Deepgram

Deepgram vs GCP

Discover why developers choose to build with Deepgram's Speech to text API over Google Cloud Platform (GCP).

  • Get 2x cheaper speech-to-text transcription vs GCP.
  • -30% lower word error rate. 40x faster inference time.
  • Flexible Deployment: Cloud, On-prem, & VPC.

Based on 250+ reviews

Why switch from Google Cloud?

Build with enterprise-grade speech recognition that's faster, more accurate, and affordable. No compromises.

Flexible deployment

Choose from self-hosted (on-premise and VPC) or managed service options with seamless integrations for minimal disruption to your workflows.

Custom model training

Deepgram offers tailored ASR models optimized with customer-specific data, ideal for industries with specialized jargon, accents, or unique speech patterns.

Enterprise security

Protect customer data privacy and ensure regulatory compliance with HIPAA-compliant transcription.

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Innovation leader in Voice AI

Deepgram's deep learning models are optimized for speech data and trained on diverse datasets, delivering industry-leading performance in pre-recorded and real-time transcription.

Fast and accurate transcription

Deepgram's speech-to-text outshines Google in both speed and accuracy, with domain-specific use case models (e.g. Nova-2 Medical) and custom training options that will give you a competitive edge.

Go beyond transcription

Build a dynamic full-stack voice agent with Deepgram's Voice AI platform, using speech-to-text, custom LLM, and text-to-speech models. Enjoy optimized performance and low latency with our open-source code.

Raising the bar for ASR performance

All the features. Better performance. Lower cost.

69%more accurate than Google
40xfaster than Google
2xcheaper than Google
Google LogoGoogle
VS
Deepgram LogoDeepgram
22%
Word Error Rate
7%
1149.1s
Speed
29.8s
$0.016
Cost
$0.0043

Word Error Rate (WER) [%] Speed (Median Inference Time [Sec] Per Audio Hour). Lower is better.

Speech to Text

Power your products with world-class speech recognition. Everything developers need to build with confidence and ship faster. Unmatched performance guaranteed:

  • Accuracy: 30% lower word error rate (WER)
  • Speed: up to 40x faster inference time
  • Cost: 3-7x lower price
Image of Deepgram translating a audio file into text.

Text to Speech

Generate lightning fast, human-like voices for real-time AI and high throughput applications.

  • Quality: Human-like tone, rhythm, and emotion
  • Speed: less than 250 ms latency
  • Scale: Cost-efficient and optimized for high-throughput applications
Image of Deepgram translating a text file into audio.

Voice Agents

A unified voice-to-voice API that enables natural-sounding conversations between humans and machines. With one powerful API, create LLM-powered AI agents that listen, think, and speak with the same intelligence and emotive quality that a person can.

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Trusted by startups and enterprises

Discover the power of our product through real stories.

Deepgram's Nova-3 model is a remarkable leap forward in data extraction. The enhanced contextual information makes transcriptions more actionable, turning data into valuable insights.

Matt BakerVP of Engineering, Gladly
Gladly | Quote logo logo

Deepgram’s innovative Flux model redefines Speech-to-Text by integrating turn detection, leveraging acoustic and textual cues to accurately determine turn endings.

David ZhaoCTO, Livekit
Livekit | quote logo logo

Deepgram’s launch of Flux is a perfect example of that vision coming to life. By embedding turn-taking directly into recognition, Flux solves one of the hardest challenges in conversational AI.

Jordan Dearsley

Where speech recognition and turn detection happen in the same model, solves challenges we've been wrestling with. It's exactly what voice agent developers need, and we’re excited to bring Flux into the Pipecat ecosystem.

Kwindla Hultman Kramer headshot
Kwindla Hultman KramerCEO, Daily
Daily | Testimonial logo

We saw a massive jump in accuracy with Nova-3. Previous models recognized only 10% of critical veterinary terms, but with Nova-3 and keyterm prompting, we're seeing a 625% improvement.

Brendan ChanCTO, Talkatoo
Talkatoo | Quote logo logo

I was floored when I tested Nova-3 against dozens of product names that do not exist as real words. Nova-3 boosted cognitive recognition from almost no capability to near 100% accuracy.

Roya BaharlooSenior AI Scientist, Stream It
Stream It | Quote logo logo

As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names.

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Adam LarsenCTO, Creovai
Creovai | testimonial logo

I’d recommend Deepgram to any B2B SaaS company that’s looking for the best-in-breed transcription and customer service and customer success.

Josh Schachter headshot
Josh SchachterCEO, UpdateAI

Not only is Deepgram’s technology the most advanced we found, but working with them has been an absolute pleasure.

Craig Akal headshot
Craig AkalCo-founder/Director, Elerian AI
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