> ## Documentation Index
> Fetch the complete documentation index at: https://www.bolna.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Smallest Transcriber (Speech to Text)

> Integrate Smallest AI's Pulse model with Bolna Voice AI agents for ultra-low-latency, high-accuracy speech-to-text transcription.

## 1. What is Smallest STT?

[Smallest AI](https://smallest.ai/) Speech-to-Text (STT) is powered by **Pulse**, a high-accuracy automatic speech recognition engine built for real-time transcription across 31 documented languages. Pulse is designed to deliver sub-100ms first-token latency, making it well-suited for live conversational voice agents where every millisecond of turnaround time matters.

## 2. Key Features of Smallest STT

Pulse offers a set of capabilities tailored for real-time, production voice AI:

* **Ultra-Low Latency**: Sub-100ms first-token latency at single concurrency, staying around \~300ms even at 100 concurrent requests — rated for top-tier speed and P95 latency in third-party benchmarks.

* **Broad Language Coverage**: Supports 21 individual languages plus regional auto-detect aggregators in streaming mode, including English, Hindi, major European languages, East Asian languages, and South Indian languages (Tamil, Telugu, Kannada, Malayalam).

* **Speaker Identification**: Automatic multi-speaker detection with per-word and per-utterance speaker labels.

* **Timestamps and Punctuation**: Word- and sentence-level timing information with automatic punctuation insertion.

* **Noise Handling**: Background noise processing built into the model itself, reducing the need for separate noise-suppression steps.

## 3. How Bolna Uses Smallest for STT

Bolna AI integrates Smallest AI's Pulse model to power low-latency transcription for voice agents. Here's how Bolna leverages Smallest for STT:

* **Real-Time Streaming Transcription**:
  Bolna connects to Pulse's streaming endpoint to convert caller speech into text with minimal delay, keeping conversations feeling natural and responsive.

* **Multilingual and Code-Mixed Support**:
  With Pulse's broad language coverage and code-switching support, Bolna voice agents can transcribe conversations that move between English and regional languages within the same call.

* **Speaker-Aware Transcripts**:
  Bolna uses Pulse's speaker identification to keep agent and caller speech clearly separated in the transcript, improving downstream context handling.

* **Privacy-Conscious Transcription**:
  Pulse's built-in data redaction helps Bolna avoid persisting sensitive information like personal details or payment card data in call transcripts.

## 4. List of Smallest models supported on Bolna AI

| Model | Description                                                       |
| ----- | ----------------------------------------------------------------- |
| pulse | Streaming and batch speech-to-text across 31 documented languages |

Note: Set `model` explicitly to `pulse` when configuring the transcriber — Bolna defaults to `nova-2` at the field level if no model is specified.

## Conclusion

Smallest AI's Pulse model gives Bolna AI ultra-low-latency, multilingual speech-to-text for real-time voice agents. By integrating Pulse's speed, code-switching support, and built-in data redaction, Bolna helps businesses deploy responsive, privacy-conscious voice AI across customer service, healthcare, and enterprise automation.

For related integrations:

* Refer to [Smallest AI's Pulse quickstart](https://docs.smallest.ai/models/documentation/speech-to-text-pulse/quickstart) for the full API reference.
* Explore [Smallest AI's Lightning synthesizer](/docs/integrations/voice/smallest) for a complete Smallest ecosystem.
* You can also connect your own Smallest account and use it with [Bolna AI](https://platform.bolna.ai/auth/smallest)