Private AI and workflow automation
Private AI, ready to work.
Offline speech recognition, GPU inference, desktop controls, resilient clipboard delivery and automation-ready workflows in one packaged application.
Whisper large-v3
Bundled local speech recognition model
200,000
Unicode characters verified exactly
Offline EXE
No cloud AI service or internet required
The challenge
The goal was not a transcription demo. The application had to support open-ended dictation, tolerate pauses, provide a separate quick-dictation path, work reliably from the Windows tray and return complete Serbian text without automatic paste.
It also had to package a large local model, GPU runtime and native Windows integrations into a standalone product that could diagnose hotkey conflicts and clipboard failures.
What we built
We built the whole desktop product path: audio capture, local inference, user controls, native OS integration, diagnostics, packaging and repeatable validation.
- Manual long-form recording with no fixed duration or silence timeout
- Separate quick-dictation workflow through a global hotkey
- Bundled Whisper large-v3 model with local CUDA inference
- Tray microphone controls with recording, transcribing and idle states
- Clipboard-only delivery that keeps manual user control
- Pointer-safe 64-bit WinAPI clipboard integration
- Diagnostics for occupied hotkeys and clipboard memory failures
- Packaged PyInstaller distribution with automated and executable self-tests
Verified outcomes
The standalone application remained active with its registered shortcut, passed Serbian Unicode validation and reproduced a 200,000-character clipboard payload exactly. The Whisper model, CTranslate2 and CUDA libraries are packaged with the product, so normal operation needs no internet connection, LM Studio or separate AI server.
Long dictation, empty recording and clipboard-only flows covered by tests
Serbian Unicode and 200,000-character clipboard readback passed
Packaged executable self-test completed successfully without a cloud dependency
AI that fits the workflow, not the other way around.
The same product approach supports internal AI tools and controlled automation where privacy, reliability and human oversight matter.
Local AI
Private inference and models packaged close to the user or data.
Desktop tools
Tray apps, hotkeys and focused interfaces for repetitive daily work.
Workflow automation
Triggers, validation, actions and notifications with clear failure paths.
Data extraction
Structured output from speech, documents and operational inputs.
Human control
Manual review, clipboard-first delivery and explicit action boundaries.
Product reliability
Diagnostics, tests, packaging and recovery for real user environments.
Have a similar technical bottleneck?
We can turn the constraint into a clear, testable system.
Web, data, automation and practical AI systems built around measurable business needs.