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Google Speech to Text API Alternative

Faster, more accurate, and yeah, cheaper, too.

Innovators are leaving Google Speech-to-Text for Deepgram. Find out how easy it is to switch.

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Deepgram

COMPARE CAPABILITIES

All the features. Better performance. Lower cost.

Features and Capabilities
Deepgram
Google STT
Batch processing (1hr of audio)
30 seconds
1443 seconds
Streaming processing lag
<300 ms
800-2000 ms
General Word Error Rate (Average)
22%
24%
Trained Word Error Rate (Lowest)
5%
N/A
Tailored Speech Model
Deep Search (audio)
Diarization (separate per speaker)
Up to 10
Up to 6
Audio streams processed per CPU/GPU
300 per GPU
1 per CPU
Noise Reduction
Custom Vocabulary (keyword boosting)
Redaction
Punctuation
Profanity Filter
Numeral Formatting

Higher Speed

We measure in milliseconds, not seconds.

With our End-to-End Deep Learning Neural Network, pre-recorded and real-time streaming speed are built into our platform. That means you never have to sacrifice accuracy or cost to get faster transcripts. Get the speed you need to create real, human-like voice experiences.

Higher Accuracy

Beyond out-of-the-box accuracy.

With Deepgram, general speech model accuracy is not the end but the beginning. When your use case has unique terminology, jargon, accents, dialects, etc., it’s just not good enough. Our tailored speech model can improve upon your use case audio for even higher accuracy on the words that matter to you. Oh, and we can do it in weeks—not months.

Architectural Advantage

Built to scale.

One of the many advantages of an End-to-End Deep Learning Neural Network is not being stuck with slow, resource-hungry legacy speech models. Instead of single-streaming on CPUs, we can multi-stream on GPUs. We’re talking 300 streams vs. Google’s one. Get ready to go big.

Fair Billing

No rounding up.
No surprises.

Rounding up fees to the nearest 15 seconds is a common practice in speech recognition – but not at Deepgram. We think you should only pay for what you actually use. With our Fair Billing, you can reliably predict your STT expenses and not find yourself getting hit with a bill that’s 3X more than you expected.

So, when is Google the right choice?

There are times when Google is going to be the better choice for your needs. For example, if you’ve got use cases with short, command-and-response audio like, “Hey Google, tell me the weather,” or other consumer-targeted applications, it totally makes sense. Deepgram excels at business use cases that involve longer, more difficult audio rather than one person talking to a smart speaker. If that sounds like what you need, give us a try.

Switching to Deepgram is easy.

APIs, SDKs, and docs? 
Why, yes we do!

We’ve made switching to Deepgram easy with APIs, detailed guides, and clear documentation. Go ahead. Take it for a spin and get $150 in free credits.

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Meet innovators who’ve made the switch.

Phenomenal Transcription Engine with Incredible Support and Robust API!

Ryan Stomel, CEO, Call Criteria

“We initially considered using a speech solution from a legacy, Big Tech company and realized that we would need to pay eight times the price for it, without getting a solution that was eight times better.”

Adam Settle, CTO, Sharpen

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Receive up to $100,000 to use over 12 months.

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