# Best speech-to-text app for large corporate use

 Hey G2! I want to start a discussion with this expert community to find the best speech-to-text app for large corporate use. Microsoft Azure AI Speech, Google Cloud Speech-to-Text, and Otter.ai are some of the top choices, according to G2’s voice recognition software page. See my full top 9 speech-to-text apps list below.  1. Microsoft Azure AI Speech – Best for Customizable Speech Recognition in Enterprise Environments  Azure AI Speech is recognized for its customizable speech recognition capabilities, allowing fine-tuning for specific tasks and industries. Its integration with Microsoft's ecosystem and support for various languages make it suitable for large enterprises seeking tailored speech-to-text solutions.  2. Google Cloud Speech-to-Text – Best for Enterprise-Grade Multilingual Transcription  Google Cloud Speech-to-Text is renowned for its high-accuracy, real-time transcription capabilities across 73 languages and 137 dialects, processing over 1 billion voice minutes monthly. Its robust API integration and scalability make it ideal for large enterprises requiring extensive language support and seamless integration into existing workflows.  3. Otter.ai – Best for Meeting Transcription and Collaboration  Otter.ai is known for its real-time transcription, speaker identification, and collaborative features, enhancing meeting productivity. It's particularly useful for large organizations seeking to streamline meeting documentation and collaboration.  4. Deepgram – Best for Developer-Friendly Real-Time Transcription  Deepgram offers an AI-powered speech-to-text platform optimized for real-time transcription with high accuracy, even in noisy environments. Its developer-centric approach and easy API integration make it suitable for large corporations looking to build custom voice applications.  5. AssemblyAI – Best for Advanced Speech Intelligence Features  AssemblyAI provides a comprehensive speech-to-text API with features like topic detection, sentiment analysis, and content moderation. Its advanced capabilities are beneficial for large enterprises aiming to derive deeper insights from audio data.  6. Gladia – Best for Multilingual Live Transcription  Gladia specializes in accurate, multilingual speech-to-text services with support for live streaming and asynchronous processing. Its versatility makes it a strong choice for global corporations needing real-time transcription across various languages.  7. Rev – Best for Hybrid Human-AI Transcription Services  Rev offers a combination of automated and human transcription services, ensuring high accuracy for various use cases. This hybrid approach is advantageous for enterprises requiring precise transcriptions for critical business content.  8. Krisp – Best for Noise Cancellation in Voice Communications  Krisp provides AI-powered noise cancellation, enhancing the clarity of voice communications by eliminating background noise. It's beneficial for large corporations aiming to improve the quality of virtual meetings and calls.  9. Notta – Best for Transcription and Summarization of Meetings  Notta offers automated transcription and summarization features, converting meetings and interviews into accurate text. Its capabilities are ideal for enterprises looking to efficiently document and analyze spoken content.  These platforms provide a range of features to meet the diverse speech-to-text needs of large corporations, from real-time transcription and multilingual support to advanced analytics and collaboration tools.  Have you recently used any of these top speech to text software apps from G2’s category? Let me know in the comments below, and I can update my list based on your feedback. Based on your experiences working in large corporations, what is the best speech-to-text app? 

##### Post Metadata
- Posted at: about 1 year ago
- Author title: Manager
- Net upvotes: 1


## Comments
### Comment 1

<p>You can find enterprise-specific solutions on G2's enterprise voice recognition software page: https://www.g2.com/categories/voice-recognition/enterprise</p>

##### Comment Metadata
- Posted at: about 1 year ago
- Author title: Manager





## Related discussions
- [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team)
  - Posted at: over 13 years ago
  - Comments: 6
- [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section)
  - Posted at: over 13 years ago
  - Comments: 0
- [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm)
  - Posted at: over 13 years ago
  - Comments: 4