Transcribing audio
Converting recorded speech into timed, accurate text.
Task automation exposure
Very high exposure
Exposure basis
[v3/median] score 88 (A 88 / B 95 / C 80, spread 15) Specialized medical speech‑to‑text models can now generate highly accurate, timestamped transcripts that meet professional standards, with only occasional minor errors. (capable: Domain‑specific speech‑to‑text model (e.g., Nuance Dragon Medical, Deepgram Medical))
2 capabilities · 0 occupations
Basis
How exposure was assessed
[v3/median] score 88 (A 88 / B 95 / C 80, spread 15) Specialized medical speech‑to‑text models can now generate highly accurate, timestamped transcripts that meet professional standards, with only occasional minor errors. (capable: Domain‑specific speech‑to‑text model (e.g., Nuance Dragon Medical, Deepgram Medical))
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Capabilities
AI capabilities involved
6 models tracked · strongest: ElevenLabs v3 (alpha)
15 models tracked · strongest: GPT-5
Occupations
Occupations that perform this task (0)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
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Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.