Start automating media enrichment tasks like image labeling, classifications, and content moderation using GCP, AWS, and Azure machine learning (ML) APIs in under an hour. No data prep, vendor commitments, or domain expertise required.
From unstructured media to metadata-rich, searchable assets in minutes.
Run pre-trained computer vision models on your images, videos, or PDF docs, then evaluate the output with just a few clicks in our GUI. The resulting metadata can be integrated into your app using Python and REST APIs.
Metadata Tagging Automation
Face & Logo Detection
Video Speech Detection
Media Archive Classification
Intelligent Keyword Search
And just like that—we can eliminate up to 12 months of development work.
How does Zorroa break down the ML adoption barrier?
No code needed to run ML experiments
Mix and match ML features from multiple providers with a few clicks
Automatically transcode data at scale and batch upload
Analyze labels and metadata output in Zorroa’s GUI out of the box
Run faceted search based on model confidence
Add custom labels with custom-trained models
Eliminate the need to normalize output data from various vendors
Integrate resulting metadata into your apps with industry-standard APIs