Deepgram vs. AssemblyAI

Learn why customers choose AssemblyAI to build powerful speech-to-text products that exceed industry standards.

• Best-in-class Speech AI models
• Unlimited concurrency without extra costs
• Trusted by developers

At a glance: Deepgram vs. AssemblyAI

The most accurate speech-to-text models on the market with top performance rankings across major industry benchmarks.

Feature
AssemblyAI
Universal
Deepgram
Nova-2
Word Accuracy Rate
93.3%
90.76%
Word Error Rate (English)
6.7%
9.24%
Proper Nouns (PWER)
13.87%
21.14%
Alphanumerics (WER)
4.00%
4.97%
Text Formatting (U-WER)
10.06%
21.14%
Accented Speech (WER)
11.05%
13.26%
Average across all datasets
“The customer experience with our previous provider had significant room for improvement—the pricing model wasn't ideal for our needs, we encountered some concurrency constraints, and the customer service response times were longer than we hoped."
Mark Barbir, CEO at Earmark

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