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Pulse — Speech-to-Text by Smallest AI

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• Updated Aug 27, 2026, 03:12 PM

Pulse is a speech-to-text API developed by Smallest AI, designed for real-time transcription at sub-70ms latency.

Use Cases ▼
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Live captions and subtitles for broadcasts and streaming

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Real-time transcription for voice agents and conversational AI

03

Contact center call analytics and quality assurance

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Meeting transcription and note-taking applications

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Automated subtitle generation for video content

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Multilingual content transcription and translation workflows

07

Emotion and sentiment monitoring in customer conversations

What Problem It Solves ▼

Pulse solves the challenge of integrating fast, accurate, multilingual speech-to-text into products. It provides a single API for real-time transcription with support for global accents, while adding speaker and emotion intelligence that typical speech-to-text services lack.

Key Features ▼
✓

Low latency: sub-70ms (64ms) transcription

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Supports 38+ languages and global accents/dialects

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Includes speaker labeling, sentiment analysis, and emotion recognition

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Simple API integration

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Language identification for multilingual workloads

Overview

Pulse is a speech-to-text API developed by Smallest AI, designed for real-time transcription at sub-70ms latency. According to the product page, it supports 38+ languages and global accents/dialects while maintaining low word error rates. The service is delivered through one API and is intended for applications like voice agents, transcription, and speech processing.

Full Description ▼

Beyond raw transcriptions, Pulse includes speech intelligence features such as automated speaker labeling, real-time sentiment analysis, language identification, and emotion recognition. These capabilities are positioned to make conversations more empathetic and to support global, multilingual workloads. The front page emphasizes speed without losing accuracy and frames Pulse as a comprehensive voice AI platform.

Smallest AI offers Pulse as a cloud-hosted API, with a sign-up flow and sales contact for demos. Public pricing details are not listed on the page. The platform appears to target developers and enterprises seeking to integrate fast, accurate multilingual speech-to-text into their products.

Pros & Cons

Pros

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Low latency: sub-70ms (64ms) transcription

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Supports 38+ languages and global accents/dialects

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Includes speaker labeling, sentiment analysis, and emotion recognition

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Simple API integration

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Language identification for multilingual workloads

Cons

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Pricing not publicly listed

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Cloud-only; no self-hosted option

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Limited public technical documentation found on page

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Potential dependency on Smallest AI's platform

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Accuracy claims not independently verified

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