Multimodal
Speech-to-text
Speech-to-text converts audio into written text.
Quick definition
Speech-to-text converts audio into written text.
- Category: Multimodal
- Focus: cross-modal understanding
- Used in: Analyzing screenshots or images with text questions.
What it means
It powers dictation, transcription, and voice interfaces. In multimodal workflows, speech-to-text often shapes cross-modal understanding.
How it works
Multimodal models align text, vision, and audio signals so one system can reason across modalities.
Why it matters
Multimodal features unlock workflows across text, audio, and images.
Common use cases
- Analyzing screenshots or images with text questions.
- Transcribing speech and summarizing meetings.
- Generating voice responses from text outputs.
Example
Transcribe a meeting recording.
Pitfalls and tips
Noisy inputs lead to unreliable results. Provide clear images, clean audio, and explicit instructions.
In BoltAI
In BoltAI, this appears when working with audio, images, or voice.
