Suki Ambient API
REST + WebSocket API that powers ambient clinical documentation. Partners create an ambient session, seed it with patient/encounter context, stream microphone audio over WebSocket, end the session, then poll for and retrieve the generated clinical note, transcript, structured data, and recording. Supports 100+ medical specialties, 80+ spoken languages with English note output, speaker diarization, problem-based charting (PBC), and LOINC-coded note sections.
Suki Ambient API is one of 5 APIs that Suki AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 2 machine-runnable capabilities that can be deployed as REST, MCP, or Agent Skill surfaces via Naftiko and 2 JSON Schema definitions.
Tagged areas include Ambient, Clinical Documentation, Note Generation, Speech Recognition, and WebSocket. The published artifact set on APIs.io includes API documentation, an OpenAPI specification, SDKs, 2 Naftiko capability specs, and 2 JSON Schemas.