
Pulse — Speech-to-Text by Smallest AI Overview, Features & Pricing (2026)
Pulse by Smallest AI is a cutting-edge speech-to-text API designed for real-time transcription across more than 38 languages. With a remarkable latency of just 64 milliseconds, it accommodates various global accents and dialects, making it suitable for diverse applications.
This tool is ideal for businesses and developers looking to integrate advanced speech recognition capabilities into their products. Pulse offers features such as automated speaker labeling, real-time sentiment analysis, and language identification, enhancing the transcription experience beyond mere text conversion.
Whether for customer service, content creation, or accessibility solutions, Pulse provides a scalable and efficient solution for all speech-to-text needs.
- Real-time Transcription — Provides instant speech-to-text conversion across 38+ languages.
- Low Latency — Achieves transcription with a latency of just 64 milliseconds.
- Global Accent Support — Capable of understanding various accents and dialects for accurate transcription.
- Automated Speaker Labeling — Identifies and labels different speakers in the transcription.
- Real-time Sentiment Analysis — Analyzes the sentiment of the speech as it is being transcribed.
- Language Identification — Automatically detects the language being spoken for seamless transcription.
Pulse offers a flexible pricing model that scales with usage:
- Start with $10 in free credits.
- Pay only for what you use, with no long-term commitments.
- Enterprise plans are available for teams operating at scale, featuring tailored pricing and dedicated support.
- Pricing per call varies based on selected models and architecture, with rates ranging from $0.09 to $0.21 per minute.
- Additional costs include $0.01 per minute for hosting and $0.009 per minute for the Speech to Text layer.

Why to choose Pulse — Speech-to-Text by Smallest AI?
- Real-time transcription across 38+ languages with a low latency of 64ms, enabling quick and efficient processing.
- Advanced features such as automated speaker labeling, real-time sentiment analysis, and language identification enhance the transcription experience.
- Scalable pricing model allows users to pay only for what they use, making it flexible for both small projects and large-scale deployments.
- Support for global accents and dialects ensures accurate transcription for diverse user bases.



