Intelligent Video & Media Management
Transform your media library with AI-powered metadata, face recognition, and intelligent search. Surface hidden content, accelerate workflows, and unlock new monetization opportunities.
Powered by AWS Machine Learning
Nomad Media leverages Amazon Rekognition, Amazon Transcribe, and cutting-edge machine learning models to analyze video and audio content. Choose cloud-based processing or edge deployment for real-time intelligence with sub-second latency.
What Nomad Media AI Enables
AI-powered tools designed to analyze, organize, and activate your media at scale.
Generative Metadata
Automatically generate labels, concepts, transcripts, captions, and summaries from video and audio content. Eliminate manual tagging and increase search accuracy across your archive.
Face Recognition & Person Tagging
Train faces securely and tag media at the timecode level. Identify individuals across videos, images, and live streams with precision.
Automated AI Workflows
Trigger alerts based on detected objects, people, or spoken words. Enable real-time monitoring, compliance workflows, and content review automation.
Intelligent Search & Discovery
Search using natural language. Large language models understand context and intent, helping teams find content without relying on rigid taxonomy structures.
Key Platform Capabilities
A comprehensive suite of AI capabilities built to analyze, organize, and activate your media.
Image-to-text models analyze every frame to generate labels (objects like “basketball” or “car”), concepts (themes like “concert” or “friendship”), extract text from images and videos, and moderate sensitive materials. Discover content you didn’t know existed in your archives.
Audio-to-text models create accurate transcripts and subtitles. Trigger alerts when specific words are detected or when audio presence/absence occurs. Perfect for automated workflows, compliance monitoring, and accessibility requirements.
Edit images and videos through simple text prompts–no Adobe Creative Suite or editing expertise required. Remove unwanted objects, replace backgrounds, swap logos, or eliminate shadows with just a few keystrokes. Empower non-technical teams to refine content directly within the platform.
Train and catalog faces through AWS Rekognition, then automatically tag media with person names at the exact timecode. Secure “thumbprints” stay in your account–never shared or used for training. Works on images, videos, and live streams.
Transform 2-hour transcripts into paragraph summaries. Auto-generate chapters, captions, and video segments. Critical for large libraries needing accurate descriptions without manual review. Enhanced metadata means more content monetization opportunities.
Trusted Across Industries
Organizations across media, enterprise, and public sector rely on Nomad Media AI to increase efficiency and maximize content value.
Corporate
Streamline training videos, town halls, and product demos with automatic transcription, searchable metadata, and face tagging for quick executive clip retrieval.
News Organizations
Accelerate breaking news production with instant transcription, face tagging for public figures, and rapid archive searches for B-roll footage and context.
Government & Public Sector
Enable rapid evidence review with face recognition, automatic transcription, and timecode-accurate tagging for public meetings, hearings, and archival records.
Worship
Search sermons by topic or scripture reference through AI transcription. Automatically tag speakers and create accessible subtitles for online congregants and archives.
Built for Scale, Security, and Performance
Nomad Media is cloud-native and designed for enterprise performance.
Frequently Asked Questions
Nomad Media offers comprehensive AI capabilities powered by AWS services including Amazon Rekognition and Amazon Transcribe. Core capabilities include face detection and person recognition, audio-to-text transcription for subtitle and caption generation, image-to-text analysis that generates labels and concepts from video frames, text detection, content moderation to identify adult or sensitive material, and intelligent search using Large Language Models. The platform also enables automatic summarization of long-form content, media refinement and modification through text prompts, and both cloud-based and edge-based live video analysis with real-time alerting.
Yes. Nomad Media uses audio-to-text models to automatically generate subtitles and captions from the audio track of your videos. The platform has been using audio-to-text models for many years for subtitle creation. Additionally, through Generative AI text summarization, you can automatically create caption information, chapters, and annotations for videos. For large video and audio libraries, this capability provides accurate descriptions without manual transcription work.
AI-powered metadata refers to the information that Nomad Media's Generative AI automatically creates about your content. Instead of manually tagging and describing media, the AI analyzes your content and generates metadata including labels (objects like "basketball," "chair," or "car"), concepts (themes like "concert," "gambling," or "friendship"), face recognition tags with person names at the timecode level, transcripts and subtitles from audio tracks, text extracted from images (like license plates), content moderation flags, automatic summaries, and chapter markers. This metadata makes your content searchable, discoverable, and more valuable for monetization. The AI uses a combination of audio-to-text and image-to-text models to create this comprehensive metadata package.
For people: Yes. Face detection starts by "training" faces as they are uploaded to Nomad and cataloged by AWS Rekognition. You use the Nomad interface to give a name to each group of similar faces. The system creates unique face "thumbprints" that are stored only in your account, and you map those thumbprints to names. This training data stays exclusively in your account and never leaves.
For specific terminology: Yes, to an extent. Nomad Media can utilize specialized models for domain-specific terminology. For example, models can be trained to be highly proficient at identifying medical terminology from audio tracks. These models follow two tracks: generic and specific. However, it's important to note that Nomad Media uses pre-trained models from sources like Hugging Face rather than training custom models on your content.