Case Study: AGERPRES boosts newsroom efficiency with Vatis Tech speech-to-text

AGERPRES - Customer Case Study

AGERPRES, Romania's most prestigious press agency, required a faster and more accurate speech-to-text solution to transcribe interviews and press conferences. Their previous tool was slow and struggled with large volumes of audio, hindering their ability to quickly publish news and monitor media. Their goals included achieving higher transcription accuracy than competitors and efficiently identifying key entities like brand names.

Vatis Tech implemented its speech-to-text solution, which delivered over 95% content accuracy for the Romanian language and transcribed one hour of audio in under 10 minutes. The solution featured speaker diarization and accurate entity recognition. This resulted in boosted productivity for the newsroom, faster delivery times for online content, and the ability to handle higher business volume for AGERPRES.

AGERPRES

Veronica Tudor

Deputy Chief Editor