# Top 10 Azure AI Speech Alternatives & Competitors
**Average Rating:** 3.9/5
**Total Number of Reviews:** 66
Research alternative solutions to Azure AI Speech on G2, with real user reviews on competing tools. Other important factors to consider when researching alternatives to Azure AI Speech include response time. The best overall Azure AI Speech alternative is Krisp. Other similar apps like Azure AI Speech are Rev, Otter.ai, Deepgram, and Google Cloud Speech-to-Text. Azure AI Speech alternatives can be found in [Voice Recognition Software](https://www.g2.com/categories/voice-recognition) but may also be in [AI Meeting Assistants Software](https://www.g2.com/categories/ai-meeting-assistants) or [AI Legal Assistant Software](https://www.g2.com/categories/ai-legal-assistant).


## Best Paid & Free Alternatives to Azure AI Speech
  - [Krisp](https://www.g2.com/products/krisp/reviews)
  - [Rev](https://www.g2.com/products/rev/reviews)
  - [Otter.ai](https://www.g2.com/products/otter-ai/reviews)
  - [Deepgram](https://www.g2.com/products/deepgram/reviews)
  - [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews)
  - [Notta](https://www.g2.com/products/notta/reviews)
  - [GlobalLink](https://www.g2.com/products/globallink/reviews)
  - [AssemblyAI - Speech to Text API](https://www.g2.com/products/assemblyai-speech-to-text-api/reviews)
  - [Amazon Transcribe](https://www.g2.com/products/amazon-transcribe/reviews)
  - [Mihup](https://www.g2.com/products/mihup/reviews)

## Top 10 Alternatives to Azure AI Speech Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Azure AI Speech stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Accounting, and Marketing and Advertising, and find the best product for your business.


  ### 1. [Krisp](https://www.g2.com/products/krisp/reviews)
By Krisp Technologies, Inc.
**Average Rating:** 4.7/5
**Total Reviews:** 1,522
Krisp delivers real-time Voice AI technology that improves digital conversations across meetings, contact centers, and embedded applications. The platform combines noise and echo removal, background voice cancellation, accent conversion, live voice translation, transcription, meeting summarization, and agent assistance in one solution. Krisp technology is deployed on more than 200 million devices and processes over 75 billion minutes of voice conversations each month. Organizations use it to capture accurate meeting records, enhance customer interactions, and build new voice-enabled products. Contact centers and service providers report measurable impact, including reductions in noise-related complaints, faster call handling, and higher customer satisfaction. By operating on-device and in the cloud, and by supporting any microphone, headset, or communication app, Krisp provides a scalable, privacy-focused layer of real-time voice AI for businesses of every size.


Reviewers say compared to Azure AI Speech, Krisp is:
- Easier to set up
- Easier to admin
- More usable
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Krisp](https://www.g2.com/compare/azure-ai-speech-vs-krisp)
**Compare Krisp with other alternatives:**
- [Krisp vs Rev](https://www.g2.com/compare/krisp-vs-rev)
- [Krisp vs Otter.ai](https://www.g2.com/compare/krisp-vs-otter-ai)
- [Krisp vs Deepgram](https://www.g2.com/compare/deepgram-vs-krisp)
- [Krisp vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-krisp)
- [Krisp vs Notta](https://www.g2.com/compare/krisp-vs-notta)
- [Krisp vs GlobalLink](https://www.g2.com/compare/globallink-vs-krisp)
- [Krisp vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-krisp)
- [Krisp vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-krisp)
- [Krisp vs Mihup](https://www.g2.com/compare/krisp-vs-mihup)

  ### 2. [Rev](https://www.g2.com/products/rev/reviews)
By Rev.com
**Average Rating:** 4.7/5
**Total Reviews:** 592
Digital evidence has surged — body cams, dash cams, smartphones, 911 calls, and interviews in every case — but legal and law enforcement teams haven’t grown with it, making thorough review nearly impossible. Rev helps teams keep pace. Our platform pairs industry-leading speech recognition with AI that cites its sources, delivering accurate, verifiable results tied to the original file. AI supports — never replaces — human judgment, with optional human review when precision matters most. Built with CJIS-, HIPAA-, and SOC 2-compliant security and zero data sharing with third-party LLMs, Rev reduces overtime, prevents missed details, and helps move cases forward with confidence.


