Three building blocks
Voice features come down to three capabilities you can mix: speech-to-text (turning audio into text), text-to-speech (turning text into spoken audio), and full voice interfaces that combine both with an AI in the middle for back-and-forth conversation.
Most products need one or two of these, not all three — we scope to what your use case actually calls for.
- Speech-to-text: transcription, captions, voice notes, dictation
- Text-to-speech: narration, accessibility, IVR prompts, audio content
- Real-time vs. batch transcription depending on your use case
- Voice assistants that listen, think, and speak back
- Speaker labeling (diarization) for multi-person audio
- Multi-language and accent handling
Real-time vs. recorded, and where it runs
Live captioning or a voice assistant needs low-latency streaming; transcribing recorded calls can run in batch and optimize for accuracy instead.
Some speech models run on-device for privacy and offline use; others are cloud APIs with higher accuracy. We match the approach to your latency, cost, and privacy needs.
- Streaming APIs for live captions and voice agents
- Batch processing for recorded calls, meetings, and media
- On-device models for offline or privacy-sensitive audio
- Noise handling and domain-vocabulary tuning
- Fallbacks when audio quality is poor
What to expect on accuracy
Modern speech-to-text is strong but not perfect — accuracy drops with heavy background noise, strong accents, overlapping speakers, and specialized jargon.
For anything high-stakes, such as medical or legal audio, we keep a human-review step rather than trusting a raw transcript.
- Accuracy varies with audio quality, accent, and domain terms
- Custom vocabulary boosts recognition of your product and industry words
- Human review for high-stakes transcripts
- Confidence scores surfaced so low-certainty spans get flagged
More on ai integrations
Frequently asked questions
Can it transcribe in real time?
Yes, with streaming speech-to-text for live captions or voice agents. There's a small latency and a slight accuracy trade-off versus batch processing recorded audio, which we'll weigh for your use case.
Can the voice sound like a specific person?
Cloning a real person's voice requires their explicit consent and raises legal and ethical issues, so we don't do it without clear authorization. There are excellent licensed synthetic voices for most needs.
How accurate is transcription really?
Very good on clear audio, noticeably worse with noise, crosstalk, or heavy jargon. For critical content we add custom vocabulary and keep a human check rather than publish raw output.