timeline here are starting points based on the post. Once we go over what "small footprint" means for you exactly, numbers might shift. Want me to send a quick scope doc?

@engruhulajom

Dear Client, I’m a Top Rated, 5 Star full-stack developer with over 10 years of experience building cloud applications, APIs, and database-driven systems. I understand you need a lightweight Azure application that extracts From/To Dates from PDFs using Azure AI Document Intelligence, validates ISO dates, and stores results in Azure SQL. I can also implement Entra ID authentication, a visual Green/Yellow/Red status dashboard, processing, review, update, delete, and error handling. My skills include Python, REST APIs, Azure integrations, SQL, Linux, and Docker. Could you share sample PDFs and schema to confirm scope, architecture, and pricing for the extended UI? Best regards, Md Ruhul Ajom

@Abror86

Hello Hope you are doing well "Automate Accurate PDF Date Extraction" - I can build this Azure app using Document Intelligence, Entra ID, Azure SQL, and OpenAI. I can implement PDF upload, date extraction, confidence validation, duplicate checks, and clear traffic-light statuses with secure Entra ID authentication throughout the user journey reliably. I will connect processing actions to Azure SQL, preserve raw JSON, support update/delete workflows, test failures, and provide deployment documentation plus architecture walkthrough recording. Would you like Azure OpenAI included only when Document Intelligence confidence falls below the defined threshold? Looking forward to working with you.

@felixivanr

Hi, The real challenge is that Document Intelligence alone won't reliably extract dates from varied PDF layouts. You need a system that surfaces uncertainty rather than silently inserting bad data. I'll build an Azure Functions workflow: blob upload triggers Document Intelligence, chains to OpenAI when confidence is low, then stores results with confidence scores in SQL. A React UI with Entra ID auth lets users review, approve, edit, or reject records before committing—acting as a quality gate that prevents silent failures. For edge cases like multiple date pairs, the code captures the first labeled instance but stores raw JSON for auditing and logic adjustments. I'll include unit tests for date parsing and a deployment template that recreates the Function, database, and Entra app registration in your tenant. The UI becomes key: a traffic light status table shows each file's state (green for clean inserts, yellow for review, red for failures), so your team sees exactly what needs attention before anything hits the database. Deliverables: working app, sample test run with your PDFs, README with deployment steps, and a walkthrough video. Zero malformed rows—nothing commits without explicit approval. I can start right away. Thanks, Felix.

@krupnovdenis

Hello! We can build you a compact Azure solution for PDF extraction and status tracking. 1. Do you want the upload flow as a web page, a Blob-triggered function, or both? 2. Should the traffic-light UI only show status, or also allow review and edits before saving? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@sara0346

Hello, I reviewed your project about building an Azure PDF date extraction application. I understand you need a secure workflow that extracts document dates, validates results, and stores accurate records. My approach will use Azure AI Document Intelligence with Azure services and a clear traffic light status UI for user actions. The final result will include PDF processing, Entra ID authentication, error handling, database integration, and deployment documentation. I would be happy to discuss the implementation. Best Regards, Sara

@anandinfraveo

**Free today and this is exactly the Azure AI stack I work in** Read through your flow, Document Intelligence pulling the two dates then landing rows in Azure SQL is straightforward, I'd chain Azure OpenAI in only where the raw JSON needs disambiguation so you're not paying for unnecessary calls. The traffic light UI with Entra ID auth is doable on top, that layer plus the status table typically adds 40-60% over the base extractor build depending on how much validation logic you want behind each yellow flag. Recent work: built a similar PDF-to-SQL pipeline on Azure Functions with Document Intelligence for a logistics client, and an Entra ID secured internal portal for a finance team. Happy to scope the base extractor first so you see it working end to end. Want that as the first milestone?

@ZohaibSathio

Hi, an Azure app that takes a PDF upload and lands the from date and to date in your SQL table in ISO form, plus the traffic light view over processed files. The bit that breaks is low confidence: it's got to land as a yellow row someone fixes, not a silent wrong date. Plan: a web app behind Entra ID, upload to blob, a blob triggered function on Document Intelligence, OpenAI only on ambiguous text, then an insert carrying the confidence score. Row colour comes off that score, with buttons for send to DB, update or delete. Should yellow rows be editable in the UI before they commit? I have built PDF extraction into SQL on Azure Functions. Regards, Zohaib

@indreshpnk

With my extensive experience in both Azure and API development, I am confident in my ability to craft an efficient and powerful solution for your project. Utilizing Azure AI Document Intelligence, I can create a solid foundation for the parsing and extraction process. And if needed, my knowledge in Azure OpenAI can provide extra cleanups and disambiguations. Focusing on end-user experience, I’ll ensure that the system is not just functional but visually intuitive as well. The traffic light status model with Entrta authentication will give you the clear visibility you desire - highlighting each file's processing status to identify areas requiring attention. This model combined with action buttons facilitates users' engagement to your specification. Moreover, beyond providing you a robust system that meets your objectives, my commitment includes creating a detailed README template for recreating resources as well as conducting a video call to walk you through the architecture and tests. All this coupled with timely deliveries and excellent communication means choosing me would mean less hassle, faster results and a project completed exactly as envisaged. Let's build something truly amazing together!