Overview
Pulse provides streaming and pre-recorded speech-to-text for voice agents, live captions, meetings, and recorded conversations. Its real-time API uses WebSocket connections; recorded files use an HTTP endpoint. Smallest AI reports sub-100ms time to first token at one concurrent request. Latency varies with concurrency and workload.
Key features
Transcription capabilities include speaker labels, word and utterance timestamps, keyword boosting, language detection, and inverse text normalization. Language availability differs between streaming and batch modes and between deployment regions; consult the current Pulse model card for the supported language matrix.
Pulse Pro is a separate English-only model for pre-recorded audio. It is designed for workloads such as call archives, meetings, and financial-audio transcription. Its model card reports 5.42% average word error rate on the ESB benchmark. Benchmark results depend on the dataset and evaluation setup; Pulse Pro currently does not support the live streaming endpoint.
PII and PCI redaction are optional request controls for masking personal and payment-card information in supported transcripts. The documented redaction languages are English and Hindi. Teams handling regulated data should confirm the applicable deployment, contractual terms, and security documentation with Smallest AI rather than infer compliance from a feature label.
Use cases
Smallest AI publishes security information through its Trust Center and offers on-premise deployment for enterprise customers. These options should be assessed against the requirements of the intended application.
Related links
Pulse model card: https://docs.smallest.ai/models/model-cards/speech-to-text/pulse Pulse Pro model card: https://docs.smallest.ai/models/model-cards/speech-to-text/pulse-pro Streaming API capabilities: https://docs.smallest.ai/models/documentation/speech-to-text-pulse/realtime-web-socket/features Smallest AI Trust Center: https://security.smallest.ai/ On-premise deployment: https://smallest.ai/on-premise
Pricing
Freemium
Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.
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Use Cases
- Teams use Pulse to stream transcripts into conversational systems that need fast turn-taking for voice AI.
- Teams use Pulse for AI notetakers to combine transcription, speaker separation, and timestamps for searchable meeting records.
- Teams use Pulse in call centers to transcribe conversations for QA, analytics, and automation.
- Teams use Pulse for live captions to provide real-time readable text for live experiences.
- Teams use Pulse for podcast transcription to turn episodes into searchable transcripts.
- Teams use Pulse for interview transcription to capture and organize multi-speaker interviews.
Features
Real-time WebSocket and pre-recorded HTTP transcription
Multilingual recognition with mode- and region-specific availability
Speaker diarization and word/utterance timestamps
Keyword boosting and inverse text normalization
Optional PII/PCI redaction for supported languages
Pulse Pro for English pre-recorded transcription
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