Case Study: LOOQME Improves Brand Analysis Efficiency with Vatis Tech Speech-to-Text

How Speech-to-Text Improved Brand Analysis Efficiency

LOOQME, a company providing a comprehensive ecosystem for PR and brand monitoring, faced a challenge with the slow and inaccurate analysis of TV broadcasts, particularly in Romanian and Slavic languages. This hindered their ability to provide reliable data for brand tracking, which is crucial in the PR industry. To address this, they collaborated with Vatis Tech to integrate advanced speech-to-text technology.

Vatis Tech implemented its speech-to-text solution via an accessible API, which seamlessly integrated into the LOOQME system. The results included transcription accuracy of over 95% for Romanian and 90% for Slavic languages. This significantly improved LOOQME's analytical capabilities, reduced analysis time, lowered operational costs, and enabled more precise and actionable brand tracking insights for their clients.

LOOQME