Reviewers say compared to Azure AI Speech, Rev is:
- Easier to admin
- Easier to set up
- Better at support
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Rev](https://www.g2.com/compare/azure-ai-speech-vs-rev)
**Compare Rev with other alternatives:**
- [Rev vs Krisp](https://www.g2.com/compare/krisp-vs-rev)
- [Rev vs Otter.ai](https://www.g2.com/compare/otter-ai-vs-rev)
- [Rev vs Deepgram](https://www.g2.com/compare/deepgram-vs-rev)
- [Rev vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-rev)
- [Rev vs Notta](https://www.g2.com/compare/notta-vs-rev)
- [Rev vs GlobalLink](https://www.g2.com/compare/globallink-vs-rev)
- [Rev vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-rev)
- [Rev vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-rev)
- [Rev vs Mihup](https://www.g2.com/compare/mihup-vs-rev)

  ### 3. [Otter.ai](https://www.g2.com/products/otter-ai/reviews)
By Otter.ai
**Average Rating:** 4.4/5
**Total Reviews:** 499
Otter.ai creates technologies and products that make information from important voice conversations instantly accessible and actionable.


Reviewers say compared to Azure AI Speech, Otter.ai is:
- Easier to set up
- More usable
- Easier to admin
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Otter.ai](https://www.g2.com/compare/azure-ai-speech-vs-otter-ai)
**Compare Otter.ai with other alternatives:**
- [Otter.ai vs Krisp](https://www.g2.com/compare/krisp-vs-otter-ai)
- [Otter.ai vs Rev](https://www.g2.com/compare/otter-ai-vs-rev)
- [Otter.ai vs Deepgram](https://www.g2.com/compare/deepgram-vs-otter-ai)
- [Otter.ai vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-otter-ai)
- [Otter.ai vs Notta](https://www.g2.com/compare/notta-vs-otter-ai)
- [Otter.ai vs GlobalLink](https://www.g2.com/compare/globallink-vs-otter-ai)
- [Otter.ai vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-otter-ai)
- [Otter.ai vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-otter-ai)
- [Otter.ai vs Mihup](https://www.g2.com/compare/mihup-vs-otter-ai)

  ### 4. [Deepgram](https://www.g2.com/products/deepgram/reviews)
By Deepgram
**Average Rating:** 4.6/5
**Total Reviews:** 446
Deepgram builds artificial intelligence to recognize speech, search for moments, and categorize audio and video.


Reviewers say compared to Azure AI Speech, Deepgram is:
- Easier to admin
- Easier to set up
- More usable
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Deepgram](https://www.g2.com/compare/azure-ai-speech-vs-deepgram)
**Compare Deepgram with other alternatives:**
- [Deepgram vs Krisp](https://www.g2.com/compare/deepgram-vs-krisp)
- [Deepgram vs Rev](https://www.g2.com/compare/deepgram-vs-rev)
- [Deepgram vs Otter.ai](https://www.g2.com/compare/deepgram-vs-otter-ai)
- [Deepgram vs Google Cloud Speech-to-Text](https://www.g2.com/compare/deepgram-vs-google-cloud-speech-to-text)
- [Deepgram vs Notta](https://www.g2.com/compare/deepgram-vs-notta)
- [Deepgram vs GlobalLink](https://www.g2.com/compare/deepgram-vs-globallink)
- [Deepgram vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-deepgram)
- [Deepgram vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-deepgram)
- [Deepgram vs Mihup](https://www.g2.com/compare/deepgram-vs-mihup)

  ### 5. [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews)
By Google
**Average Rating:** 4.6/5
**Total Reviews:** 240
Google Cloud Speech-to-Text is a service that enables developers to quickly and accurately convert audio to text by applying neural network models in an easy to use API. The API covers 73 languages and 137 different local variants to support a global user base and can be used to power media voice control systems, content captioning and analysis, conversational platforms and more.


