Question 1

What's the difference between OCI Speech and OCI Language?

Accepted Answer

OCI Speech converts between audio and text (speech-to-text and text-to-speech). OCI Language analyzes text that already exists—such as detecting sentiment, extracting key phrases, or identifying entities. A common pattern is: use OCI Speech to transcribe audio into text, then use OCI Language to analyze that transcript.

Question 2

When should I use OCI Speech?

Accepted Answer

Use OCI Speech when you need to turn spoken audio into text (captions, call transcription, voice commands) or turn text into spoken audio (IVR prompts, accessibility narration, voice assistants). It’s a good fit when you want a managed API instead of building and training speech models yourself, and when your application already runs on OCI or needs Oracle-friendly integration and governance.

Question 3

How much does OCI Speech cost?

Accepted Answer

OCI Speech is typically priced based on usage volume—commonly the amount of audio processed for speech-to-text and the amount of text or audio generated for text-to-speech. Total cost depends on factors like minutes of audio, request frequency, batch vs real-time processing, selected features, and the region. For accurate numbers, use the OCI Pricing page and estimate with your expected monthly audio minutes and TTS output.

OCI Speech

Definition

Real-World Example

Related Terms

Cloud Provider Equivalencies

Explore More Cloud Computing Terms