AI-powered metadata generation

Automatically generate metadata for your assets by fully integrating the right artificial intelligence model.

Automatically enhance your assets’ metadata

AI-powered automated metadata generation for media assets improves asset quality and facilitates asset management for media companies, content creators, marketers, and businesses in the digital age. By utilizing advanced technologies such as face, object, or text recognition, and speech to text, you can significantly streamline the process of finding archived assets, creating closed captions, facilitating editing and producing shows, as well as filtering and organizing assets based on generated metadata.

qibb allows you to automatically generate metadata independent of its origin, and as early as possible, ensuring consistent synchronization throughout multiple systems to unlock its immense potential and harmonize data. While manual metadata management can be time-consuming and error-prone, qibb makes this process as simple and efficient as possible. Although AI-generated metadata can sometimes be inaccurate, qibb requires minimal human intervention for corrections, ensuring a seamless, user-friendly experience.

Flexibly customize AI workflows to your needs

Improve your data quality
Leverage the best model for your specific use case and context ensures the best possible result.
Train your models
Let your AI constantly learn through manual corrections in a MAM system. Thus, build a customized AI model perfectly tailored to your requirements.
Monitor usage and cost
Visualize usage and cost generated by your AI services across providers – all in a unified dashboard.

AI capabilities fully integrated into your system landscape

qibb offers a wide variety of pre-integrated AI providers and models in our Node catalog. Furthermore, qibb can quickly add additional products or customized models through generic RESTful API and our OpenAPI Node.

Given that individual models can widely vary between use case (speech to text, OCR, face recognition, object recognition, etc.) and language, this variety is critical for enterprise customers.

Using qibb, selecting the right model and integrating it with the preferred MAM or DAM can be done quickly and with minimal coding. In doing so, qibb Nodes or JavaScript snippets map 3rd party responses and XML structures to the required target format.

Applications integrated

About qibb

qibb is the leading media integration platform to create and maintain low-code media workflows. Fully agnostic and cloud-based, qibb comes with a growing Catalog of Nodes (connectors), dozens of pre-build Flows (templates), and a versatile feature toolkit that makes virtualized system integration a reality. It enables customers to build and maintain integrations more cost-effective, faster and vendor independent – making media workflow automation and integration easier than ever before.

Contact qibb experts

Find more use cases

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