Malay Speech-to-Text Built for Production

Built for every native speaker acros Malaysia at sub-70ms latency

Click anywhere to start transcribing

Experience pulse speech to text

Malay Speech-to-Text Built for Production

Built for every native speaker acros Malaysia at sub-70ms latency

Click anywhere to start transcribing

Experience pulse speech to text

Malay Speech-to-Text Built for Production

Built for every native speaker acros Malaysia at sub-70ms latency

Click anywhere to start transcribing

Experience pulse speech to text

Malay Transcription Benchmarks

Malay Transcription Benchmarks

Malay Transcription Benchmarks

Model
FLEURS
Streaming
FLEURS
Batch
Smallest
5.9% WER
5.2% WER
Scribe v2
9.8% WER
8.6% WER
Deepgram
14.2% WER
12.5% WER
Whisper large v3
8.7% WER
7.7% WER

World’s Most Advanced Speech Intelligence

Go beyond text with automated speaker labeling, real-time sentiment analysis, and intelligent language identification for global production workloads.

World’s Most Advanced Speech Intelligence

Go beyond text with automated speaker labeling, real-time sentiment analysis, and intelligent language identification for global production workloads.

World’s Most Advanced Speech Intelligence

Go beyond text with automated speaker labeling, real-time sentiment analysis, and intelligent language identification for global production workloads.

Language overview

Malay language overview

About

Austronesian language spoken across Malaysia, Brunei, and parts of Indonesia. Uses Latin script (Rumi) and Arabic script (Jawi). Simple phonology with no tonal distinctions.

Speakers

33 million

Official language

Malaysia, Brunei, Singapore

Accents

Peninsular Malay, Sarawak, Sabah, Bruneian Malay

Spoken language demographic

Malaysia, Brunei, Indonesia, Singapore

For Developers

Automate.Orchesrate. Dominate with code

Build real-time speech pipelines with Node and Python SDKs. Audio in, transcription out — no middleware, no complexity.

For Developers

Automate.Orchesrate. Dominate with code

Build real-time speech pipelines with Node and Python SDKs. Audio in, transcription out — no middleware, no complexity.

For Developers

Automate.Orchesrate. Dominate with code

Build real-time speech pipelines with Node and Python SDKs. Audio in, transcription out — no middleware, no complexity.

01const url = 'https://api.smallest.ai/waves/v1/pulse/get_text';02const options = {03 method: 'POST',04 headers: {05 Authorization: 'Bearer <BearerAuth>',06 'Content-Type': 'application/octet-stream'07 }08};09 10try {11 const response = await fetch(url, options);12 const data = await response.json();13 console.log(data);14} catch (error) {15 console.error(error);16}

Certified & Compliant

Guarding your data with enterprise security

Certified & Compliant

Guarding your data with enterprise security

Certified & Compliant

Guarding your data with enterprise security

Proactive Defense

Anticipating threats before they emerge, thanks to our advanced monitoring.

Proactive Defense

Anticipating threats before they emerge, thanks to our advanced monitoring.

Proactive Defense

Anticipating threats before they emerge, thanks to our advanced monitoring.

Frequently
asked questions

Is Streaming supported?

Does Pulse handle Malay-English code-switching?

What's the latency?

Is speaker diarization built in?

What makes Pulse different from Deepgram or AssemblyAI?

Can I use Pulse for real-time voice agents?

Languages

From your city to Timbuktu,
we hear you.

Languages

From your city to Timbuktu,
we hear you.