Provider-agnostic by design
We integrate with major AI vendors across speech recognition, translation, speech synthesis, and captioning workflows so customers are not locked into one provider.
A Deep Dive Into Our AI Speech Translation Approach
This page is for teams that want to understand how Interpreter24 orchestrates live AI translation in detail. If you only need the outcome, you can skip straight to the product and demo.
AI concept
We do not rely on one model. We orchestrate the full speech translation chain.
Speech-to-speech translation for events is not one API call. It is a live pipeline: ingest audio, detect speech correctly, translate with context, synthesize natural output, generate captions, and route every stream in real time. Interpreter24 coordinates that chain end to end.
Our team continuously researches providers, benchmarks outputs, and performs NLP R&D on the orchestration itself to improve latency, accuracy, terminology control, and naturalness. The goal is simple: the best translation quality available for live delivery.
Built for live multilingual delivery
- Real-time, simultaneous, continuous translation for presentations, lectures, conferences, and hybrid sessions.
- Speech-to-speech translation and multilingual captioning from one robust, redundant platform.
- Major provider compatibility plus our own orchestration intelligence and R&D on top.
- Plug-and-play delivery or customer-managed AI workflows depending on the licensing model.
Plug & Play
Best-performing managed setup
Bring Your Own AI
Lower costs and higher control
Glossary Control
Brand names and client terminology
Offline Roadmap
On-device AI in development
How the platform is structured
Three layers define the product: provider integration, orchestration intelligence, and deployment flexibility.
Orchestration is the product
Interpreter24 coordinates the chain between services, applies the right workflow logic, and keeps the system optimized for low latency, high accuracy, and natural output.
NLP R&D improves outcomes
We research, evaluate, and refine prompts, segmentation, context handling, glossary injection, and workflow tuning so the translation quality keeps improving as the market evolves.
Core AI features
The platform is built around practical live-event features that improve translation quality, flexibility, and delivery speed.
60+ languages
More than 60 languages spoken and translated for live multilingual events with the highest accuracy on the market.
Automatic language detection
Detects language changes automatically so multilingual sessions continue without manual intervention.
Latency and accuracy control
Choose whether the workflow should favor shorter latency or higher translation accuracy. Lowest latency on the market with 2 seconds end-to-end.
Contextual translation with LLMs
Integration of large language models to improve contextual translation quality and consistency.
Natural latest-generation TTS
Latest text-to-speech models with more natural voices for translated audio delivery.
Low-latency distribution
Lowest-latency operation on local hardware, plus low-latency audio distribution to mobile devices.
Two operating models
Choose managed quality out of the box, or manage your own AI vendors for more control and lower operating cost.
Plug and play with the best translation engine
For customers who want results fast, we provide a ready-to-run solution with our preferred orchestration setup and best-performing provider stack. This is the result of our own R&D and is constantly improved to offer the fastest route to production-quality live translation.
- Single installable app with a delivery-ready workflow.
- Interpreter24 manages the orchestration choices for quality and latency.
- Ideal for event teams and customers who want the strongest output without vendor management overhead.
Bring your own AI providers
Advanced customers, especially LSPs and larger delivery organizations, can choose their own vendors, insert their own credentials, and manage the workflow themselves. We currently support scenarios involving providers such as Azure, DeepL, Google, and Deepgram, depending on the stage of the pipeline.
- Use your own commercial agreements and preferred vendors.
- Reduce operational costs up to 80% and improve margins for high-volume multilingual delivery.
- Use our orchestration app while taking full control of the AI stack.
Next step
Discuss your AI workflow with us, or test the application yourself
We can suggest a plug-and-play setup or a bring-your-own-AI structure for LSP margins.