Local vs cloud transcription
Choose by where audio is processed, what your device can handle and whether you need a shared workspace.
Choose local when the recording must stay on your device and fits the tool limits. Consider a cloud service for larger jobs or shared review, after checking its features and data policies.
Compare the working conditions
| Decision | Local browser transcription | Typical cloud transcription |
|---|---|---|
| Audio processing | Current device | Provider infrastructure |
| Media upload | Not required for a selected local file | Usually required |
| Compute speed | Depends on the device, browser, model and backend | Depends on the provider and plan |
| Long files | Limited by browser memory and product limits | Often better supported |
| Team collaboration | Export and share manually | Often built into accounts and workspaces |
| Recovery | Browser storage and your own exports | Provider storage and account controls |
Choose local for a self-contained task
Local processing fits a recording you can review yourself and export as text or captions. Whisper Web handles up to 300 MB and 20 minutes in the standard tool, or a local file up to 1 GB and 1 hour in the large-file tool.
Your device provides the memory and compute. Start with a short sample on the hardware you will use; a larger model needs a larger download and may run slowly.
Choose cloud for features you need
For recordings beyond those limits, batch jobs, automatic speaker labels or shared review, look for a service that explicitly supports the required features. Whisper Web does not provide speaker labels or a team workspace.
Review the provider's retention, region, subprocessors, account security and deletion controls before sending a sensitive recording.
Common questions
Is local transcription always more private?
Not necessarily. It removes the provider upload from the media path, but the final privacy outcome still depends on device security, backups and exported files.
Is cloud transcription always faster?
No. Speed depends on upload time, queueing, provider compute, local hardware, model size and recording length.
Can I use both workflows?
Yes. For example, use local processing for sensitive recordings within the tool limits and an approved cloud service for larger files or collaborative jobs.