Speech-to-Text and Transcription Use Cases
Turning spoken words into text used to need a typist; now AI does it in near real time. This opens up useful applications across meetings, support and accessibility.
This article covers where it works well and where accuracy wobbles.
Common Uses
- Meeting notes and searchable recordings.
- Captions and subtitles for accessibility.
- Logging and analysing support calls.
- Hands-free dictation for busy staff.
What Affects Accuracy
Clear audio, a single speaker and common accents give excellent results. Background noise, crosstalk, strong accents and technical jargon reduce it, so a quick human tidy-up is wise for anything published. For internal notes a rough transcript is usually fine; for subtitles or legal records, expect to budget for a review pass.
Privacy First
Recording and transcribing speech captures personal data, so handle it with the same care as any other sensitive record.
- Tell people when calls are transcribed.
- Check where the audio is processed and stored.
- Delete recordings you no longer need.
Frequently Asked Questions
Can it tell speakers apart?
Many tools can label different speakers, though accuracy drops when people talk over one another or the audio is poor.
If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.