Google Cloud Speech-to-Text
Accurately transcribe speech into text with an API powered by Google's AI technologies.
Languages Supported
125+
Recognition Methods
Batch, Real-time Streaming
Free Tier
60 minutes per month
About Google Cloud Speech-to-Text
Google Cloud Speech-to-Text provides a highly accurate and flexible service for audio transcription. It offers a choice of pre-trained models tailored for specific use cases like medical dictation, telephony, and video, including the latest Chirp models for enhanced accuracy. The API supports both synchronous and asynchronous recognition for short or long-form audio, as well as real-time streaming transcription. Key features include speaker diarization, automatic punctuation, and the ability to adapt the model to specific vocabularies. It's a fully managed, self-serve solution that scales with demand and integrates natively with other Google Cloud services for storage and analysis.
Core Features
Speaker Diarization
Identifies and separates different speakers in the audio.
Automatic Punctuation
Adds punctuation and formatting to transcribed text.
Model Adaptation
Customize speech recognition to recognize specific words or phrases.
Multi-Channel Recognition
Processes audio from multiple channels separately.
Content Filtering
Filters inappropriate content in text results.
Transcription Models
Chirp Models
Next-generation universal speech models for high accuracy across many languages.
Standard Model
For general-purpose audio transcription.
Medical Model
Tuned for medical terminology and clinician dictation.
Telephony Model
Optimized for audio captured from telephone calls.
Common Use Cases
Contact Center Intelligence
Transcribe agent and customer conversations for analytics and quality assurance.
Voice Applications
Power voice control systems, IVR, and voice search.
Media Captioning
Generate subtitles and captions for audio and video content.
Clinical Documentation
Accurately capture notes from clinician-patient interactions.