Streaming and prerecorded transcription
Nova speech recognition models transcribe live streams and recorded audio. Available capabilities include speaker diarization, automatic language detection, and formatting for punctuation, dates, and currency.
Speech-to-text, text-to-speech, and voice agent APIs for developers and enterprises.
Deepgram is a voice AI platform for developers, product teams, and enterprises building applications around spoken conversations. It provides APIs for speech-to-text, text-to-speech, voice agents, and audio intelligence, with support for live audio and prerecorded transcription.
Teams can integrate individual speech services or use the unified Voice Agent API to combine recognition, speech generation, and language model orchestration. Enterprise options include custom speech models and deployment choices for different infrastructure and data requirements.
Nova speech recognition models transcribe live streams and recorded audio. Available capabilities include speaker diarization, automatic language detection, and formatting for punctuation, dates, and currency.
Flux STT includes turn detection and interruption handling for real-time voice agents. Flux Multilingual supports multiple languages within a single conversation.
Flux TTS generates speech for live conversations, maintaining tone, expression, and continuity across the conversation.
The Voice Agent API combines STT, TTS, and LLM orchestration. It maintains conversation history and supports function calling, prompt updates, and response injections to connect agents with application logic and external systems.
Speech-to-text add-ons can identify entities such as names, organizations, and locations, redact sensitive personal information, and use keyterm prompting to improve recognition of domain terminology.
Enterprises can commission speech-to-text models trained on proprietary or novel datasets for specialized vocabulary and edge-case audio scenarios.
Build agents that converse with callers, retrieve information from back-office systems, and execute domain-specific actions through application logic.
Use transcripts as the input for meeting-note applications, with speaker labels and readable formatting helping organize conversations.
Process archived calls or other recordings to extract named entities and prepare redacted transcripts for downstream analysis.
Embed speech recognition and speech generation into communications or conversational AI platforms that serve other developers and businesses.
API pricing depends on the selected speech service, model, usage, and add-ons. Free evaluation access is advertised; check current credit allowances, any expiry, prepaid commitments, discounts, and enterprise terms before use.
Deepgram supports cloud and self-hosted deployments. Discuss dedicated runtime options and regional endpoint availability with the provider for your infrastructure and data requirements.
The pricing page lists 45+ languages for Nova models. Language and feature availability vary by model; Flux offers English and multilingual options for conversational recognition.
The architecture uses a partner-provided transport layer to stream audio into Deepgram and play generated speech back to users. Telephony partners can connect through PSTN or SIP; your application supplies business logic and integrations.
Os dados de tráfego são apenas para referência.
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