Google Cloud → AWS and Azure
AWS and Azure equivalents of Cloud Speech-to-Text
The closest AWS equivalents of Google Cloud Cloud Speech-to-Text are Amazon Transcribe and AWS HealthScribe; on Azure, Azure Speech, Text Analytics for health and Microsoft models in Foundry (MAI, Phi, Model Router).
About Cloud Speech-to-Text
| Provider | Google Cloud |
|---|---|
| Status | Generally available |
| What it is | Batch and streaming transcription, including Chirp 3 and medical conversation and dictation models. |
| Documentation | docs.cloud.google.com |
| Pricing | Official pricing page |
Mappings (2)
| Capability | AWS | Match (GCP vs AWS) | Azure |
|---|---|---|---|
| Speech to text | Amazon Transcribe | Direct match | Azure Speech |
| Ambient clinical documentation (AI scribe) | AWS HealthScribe | Partial match | Azure Speech, Text Analytics for health, Microsoft models in Foundry (MAI, Phi, Model Router) |
Speech to text Direct match
Amazon Transcribe maps to Cloud Speech-to-Text, with batch and streaming recognition and models such as Chirp 3.
- Medical transcription uses Speech-to-Text's medical_conversation and medical_dictation models rather than a separate service.
- Model choice (Chirp 3 and others) affects languages and features.
Ambient clinical documentation (AI scribe) Partial match
AWS HealthScribe has no direct counterpart. Combine Speech-to-Text medical models (medical_conversation) with Gemini to draft clinical notes.
- You build the summarization prompts, evidence links, and safety checks yourself.
- Speech-to-Text medical models are in the v1 API.