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Use Case

Audio transcription with GPT4YOU

Initial situation

A large radio station in Germany was faced with the challenge of making its content editing processes more efficient. In particular, the time-consuming manual transcription of audio content - such as voice messages, interviews, live broadcasts or podcasts - was taking up valuable resources. Editing this content often took several hours, which slowed down the editorial workflow considerably. The aim was to automate this process in order to save time and reduce the workload for employees.

Our solution

To meet the radio station's requirements, we relied on our AI-supported solution GPT4YOU for real-time audio transcription. This technology makes it possible to convert spoken content directly into written text - with high precision. During a live broadcast or after uploading audio files, the system automatically creates a transcription that is ready for further editing. This means that the editorial team can access the finished text within a few minutes instead of having to spend hours transcribing it manually.

The result

By using GPT4YOU, the radio station was able to fundamentally optimize its transcription processes. The processing time was reduced from several hours to just a few minutes. At the same time, the high accuracy of the transcriptions enabled a significant increase in quality in the further processing of the content. The editorial team now has more time to concentrate on creative and editorial tasks instead of tedious manual work.

About the Author

Paul Wettstein lenkt bei der FIDA die digitalen Marketingbereiche SEO, SEA und Social Ads in die richtige Spur. Als begeisterter Radsportler kombiniert er Ausdauer, Strategie und den Blick fürs Detail – Qualitäten, die ihn sowohl auf der Straße als auch in der digitalen Welt auszeichnen.