AssemblyAI vs. Deepgram for batch transcription: accuracy, turnaround, and pricing

When it comes to batch transcription of pre-recorded audio, AssemblyAI's Universal-3.5 Pro model stands out for its superior accuracy in capturing critical entities like names, numbers, and domain-specific terms compared to Deepgram. This model not only offers a 37% improvement in missed entity rate for emails and significant gains for medical terms and other high-stakes tokens but also provides the fastest turnaround time among AssemblyAI's offerings, transcribing a 5-minute file in approximately 9 seconds. The pricing is straightforward at $0.21 per hour of audio, with no minimums and volume discounts, and the model supports 18 languages with the possibility of automatic fallback to Universal-2 for 99-language coverage. Migration from Deepgram to AssemblyAI is simplified to a one-parameter change, making it an appealing choice for production batch workloads where accuracy is crucial, while Deepgram remains a viable option for general conversational audio.

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