The Problem with Traditional Subtitles
If you’ve ever watched live broadcasts with subtitles, you’ve likely noticed delays, errors, and missing context. Traditional subtitling systems were designed for pre-recorded content, meaning they struggle with real-time accuracy, multiple languages, and metadata like speaker identification or sentiment analysis of audio streams. Further the description and accessibility of the visual content was never focused in those systems.
That’s where Aiconix Metadata Transport (AMT) comes in.
What is AMT?
Aiconix Metadata Transport (AMT) is an AI-driven protocol that enables live transcription, subtitling, and translation for real-time media applications. It provides a low-latency, highly accurate, and metadata-rich approach to handling subtitles—making it ideal for live events, streaming, and multilingual broadcasts.
Unlike static subtitle formats like WebVTT or SRT, AMT doesn’t just display subtitles – it processes, enhances, synchronizes and enriches them them in real-time using artificial intelligence.
How AMT Works
AMT structures speech-to-text, translations, and metadata into a streamlined system, ensuring that every spoken word is processed with maximum precision and minimal delay.
Key features of AMT
How AMT Compares to Other Subtitle Standards
AMT isn’t just another subtitle format – it’s a completely new way of handling live subtitles and metadata.
| Feature | AMT | WebVTT | SRT | TTML | EBU STL | CEA-708 |
|---|---|---|---|---|---|---|
|
Live Support |
✅ Yes |
⚠️ Limited |
❌ No |
❌ No |
❌ No |
✅ Yes |
|
Real-Time Translation |
✅ Yes |
❌ No |
❌ No |
❌ No |
❌ No |
❌ No |
|
AI Metadata (Speaker ID, Sentiment, etc.) |
✅ Yes |
❌ No |
❌ No |
❌ No |
❌ No |
⚠️ Limited |
|
Streaming-Optimized |
✅ Yes |
✅ Yes |
✅ Yes |
✅ Yes |
❌ No |
❌ No |
|
Low Latency |
✅ Yes |
✅ Yes |
❌ No |
❌ No |
❌ No |
❌ No |
How AMT is already used in Live Transcription
AMT is currently being used to power live subtitle editing and multilingual translations. First customers are using in in their Workflows.
Live Subtitles Editing:
- AMT sends real-time “partial” transcriptions to human editors, allowing them to make corrections before the subtitles are published.
- This means that subtitles can be corrected on the fly, unlike static captions that are locked once generated.
AI-Powered Live Translations:
- AMT translates subtitles in real time, allowing broadcasters to offer instant multilingual subtitles for live events.
- Every translated segment retains metadata, ensuring speaker identification and sentence structure are preserved.
The result? Better accuracy, faster updates, and multilingual accessibility – all in real time.
How AMT Works Behind the Scenes
Step 1: Transcription & Metadata Capture
- AMT processes live audio streams and converts speech into text in real time.
- AI enhances it with speaker identification, sentiment analysis, and object recognition.
Step 2: AI-Powered Translation
- Subtitles are instantly translated into multiple languages while retaining word alignment.
Step 3: Live Editing & Publishing
- Editors can correct transcriptions before they appear on-screen.
- Final subtitles are pushed live with precise timing to match speech.
Step 4: Seamless Integration into Streaming Workflows
- AMT delivers subtitles via HTTP POST, ensuring low-latency streaming support.
- Metadata is structured in JSON format, making it easy to integrate with existing platforms.
Why AMT is the Future of Metadata Enriched Content
AMT isn’t just a better subtitle format – it’s a complete AI-powered workflow for live metadata.
🚀 Real-Time Processing – No more delays in subtitles
🌍 Multilingual Support – Instant, AI-driven translations
🔊 Speaker ID & Sentiment Analysis – Captures more than just words
📡 Seamless Streaming Integration – Built for live events & OTT platforms
Whether you’re a broadcaster, streaming provider or media company, AMT gives you the power to deliver subtitles and metadata that are more accurate, faster and smarter than ever before.
Want to Learn More?
Interested in integrating AMT into your workflow?
👉 Contact our team – we’re looking for partners to explore the possibilities of AI-powered live subtitling!
Let’s revolutionize real-time transcription and live metadata together. 🚀
