Case study

MediaTrack — Streamline Broadcast Monitoring with Automated ASR & OCR

MediaTrack is a global content conversion company specializing in converting audio-visual and print content into structured, searchable data for the media intelligence community. The company processes content across six continents in over 20 languages, digitizing more than 3 million print pages and broadcast content from more than 3000 channels and playlists.

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MediaTrack

The Challenge

MediaTrack needed a speech-to-text solution for their broadcast monitoring product that could handle a large volume of audio-visual content in multiple languages while maintaining high accuracy and customization. The solution also needed to be scalable, fast, and reliable to meet the demands of MediaTrack's global media monitoring operations.

The Solution

MediaTrack chose Vatis Tech's speech-to-text solution for its accuracy, reliability, scalability, and cost-effectiveness. The solution's ability to handle multiple languages and its seamless integration with MediaTrack's existing workflow were also key factors in the decision.

Vatis Tech's speech-to-text solution was integrated into MediaTrack's broadcast monitoring product. After capturing audio-video content, MediaTrack uses Vatis Tech's solution to convert the audio to text while simultaneously performing MediaTrack's Optical Character Recognition (OCR) on the video. The resulting text and OCR data are then combined and further enhanced before being formatted for delivery to clients.

MediaTrack

Vatis Tech's speech-to-text solution has been a valuable addition to our media monitoring toolkit. Its accuracy, scalability, and cost-effectiveness have enabled us to improve the efficiency and quality of our services while expanding our capabilities to new markets.

Raphael QuisumbingHead of Product, Broadcast, MediaTrack

The Results

Vatis Tech's speech-to-text solution has enabled MediaTrack to:
  • Handle diverse accents, dialects, and industry-specific vocabulary with ease.
  • Reduce the time and resources required to transcribe audio-visual content.
  • Enhance the quality and value of its media intelligence data.
  • Expand its media monitoring capabilities to new languages and markets.

  • Higher accuracy in 10+ languages

    Delivers precise transcriptions, even for challenging audio-visual content.

  • Scalability

    Handles MediaTrack's large content volume and growing media monitoring demands.

  • Fast turnaround

    Provides rapid transcriptions, enabling timely media intelligence delivery.

  • Cost-effectiveness

    Improves efficiency without increasing costs, offering a budget-friendly solution.

  • Reliability

    Ensures consistent quality, helping MediaTrack maintain top-notch monitoring services.

  • Accessibility

    Makes MediaTrack's media intelligence services more accessible to a wider range of clients.

Looking Ahead

MediaTrack plans to continue collaborating with Vatis Tech to further enhance its media monitoring workflow. The company is particularly interested in exploring new features and capabilities, such as music detection, silence detection, audio event detection, and improved support for Asian languages.

Conclusion

This case study highlights how MediaTrack's integration of Vatis Tech's speech-to-text solution has transformed their audio-video content into searchable, analyzable data. By converting audio to text and simultaneously applying Optical Character Recognition (OCR) to video, MediaTrack has significantly enhanced its media monitoring capabilities. The resulting data, combining both spoken and visual elements, offers structured, searchable insights, delivering greater value to clients in the media intelligence community.

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