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We take transcription quality seriously and understand its crucial importance for our customers. Our transcription accuracy primarily depends on the AI models we use, carefully selected to balance both accuracy and processing speed.

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Common Transcription Issues and Solutions

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1. Wrong Transcript for Special Words or Terms

Issue: Specific words (like “retell”) or domain-specific terms (such as medical terminology) are missing from transcripts. Solution: Use Boosted Keywords
  • Add custom keywords to enhance the model’s vocabulary
  • Support for up to 100 custom keywords
Boosted Keywords Configuration

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2. Transcription error due to background noise / speech

Play with denoising mode setting to see if it helps.

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3. Transcription error due to sentence being cut off

If the transcriber finalizes a sentence before the caller finishes, try Optimize for accuracy under Transcription Mode. For a problem limited to one conversation or subagent node, use a node transcription override so the rest of the flow keeps its global setting. With Custom Settings, you can also adjust the provider’s endpointing, then test with the phrases that were cut off.

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FAQ

If the background noise level is not particularly high, this is often caused by the denoising mode filtering out short, low-energy responses. Try setting the denoising mode to No Denoising — this preserves more of the raw audio signal and can significantly improve ASR accuracy for brief utterances when the environment is relatively quiet.