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  1. Stackups
  2. AI
  3. Voice & Audio Models
  4. Speech Recognition As A Service
  5. Google Cloud Speech API vs OpenAI

Google Cloud Speech API vs OpenAI

OverviewComparisonAlternatives

Overview

Google Cloud Speech API
Google Cloud Speech API
Stacks39
Followers74
Votes1
OpenAI
OpenAI
Stacks935
Followers195
Votes0

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Detailed Comparison

Google Cloud Speech API
Google Cloud Speech API
OpenAI
OpenAI

Google Cloud Speech API enables developers to convert audio to text by applying powerful neural network models in an easy to use API. The API recognizes over 80 languages and variants, to support your global user base.

Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.

Over 80 Languages;Return Text Results In Real-Time;Accurate In Noisy Environments;Powered by Machine Learning
Pioneering research on the path to AGI; Transforming work and creativity with AI
Statistics
Stacks
39
Stacks
935
Followers
74
Followers
195
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    More accurate than AbbyyOCR for images from smartphone
No community feedback yet
Integrations
No integrations available
Microsoft Azure
Microsoft Azure
ChatGPT
ChatGPT

What are some alternatives to Google Cloud Speech API, OpenAI?

Grok-1

Grok-1

It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.

TalkAny: Free AI Speaking Practice

TalkAny: Free AI Speaking Practice

TalkAny—Free AI Speaking Practice Platform. Practice English/Chinese speaking with AI 24/7; no partner needed. Get real-time grammar correction, pronunciation feedback, and natural expression tips. Perfect for IELTS, TOEFL, DET exam prep, daily conversation, and job interviews. Zero pressure, unlimited practice. Start speaking now!

Google Gemini

Google Gemini

It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.

LLaMA

LLaMA

It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

Whisper

Whisper

It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

Grok 4

Grok 4

Try Grok 4 on GPT Proto. Access xAI’s most advanced 1.7T LLM with 130K context, multimodal support, and real-time data integration for dynamic analysis.

Soniox

Soniox

Transcribe and translate speech in over 60 languages, in real-time, with high accuracy.

Claude

Claude

It is a next-generation AI assistant. It is accessible through chat interface and API. It is capable of a wide variety of conversational and text-processing tasks while maintaining a high degree of reliability and predictability.

GPT-4 by OpenAI

GPT-4 by OpenAI

It is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities.

Cohere.com

Cohere.com

It offers an API to add cutting-edge language processing to any system. Through training, users can create massive models customized to their use case and trained on their data.

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