UiPath Desktop Automation Specialist
Budget: ₹600 – ₹1,500 INR
I’m building a UiPath Studio workflow that takes repetitive data-entry work off my team’s hands inside a proprietary desktop application. The software has no public API, so I rely entirely on UiPath’s desktop automation capabilities—selectors, Computer Vision, and, where needed, image/OCR actions.
Your job is to create robust, reusable XAML sequences that open the program, navigate through its menus and forms, validate each field, and post the data we feed in (CSV/Excel) exactly as a human would. Error handling, element retries, and clear logging must be built in so the robot can run unattended without supervision.
I will provide a short screen-recording, a set of test credentials, and a sample data file. Once the workflow is solid, please document any special selectors, keyboard shortcuts, or configuration steps so I can maintain the process internally.
Deliverables
• UiPath Studio project folder with all XAML files and assets
• Brief markdown or PDF hand-off guide covering setup, variables, and error recovery steps
• Quick demo video (or live session) proving the bot runs end-to-end on the supplied dataset
Acceptance criteria: the process completes 100 records in under five minutes with zero manual touch points and logs no unexpected exceptions.
If you have handled similar “no-API” desktop data-entry challenges, let me know—that experience will help us move fast.
Your job is to create robust, reusable XAML sequences that open the program, navigate through its menus and forms, validate each field, and post the data we feed in (CSV/Excel) exactly as a human would. Error handling, element retries, and clear logging must be built in so the robot can run unattended without supervision.
I will provide a short screen-recording, a set of test credentials, and a sample data file. Once the workflow is solid, please document any special selectors, keyboard shortcuts, or configuration steps so I can maintain the process internally.
Deliverables
• UiPath Studio project folder with all XAML files and assets
• Brief markdown or PDF hand-off guide covering setup, variables, and error recovery steps
• Quick demo video (or live session) proving the bot runs end-to-end on the supplied dataset
Acceptance criteria: the process completes 100 records in under five minutes with zero manual touch points and logs no unexpected exceptions.
If you have handled similar “no-API” desktop data-entry challenges, let me know—that experience will help us move fast.
Related categories:
.NET
Data Processing
Data Entry
Microsoft
OCR
VB.NET
XAML
Computer Vision
Automation