How does code-switching work in the demo?

The demo uses a multi-language streaming mode to switch between languages in real time, with no noticeable delays as you speak a mix of Spanish and English.

What problem does the model avoid when dictating on a phone?

Instead of requiring you to finish translation or preset a single language, the model handles mixed-language input and avoids gibberish that can occur when the phone tries to translate speech.

Where can I try the demo or playground?

You can try the demo via the AssemblyAI Playground link mentioned in the video, and you can test it via the API as well.

What steps are shown to test the model via the playground or API?

Open the playground, switch to Multi streaming mode, and start speaking in a mix of languages to observe real-time transcription; you can also explore the API for integration.

What model is being demonstrated in the video?

The video demonstrates AssemblyAI's universal model for real-time, multilingual speech-to-text.

Is there any latency in the transcription during the demo?

The speaker emphasizes that there is no latency and no delays in the transcription during real-time code-switching.

Code Switching in Real-Time | Universal-Streaming Speech-to-Text

AssemblyAI

Science & Technology3 min read6 min video

Feb 19, 2026|206 views|7

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Key Moments

TL;DR

Real-time, latency-free multi-language transcription across 6 languages.

Key Insights

Supports code-switching between six languages (Spanish, English, Italian, French, German, Portuguese) in a single streaming pass.

No latency due to forward-pass processing, enabling truly real-time transcription.

Highly relevant for bilingual speakers and conversations that mix languages, such as in South Florida.

Practical for building audio apps, transcription, and dictation workflows via API and Playground.

Demonstrations show seamless language switching without manual language toggling or delays.

INTRODUCTION: ADVANCING AUDIO AI WITH CODE-SWITCHING

AI progress has made audio applications a practical reality, and the speaker highlights a breakthrough: a universal streaming model that can switch between six languages in real time. The model runs a single forward pass, delivering apparent zero latency, and supports Spanish, English, Italian, French, German, and Portuguese. This capability unlocks new possibilities for transcription, voice-activated workflows, and dictation in multilingual contexts. In short, developers can build more natural, inclusive audio experiences that respect how people actually speak, rather than forcing language rigidity into apps.

CODE-SWITCHING IN REAL-TIME: HOW IT WORKS

At the core is streaming multi-language support configured through a 'multi' setting, enabling instant code-switching between languages within a single pass. The demonstration shows Spanish and English interleaved in real time, with no apparent delays or reprocessing, illustrating the model's capacity to handle bilingual discourse. The six target languages are supported in one model, removing the need to switch keyboards or constrain input language. The speaker points to the playground and API as accessible routes for developers to experiment and integrate this into their apps.

REAL-WORLD CONTEXTS AND CHALLENGES

The speaker grounds the technology in everyday speech, citing bilingual communities where conversations blend languages mid-sentence. In such contexts, traditional transcription tools struggle because input can shift languages unpredictably. The universal model claims to accommodate this flow, reducing misunderstandings and transcription gaps. This matters for households, friendships, and professional workflows where bilingual communication is natural. The benefit extends beyond casual chat to note-taking, messaging, and hands-free control, where language fluidity previously posed a friction point.

LIVE DEMONSTRATION AND TAKEAWAYS

A live test demonstrates real-time transcription with rapid language switching, reinforcing the product's responsiveness claim. The speaker alternates among languages, noting 'no delays' as phrases are captured on the fly. The demonstration provides concrete evidence that the model can maintain transcription accuracy as speech crosses language boundaries. This section emphasizes practical takeaways: you can try the playground, or call the API to evaluate performance in your own environment, and consider how code-switching capabilities might improve user experience in multilingual apps or services.

HOW TO GET STARTED: PLAYGROUND, API, AND APPLICATIONS

The final emphasis is practical accessibility: access via the Playground and API, with streaming set to multi to enable cross-language transcription. The speaker encourages developers to experiment with audio apps, transcription services, and dictation workflows, highlighting faster prototyping and real-time feedback. Use cases include multilingual customer support, real-time subtitling, and hands-free multilingual input. The message is clear: try it, evaluate its reliability in your own context, and consider how this technology could reduce friction for bilingual users while broadening the reach of voice-based interfaces.