AI & ML-Empowered Post-Production Workflows
MediaServicesIQ is your gateway to Digital Nirvana’s technology stack.
MediaServicesIQ contains a suite of machine learning (ML) applications. These microservices can be applied to speech-to-text, video intelligence, closed caption conformance, and content classification in media workflows.
Watch how MediaServicesIQ enables post-production workflows powered by AI & ML technologies.
The microservices in MediaServicesIQ integrate easily with media workflows used by broadcasters and media houses, helping them leverage AI/ML technologies within existing workflows. MediaServicesIQ provides an easy-to-access portal to cloud-based AI/ML services through custom-developed workflows.
MediaServicesIQ: The Preferred Choice
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Integration with all Digital Nirvana Offerings
MediaServicesIQ can be integrated with Monitor-IQ 7.0 to enable powerful insights into monitoring and video intelligence.
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AL/ML Capabilities
AI/ML empowered post-production workflows to enable broadcasters to have new efficiencies like video intelligence and speech-to-text technology, save time, and monetize valuable content.
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Workflows
MediaServicesIQ help organizations amplify their media workflows by adopting Trance which offers AI & ML-driven efficiencies for captioning, transcription, and translation
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Digital Nirvana’s Technology Stack
With its user-friendly interface, MediaServicesIQ provides solutions and a technology stack that includes machine learning, artificial intelligence, and microservices.
Key Features
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Read moreAutomatic Speech-To-Text
- The cloud-based STT engines automate the generation of transcripts of content in 30 different languages.
- Generate time-coded, speech-based metadata for audio, and video content.
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Read moreAutomatic Preliminary Caption/Subtitle Generation
- Generate faster, scalable, reliable, and secure preliminary, machine-generated, time-synced closed caption sidecar outputs in various formats for further processing.
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Read moreClosed Caption Conformance
- Generate reports on non-conformance parameters within an existing CC sidecar file against guidelines for other platforms like Netflix, saving time and effort.
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Read moreContent Classification
- Upload video content and automatically create a classification for content and advertisements using various classification labels.
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Read moreIntegration with Media Workflows
- MediaServicesIQ enables off-the-shelf integration with the Avid system and easily interfaces with existing workflows using REST API.
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Read more24/7 Support
- Digital Nirvana’s experience, backed by a worldwide support team, ensures that our customers get application-level availability, security, comprehensive visibility, and quick response.
Automatic Speech-To-Text
- The cloud-based STT engines automate the generation of transcripts of content in 30 different languages.
- Generate time-coded, speech-based metadata for audio, and video content.
Automatic Preliminary Caption/Subtitle Generation
- Generate faster, scalable, reliable, and secure preliminary, machine-generated, time-synced closed caption sidecar outputs in various formats for further processing.
Closed Caption Conformance
- Generate reports on non-conformance parameters within an existing CC sidecar file against guidelines for other platforms like Netflix, saving time and effort.
Content Classification
- Upload video content and automatically create a classification for content and advertisements using various classification labels.
Integration with Media Workflows
- MediaServicesIQ enables off-the-shelf integration with the Avid system and easily interfaces with existing workflows using REST API.
24/7 Support
- Digital Nirvana’s experience, backed by a worldwide support team, ensures that our customers get application-level availability, security, comprehensive visibility, and quick response.
Learn More
MediaServicesIQ provides a rich suite of smart, self-service tools that empower broadcasters and independent content creators to enhance content value, meet regulatory caption requirements, and prepare content to be published on different distribution channels.
