In testing, Adobe Speech to Text performed exceptionally well, accurately transcribing clean audio with minimal errors. The feature was also able to handle multiple speakers and varying accents with ease. However, in noisy environments or with poor audio quality, the transcription accuracy suffered.
| Limitation | Workaround | |------------|-------------| | Live transcription stops after 2 hours continuous | Restart manually | | Cannot diarize more than 6 distinct speakers per track | Split into separate audio tracks | | Custom lexicon limited to 5,000 entries | Contact Adobe Enterprise for larger | | No offline translation (requires cloud) | Use on-device transcription only | | Exports .AVC but not .SCC (Scenarist) | Convert via third-party tool | adobe speech to text for premiere pro 2025 v21 exclusive
One-click removal of "uhs" and "ums" across the project. Workflow Impact Efficiency Gains In testing, Adobe Speech to Text performed exceptionally
Real-time text generation during playback in the Source Monitor. 2. Multi-Speaker Detection 2.0 Multi-Speaker Detection 2
In testing, Adobe Speech to Text performed exceptionally well, accurately transcribing clean audio with minimal errors. The feature was also able to handle multiple speakers and varying accents with ease. However, in noisy environments or with poor audio quality, the transcription accuracy suffered.
| Limitation | Workaround | |------------|-------------| | Live transcription stops after 2 hours continuous | Restart manually | | Cannot diarize more than 6 distinct speakers per track | Split into separate audio tracks | | Custom lexicon limited to 5,000 entries | Contact Adobe Enterprise for larger | | No offline translation (requires cloud) | Use on-device transcription only | | Exports .AVC but not .SCC (Scenarist) | Convert via third-party tool |
One-click removal of "uhs" and "ums" across the project. Workflow Impact Efficiency Gains
Real-time text generation during playback in the Source Monitor. 2. Multi-Speaker Detection 2.0
