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SheepBell

Designed for testers who want to log issues during Language Quality Assurance (LQA) without taking their hands off the controls. Simply record your voice notes while capturing your screen, and SheepBell will automatically extract those timestamps later. Combined with speech recognition, it can also serve as an action log during testing.

The concept is Bell.

Aiming for agile and lightweight LQA powered by sound and voice.

Key Features

• Only One Step to Prepare: Just record your mic audio on a separate audio track during testing to save your actions as a log. Easily set up with OBS.
• Run Locally or in the Cloud: Powered by Python's Silero-VAD and Faster Whisper, it can run completely locally on your machine or in Google Colab!
• Review & Report with Video/Images: In the viewer, review clips of the moments where you left voice notes. Summarize speech recognition inputs into bug reports while watching the video.