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GermanyMedia and entertainment2023 – ongoing

ProSiebenSat.1 Media

In-house AI Products team automation tools for video, transcription and ad targeting

ProSiebenSat.1 automated news clips, video tagging and transcription with five in-house AI tools

WorkingCompany's own claimOfficial ↗

Problem

Editors spent hours documenting and transcribing raw footage. Producing separate regional news clips by hand was not practical.

Approach

The company's AI Products team built five tools. Digital Buzzroom makes automated news video clips. Video mining generates keyword tags for the media archive. Automated transcription of raw footage was piloted with one editorial team. A machine learning model classifies TV viewers for addressable TV ads, and MediaLytics links TV reach to website visits.

Results

16 clips a dayCOVID-19 video clips produced automatically each day, one per federal state, from Robert Koch Institute data, per ProSiebenSat.1Company's own claim[1]
3 to 6 hours of manual work per hour of speechmanual transcription time, which automated transcription replaces with a run about as long as the video, per ProSiebenSat.1Company's own claim[1]

Takeaway

Most of the five tools targeted routine editorial and archive work, where a pilot with one team was enough to test them.

Categories

Innovation type
Process innovation
Evidence
Company's own claim

Sources

  1. AI solutions from ProSiebenSat.1 Tech Solutions in action
    ProSiebenSat.1Mar 2023Company publication

Source summaries

[1]ProSiebenSat.1Mar 2023

The company story presents five automation products from its AI Products team. It reports 16 automated COVID-19 clips a day and says automated transcription runs about as long as the video, against 3 to 6 hours manually per hour of speech. Transcription was a pilot with one editorial team.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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