Reviewers say compared to Azure AI Speech, Google Cloud Speech-to-Text is:
- More usable
- Easier to admin
- Better at support
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Google Cloud Speech-to-Text](https://www.g2.com/compare/azure-ai-speech-vs-google-cloud-speech-to-text)
**Compare Google Cloud Speech-to-Text with other alternatives:**
- [Google Cloud Speech-to-Text vs Krisp](https://www.g2.com/compare/google-cloud-speech-to-text-vs-krisp)
- [Google Cloud Speech-to-Text vs Rev](https://www.g2.com/compare/google-cloud-speech-to-text-vs-rev)
- [Google Cloud Speech-to-Text vs Otter.ai](https://www.g2.com/compare/google-cloud-speech-to-text-vs-otter-ai)
- [Google Cloud Speech-to-Text vs Deepgram](https://www.g2.com/compare/deepgram-vs-google-cloud-speech-to-text)
- [Google Cloud Speech-to-Text vs Notta](https://www.g2.com/compare/google-cloud-speech-to-text-vs-notta)
- [Google Cloud Speech-to-Text vs GlobalLink](https://www.g2.com/compare/globallink-vs-google-cloud-speech-to-text)
- [Google Cloud Speech-to-Text vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-google-cloud-speech-to-text)
- [Google Cloud Speech-to-Text vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-google-cloud-speech-to-text)
- [Google Cloud Speech-to-Text vs Mihup](https://www.g2.com/compare/google-cloud-speech-to-text-vs-mihup)

  ### 6. [Notta](https://www.g2.com/products/notta/reviews)
By Notta
**Average Rating:** 4.4/5
**Total Reviews:** 234
Notta automatically converts meetings, interviews, and other audio/video into accurate text. Transcribe, edit, summarize, and collaborate in a single workflow to stay productive.


Reviewers say compared to Azure AI Speech, Notta is:
- Easier to admin
- Better at support
- Easier to set up
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Notta](https://www.g2.com/compare/azure-ai-speech-vs-notta)
**Compare Notta with other alternatives:**
- [Notta vs Krisp](https://www.g2.com/compare/krisp-vs-notta)
- [Notta vs Rev](https://www.g2.com/compare/notta-vs-rev)
- [Notta vs Otter.ai](https://www.g2.com/compare/notta-vs-otter-ai)
- [Notta vs Deepgram](https://www.g2.com/compare/deepgram-vs-notta)
- [Notta vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-notta)
- [Notta vs GlobalLink](https://www.g2.com/compare/globallink-vs-notta)
- [Notta vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-notta)
- [Notta vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-notta)
- [Notta vs Mihup](https://www.g2.com/compare/mihup-vs-notta)

  ### 7. [GlobalLink](https://www.g2.com/products/globallink/reviews)
By TransPerfect
**Average Rating:** 4.5/5
**Total Reviews:** 186
GlobalLink enables organizations to streamline the localization process for all business needs.


Reviewers say compared to Azure AI Speech, GlobalLink is:
- Better at support
- Easier to do business with
- Easier to admin
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs GlobalLink](https://www.g2.com/compare/azure-ai-speech-vs-globallink)
**Compare GlobalLink with other alternatives:**
- [GlobalLink vs Krisp](https://www.g2.com/compare/globallink-vs-krisp)
- [GlobalLink vs Rev](https://www.g2.com/compare/globallink-vs-rev)
- [GlobalLink vs Otter.ai](https://www.g2.com/compare/globallink-vs-otter-ai)
- [GlobalLink vs Deepgram](https://www.g2.com/compare/deepgram-vs-globallink)
- [GlobalLink vs Google Cloud Speech-to-Text](https://www.g2.com/compare/globallink-vs-google-cloud-speech-to-text)
- [GlobalLink vs Notta](https://www.g2.com/compare/globallink-vs-notta)
- [GlobalLink vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-globallink)
- [GlobalLink vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-globallink)
- [GlobalLink vs Mihup](https://www.g2.com/compare/globallink-vs-mihup)

  ### 8. [AssemblyAI - Speech to Text API](https://www.g2.com/products/assemblyai-speech-to-text-api/reviews)
By AssemblyAI
**Average Rating:** 4.6/5
**Total Reviews:** 123
We're a team of engineers and researchers, and we're working to give developers and global companies an alternative to big tech companies when it comes to advanced AI solutions.


Reviewers say compared to Azure AI Speech, AssemblyAI - Speech to Text API is:
- Easier to set up
- Better at support
- More usable
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-azure-ai-speech)
**Compare AssemblyAI - Speech to Text API with other alternatives:**
- [AssemblyAI - Speech to Text API vs Krisp](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-krisp)
- [AssemblyAI - Speech to Text API vs Rev](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-rev)
- [AssemblyAI - Speech to Text API vs Otter.ai](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-otter-ai)
- [AssemblyAI - Speech to Text API vs Deepgram](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-deepgram)
- [AssemblyAI - Speech to Text API vs Google Cloud Speech-to-Text](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-google-cloud-speech-to-text)
- [AssemblyAI - Speech to Text API vs Notta](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-notta)
- [AssemblyAI - Speech to Text API vs GlobalLink](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-globallink)
- [AssemblyAI - Speech to Text API vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-assemblyai-speech-to-text-api)
- [AssemblyAI - Speech to Text API vs Mihup](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-mihup)

