AI-Powered Real-Time Closed Captioning for Broadcast and Streaming
Overview
Audimus.Media is a broadcast-grade AI platform for real-time automatic closed captioning across live television, streaming platforms, and modern IP production workflows.
The system combines proprietary Automatic Speech Recognition (ASR), advanced signal processing, and Natural Language Processing (NLP) to generate highly accurate captions with minimal latency.
Supporting 50+ languages and simultaneous translation, Audimus.Media enables broadcasters to deliver accessible content to global audiences. The platform integrates seamlessly with SDI and IP-based broadcast infrastructures, including modern production environments.
Designed for secure on-premises deployment, Audimus.Media provides reliable, low-latency captioning while maintaining full control over media processing and data.
What's New in Version 7.2
Native support for SMPTE ST-2110 audio workflows
Enhanced speech recognition models with larger dynamic vocabularies
Improved language identification and translation latency
Expanded OTT and media platform integrations
Improved web dashboard for task management and monitoring
Key Benefits
Real-time captioning
Generate accurate captions with latency as low as 2–3 seconds
Multilingual support
50+ languages with simultaneous translation
Broadcast-grade reliability
Operate independently from cloud services with secure on-premises deployment
Seamless workflow integration
Compatible with SDI and IP production environments
Compliance standards
Help broadcasters meet regulatory accessibility requirements
Key Features
Applications
Live television broadcasting
OTT and streaming platforms
Multilingual news and sports coverage
Live events and conferences
Corporate and gov. video production
Online meetings and webinars
Deployment
Designed for on-premises deployment on standard enterprise hardware.
Typical installations support 1–4 captioning channels per server, with multi-server scaling available for larger broadcast environments.
Technical Specifications
Speech Processing
Real-time ASR engine
Language Processing
NLP formatting and text processing
Speaker Identification
Speaker detection and diarization
Language Detection
Automatic language recognition
Caption Generation
Real-time caption creation
Management Interface
Web-based monitoring dashboard
Operating Systems
Windows 10 / 11, Windows Server 2016–2022
CPU
Intel Core i7 or equivalent (6+ cores)
CPU Speed
3.5 GHz recommended
Memory
Minimum 32 GB RAM
Processing
CPU-based architecture
GPU
Not required
1–4 captioning channels
Scalable architecture
Input Interfaces
TYPE
SOURCES
SDI capture cards, analog soundcards
SMPTE ST-2110-30, NDI
Virtual audio devices
RTMP, RTSP, SRT, HLS
Caption Formats
FORMAT
USE
Broadcast closed captions
Broadcast subtitles
Digital broadcast
Japanese broadcast standard
ST-2038
Caption transport in MPEG-TS
SDI encoders
Closed caption embedding
Streaming
RTP, RTMP, SRT, RIST
OTT delivery
HLS subtitle playlists
Integrations
AWS Elemental MediaLive / MediaPackage
Wowza Streaming Engine
Unified Streaming Platform
Broadcast encoders and playout systems
Newsroom systems (ENPS, iNews, MOS)
Language Support
Languages
50+ supported
Translation
Simultaneous translation
Vocabulary
Custom vocabulary adaptation
Performance
Word-by-word latency
Ultra-low latency for real-time captions
Block captions
Optimized for complete phrase delivery
Security
Authentication
Internal authentication
SSO
Supported
Access Control
Role-based permissions
Deployment
Secure on-premises processing
Licensing
License Type
Task-based licensing
License Allocation
1 license per captioning task
Scalability
Continuous 24/7 operation; additional licenses enable simultaneous tasks
From speech to value
sales@voiceinteraction.ai
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