Speech-to-Text
Definition
Google's service for converting audio to text with high accuracy, empowering applications to transcribe spoken language into written format.
Use Cases
- Google: Automatic captions for online videos to improve accessibility and searchability — Uses large-scale speech recognition to generate time-aligned captions from uploaded audio tracks, then aligns text with video playback for subtitles (Improves accessibility for deaf and hard-of-hearing viewers and makes video content easier to discover and navigate via text)
- Zoom: Live meeting captions to support accessibility and help participants follow along — Streams meeting audio to a speech recognition system to produce real-time text captions that are displayed during the call (Helps participants understand speech in noisy environments, supports accessibility needs, and reduces the need for manual note-taking)
- Twilio: Transcribing customer support calls for quality monitoring and analytics — Records or streams call audio from contact center workflows and sends it to a speech-to-text engine; stores transcripts for search, QA review, and downstream NLP (Enables faster call reviews, improves agent coaching, and provides text data for trend analysis and compliance workflows)
Provider Equivalents
- AWS: Amazon Transcribe
- Azure: Azure AI Speech (Speech to text)
- GCP: Cloud Speech-to-Text
- OCI: OCI Speech (Speech to Text)
Frequently Asked Questions
- What's the difference between Speech-to-Text and voice recognition?
- Speech-to-Text converts spoken words into written text (a transcript). Voice recognition (speaker recognition) tries to identify who is speaking. You can use both together—for example, transcribe a call and also label which speaker is the customer vs. the agent.
- When should I use Speech-to-Text?
- Use it when you need searchable, editable text from audio—like meeting captions, call center transcripts, voice notes, podcast indexing, or generating subtitles. It’s especially useful when you want real-time captions (streaming) or when you need to process many recordings automatically (batch).
- How much does Speech-to-Text cost?
- Pricing is usually based on audio duration (per second or per minute). Costs vary by features such as streaming vs. batch, model type (e.g., phone call vs. video), language, and optional add-ons like diarization (speaker separation) or custom models. Also consider indirect costs like storing audio/transcripts and any network egress charges if audio moves between clouds or regions.
Category: ai-ml
Difficulty: basic
See Also