  ### 9. [Amazon Transcribe](https://www.g2.com/products/amazon-transcribe/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 3.9/5
**Total Reviews:** 16
Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that enables developers to integrate speech-to-text capabilities into their applications effortlessly. Powered by advanced machine learning models, it delivers high-accuracy transcriptions for both streaming and recorded audio across a wide range of languages. Organizations across various industries utilize Amazon Transcribe to automate manual transcription tasks, extract valuable insights, enhance accessibility, and improve the discoverability of audio and video content. Key Features and Functionality: - Real-Time and Batch Transcription: Supports both live audio streams and pre-recorded files, providing flexibility for different use cases. - Custom Vocabulary and Language Models: Allows users to add domain-specific terminology and train custom language models to improve transcription accuracy. - Speaker Diarization: Identifies and labels different speakers in an audio file, facilitating clear attribution in conversations. - Automatic Punctuation and Formatting: Enhances readability by adding punctuation and formatting numbers appropriately. - Content Redaction: Automatically detects and redacts sensitive information, such as personally identifiable information (PII), to maintain privacy and compliance. - Channel Identification: Processes multi-channel audio files and provides a single transcript annotated with respective channel labels, beneficial for contact centers and media applications. - Language Identification: Automatically detects the dominant language in an audio file, streamlining workflows involving multilingual content. Primary Value and Problem Solved: Amazon Transcribe addresses the challenge of converting speech into accurate, readable text, enabling businesses to unlock the value hidden within their audio data. By automating transcription processes, it reduces the time and resources required for manual transcription, enhances content accessibility, and facilitates the analysis of customer interactions, meetings, and media content. This leads to improved customer experiences, better compliance with privacy regulations through automated redaction, and the ability to derive actionable insights from audio and video materials.


Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-azure-ai-speech)
**Compare Amazon Transcribe with other alternatives:**
- [Amazon Transcribe vs Krisp](https://www.g2.com/compare/amazon-transcribe-vs-krisp)
- [Amazon Transcribe vs Rev](https://www.g2.com/compare/amazon-transcribe-vs-rev)
- [Amazon Transcribe vs Otter.ai](https://www.g2.com/compare/amazon-transcribe-vs-otter-ai)
- [Amazon Transcribe vs Deepgram](https://www.g2.com/compare/amazon-transcribe-vs-deepgram)
- [Amazon Transcribe vs Google Cloud Speech-to-Text](https://www.g2.com/compare/amazon-transcribe-vs-google-cloud-speech-to-text)
- [Amazon Transcribe vs Notta](https://www.g2.com/compare/amazon-transcribe-vs-notta)
- [Amazon Transcribe vs GlobalLink](https://www.g2.com/compare/amazon-transcribe-vs-globallink)
- [Amazon Transcribe vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/amazon-transcribe-vs-assemblyai-speech-to-text-api)
- [Amazon Transcribe vs Mihup](https://www.g2.com/compare/amazon-transcribe-vs-mihup)

  ### 10. [Mihup](https://www.g2.com/products/mihup/reviews)
By Mihup Communications Private Limited.
**Average Rating:** 4.7/5
**Total Reviews:** 68
Mihup is the new frontier in Conversational AI. Our platform enables enterprise developers to create customized voice interfaces with full control over brand identity and privacy. Our interaction analytics solution provides 100% analysis of a call center’s customer interactions to derive actionable insights to improve sales, collection and customer services. We are an enterprise ready platform for both native cloud or edge deployments.


Reviewers say compared to Azure AI Speech, Mihup is:
- Easier to admin
- Easier to set up
- Better at support
Categories in common with Azure AI Speech: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [Azure AI Speech vs Mihup](https://www.g2.com/compare/azure-ai-speech-vs-mihup)
**Compare Mihup with other alternatives:**
- [Mihup vs Krisp](https://www.g2.com/compare/krisp-vs-mihup)
- [Mihup vs Rev](https://www.g2.com/compare/mihup-vs-rev)
- [Mihup vs Otter.ai](https://www.g2.com/compare/mihup-vs-otter-ai)
- [Mihup vs Deepgram](https://www.g2.com/compare/deepgram-vs-mihup)
- [Mihup vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-mihup)
- [Mihup vs Notta](https://www.g2.com/compare/mihup-vs-notta)
- [Mihup vs GlobalLink](https://www.g2.com/compare/globallink-vs-mihup)
- [Mihup vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-mihup)
- [Mihup vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-mihup)


