Intelligent Document Platform
A cloud-native platform that turns archives of unstructured documents, PDFs, scans and Office files into searchable, secure knowledge. It's engineered as a fully serverless system that runs in production on both AWS and Azure with the exact same product experience.
- Industry
- Enterprise · Document Management
- Discipline
- Cloud / AI Platform
Technologies Used
Platform overview
The platform handles the complete document lifecycle: ingestion, processing, search, and retrieval. A core API coordinates the workflow, while focused, event-driven background jobs handle individual tasks such as extracting text and indexing it for search. Because the work is divided into independent stages connected through events, the system can scale and remain resilient.
The challenge
Organizations sit on huge archives where the information is effectively locked away inside files. The client needed to ingest documents at scale, make their contents searchable, and let teams find any piece of information in seconds, while meeting strict security and audit requirements, integrating with the tools they already use, and avoiding lock-in to a single cloud vendor.
Ingestion and secure storage
Files are uploaded through a secure, authenticated API and kept encrypted in cloud storage. Office documents are automatically standardized so everything flows through one consistent processing path, and files are only ever retrieved through signed, time-limited links.
Automatic text extraction
Each document is processed using Amazon Textract on AWS or Azure Document Intelligence on Azure. These services extract text from digital documents, scans, and images. Event-driven processing begins as soon as a file is received, allowing previously non-searchable documents to be indexed automatically.
Intelligent search
Extracted text is indexed in Amazon OpenSearch on AWS or Azure AI Search on Azure. A dedicated query layer supports full-text search, wildcard search, and logical operators such as AND and OR. This allows users to locate relevant documents without manually browsing folders.
SharePoint synchronization
Scheduled jobs keep the platform synchronized with SharePoint by importing updated files and removing deleted files from storage, the database, and the search index. Recovery jobs reconcile the platform's records and retry deliveries that did not complete successfully.
Multi-cloud, by design
The same product runs on both AWS and Azure, using each cloud's storage, OCR and search services. The whole environment is defined as code, and a single automated pipeline builds each service once, security-scans it, and ships it to both clouds. The result is genuine portability and no vendor lock-in.
Extensible with optional AI modules
Beyond the core platform, optional add-on modules can layer on extra intelligence, such as AI summaries, translation and media transcription. These are kept separate from the main package so the core stays lean, and they can be switched on for clients who need them.
Key Features
Outcomes
- Scanned and digital documents become searchable within seconds of upload.
- Event-driven workflows automate document processing and reduce the need for manual intervention.
- The serverless platform has no standing servers to patch and scales on demand.
- Encryption, signed access, and audit trails help protect documents.
- The platform runs across AWS and Azure without relying on a single cloud provider.
Have a document management project in mind?
Whether you need OCR, enterprise search, SharePoint synchronization, or multi-cloud deployment, Webnyxa can help you create a secure document platform around your business workflow.