Product · Document management

Document Management with Chat

A Windows application for scanning, importing and organising files into server-backed drawers, with in-app chat for sharing documents between users.

Desktop application developmentAPI developmentServer setup
IndustryDocument management
EngagementCustom software development
ServicesDesktop application development · API development · Server setup
PlatformC# · .NET desktop · DevExpress
DocumentWeyBeeWeyBee

Filed

The idea

The client's users kept paper and digital documents in scattered folders and shared them by email. They wanted a simple filing cabinet on the desktop, backed by a central server, with a quick way to send a document to a colleague.

The challenge
  • Scan or import documents and store them centrally.
  • Organise files in a familiar drawer-and-folder structure.
  • Share files and messages between users without leaving the application.
What WeyBee did

WeyBee built the desktop client in C# with DevExpress, and the server API in Laravel on an Ubuntu server with Nginx. Documents are scanned or imported, uploaded to the server and opened through the API. A built-in chat lets users message each other and share files. Licensing controls access to the software.

What it does
Scan and import

Scan paper documents or import files and store them on the server.

Drawers and files

Organise documents into drawers and folders.

Document viewer

Open and view stored documents inside the application.

Chat and sharing

Send messages and share files with other users.

Licensing

License activation and user login.

AI Engineering · Next

AI-ready by design.
Where AI fits next.

Documents are already scanned and organised in drawers. AI can make every file searchable and answerable.

OCR and smart filing

Read scanned documents and file them automatically.

Ask your documents

Ask questions across files and get answers with sources.

Chat summaries

Summarise long document threads for the team.

Start with an AI use-case

One to two weeks to pick the use case and prove the data is ready.

Add AI to a system like this
DATAAlready in the platform
AI ENGINEModel to add
INSIGHTSignals surfaced
PRODUCTInside the workflow
ACTIONDecisions automated
How it is built
  1. Windows desktop client with DevExpress controls.
  2. Laravel REST API on Ubuntu 20.04 with Nginx.
Results
  • Documents live in one central store instead of scattered folders.
  • Users share files through the application rather than email.
Technology
C#.NET desktopDevExpressLaravel APIMS SQLLinux (Ubuntu) + Nginx
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