---
## Azure AI Speech Alternatives FAQs

### Why do users choose Krisp over Azure AI Speech?

Users choose [Krisp](https://www.g2.com/products/krisp/reviews) over Azure AI Speech primarily due to its superior ease of use and setup, as reflected in Krisp's 9.2 Ease of Setup score compared to Azure AI Speech's 8.0. Krisp's standout feature is its highly effective AI-driven real-time noise cancellation, which removes background noise such as voices, pets, and environmental sounds without distorting the user's voice, a capability frequently praised in over 224 user mentions. Additionally, Krisp offers automatic meeting recording, accurate transcription with speaker identification, and AI-generated meeting summaries and action items, which save users significant time and improve meeting productivity. The integration with multiple communication platforms like Zoom, Teams, and Slack is seamless and requires minimal configuration, enhancing usability. Krisp's reliability and consistent performance in noisy environments make it the preferred choice for professionals working remotely or in challenging audio conditions. Furthermore, Krisp's customer support and continuous feature updates contribute to a positive user experience. These factors collectively explain why Krisp holds a 4.6-star rating across 1,182 reviews, outperforming Azure AI Speech in user satisfaction and adoption.



### What are the best alternatives to Azure AI Speech?

According to G2, the best alternatives to Azure AI Speech include [Krisp](https://www.g2.com/products/krisp/reviews) (4.6/5 stars, 1182 reviews), [Rev](https://www.g2.com/products/rev/reviews) (4.7/5 stars, 591 reviews), and [Otter.ai](https://www.g2.com/products/otter-ai/reviews) (4.4/5 stars, 495 reviews). These platforms outperform Azure AI Speech's 3.9/5 rating across multiple dimensions such as ease of administration, support, meeting requirements, usability, and setup. They offer comprehensive voice recognition and transcription capabilities with strong user satisfaction and extensive review counts.



### Which Voice Recognition tools do reviewers recommend instead of Azure AI Speech?

Reviewers consistently recommend [Krisp](https://www.g2.com/products/krisp/reviews) for its superior noise cancellation, real-time transcription, accent conversion, and meeting summarization features, supported by 269 mentions of ease of use and 224 mentions of noise cancellation. [Rev](https://www.g2.com/products/rev/reviews) is favored for its accuracy, speed, AI summaries, and ease of use, with 195 mentions of accuracy and 189 mentions of transcription. [Otter.ai](https://www.g2.com/products/otter-ai/reviews) is praised for real-time transcription accuracy, meeting summarization, and integration capabilities, with 145 mentions of ease of use and 123 mentions of helpfulness. These tools are recommended for their robust transcription accuracy, user-friendly interfaces, and advanced AI features that enhance productivity beyond what Azure AI Speech currently offers.



### How does Azure AI Speech compare to Krisp?

According to G2 data, [Azure AI Speech](https://www.g2.com/products/azure-ai-speech/reviews) has an average rating of 3.9/5 from 64 reviews, while [Krisp](https://www.g2.com/products/krisp/reviews) holds a significantly higher average rating of 4.6/5 based on 1,182 reviews. Krisp leads Azure AI Speech by 0.8 points in Better at Meeting Requirements (9.3 vs 8.5), 1.0 point in More Usable (9.2 vs 8.2), 1.2 points in Easier to Set Up (9.2 vs 8.0), 1.0 point in Easier to Admin (8.9 vs 7.9), 0.9 points in Better at Support (8.9 vs 8.0), and 0.1 points in Easier to Do Business With (8.6 vs 8.5). User reviews highlight Azure AI Speech's strengths in accuracy, multilingual support, speech-to-text conversion, and integration within the Microsoft ecosystem. However, users note challenges with setup complexity, pricing structure, and occasional accuracy issues in noisy environments. In contrast, Krisp is praised for its ease of use, superior real-time AI-driven noise cancellation, reliable transcription accuracy, automatic meeting recording, and comprehensive AI meeting summaries and action items. Krisp's noise cancellation is especially effective in eliminating background sounds such as voices, pets, and environmental noise, making it ideal for remote work and noisy settings. Both products offer strong transcription capabilities, but Krisp's extensive user base and feature set deliver a more seamless and user-friendly experience overall.




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