# Top 10 IBM Watson Speech to Text Alternatives &amp; Competitors
**Average Rating:** 4.1/5
**Total Number of Reviews:** 17
Looking for alternatives or competitors to IBM Watson Speech to Text? Other important factors to consider when researching alternatives to IBM Watson Speech to Text include automation and features. The best overall IBM Watson Speech to Text alternative is Google Cloud Speech-to-Text. Other similar apps like IBM Watson Speech to Text are Amazon Transcribe, Deepgram, Otter.ai, and Krisp. IBM Watson Speech to Text 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 &amp; Free Alternatives to IBM Watson Speech to Text
  - [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews)
  - [Amazon Transcribe](https://www.g2.com/products/amazon-transcribe/reviews)
  - [Deepgram](https://www.g2.com/products/deepgram/reviews)
  - [Otter.ai](https://www.g2.com/products/otter-ai/reviews)
  - [Krisp](https://www.g2.com/products/krisp/reviews)
  - [Rev](https://www.g2.com/products/rev/reviews)
  - [AssemblyAI - Speech to Text API](https://www.g2.com/products/assemblyai-speech-to-text-api/reviews)
  - [OpenAI Whisper](https://www.g2.com/products/openai-whisper/reviews)
  - [Notta](https://www.g2.com/products/notta/reviews)
  - [GlobalLink](https://www.g2.com/products/globallink/reviews)

## Top 10 Alternatives to IBM Watson Speech to Text Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how IBM Watson Speech to Text stacks up to the competition, check reviews from current &amp; previous users in industries like Information Technology and Services, Computer &amp; Network Security, and Program Development, and find the best product for your business.


  ### 1. [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 IBM Watson Speech to Text, Google Cloud Speech-to-Text is:
- Better at meeting requirements
- Easier to admin
- Easier to do business with
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-ibm-watson-speech-to-text)
**Compare Google Cloud Speech-to-Text with other alternatives:**
- [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 Deepgram](https://www.g2.com/compare/deepgram-vs-google-cloud-speech-to-text)
- [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 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 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 OpenAI Whisper](https://www.g2.com/compare/google-cloud-speech-to-text-vs-openai-whisper)
- [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)

  ### 2. [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.


Reviewers say compared to IBM Watson Speech to Text, Amazon Transcribe is:
- Easier to do business with
- Better at meeting requirements
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-ibm-watson-speech-to-text)
**Compare Amazon Transcribe with other alternatives:**
- [Amazon Transcribe vs Google Cloud Speech-to-Text](https://www.g2.com/compare/amazon-transcribe-vs-google-cloud-speech-to-text)
- [Amazon Transcribe vs Deepgram](https://www.g2.com/compare/amazon-transcribe-vs-deepgram)
- [Amazon Transcribe vs Otter.ai](https://www.g2.com/compare/amazon-transcribe-vs-otter-ai)
- [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 AssemblyAI - Speech to Text API](https://www.g2.com/compare/amazon-transcribe-vs-assemblyai-speech-to-text-api)
- [Amazon Transcribe vs OpenAI Whisper](https://www.g2.com/compare/amazon-transcribe-vs-openai-whisper)
- [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)

  ### 3. [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 IBM Watson Speech to Text, Deepgram is:
- Better at meeting requirements
- Easier to do business with
- Easier to admin
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs Deepgram](https://www.g2.com/compare/deepgram-vs-ibm-watson-speech-to-text)
**Compare Deepgram with other alternatives:**
- [Deepgram vs Google Cloud Speech-to-Text](https://www.g2.com/compare/deepgram-vs-google-cloud-speech-to-text)
- [Deepgram vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-deepgram)
- [Deepgram vs Otter.ai](https://www.g2.com/compare/deepgram-vs-otter-ai)
- [Deepgram vs Krisp](https://www.g2.com/compare/deepgram-vs-krisp)
- [Deepgram vs Rev](https://www.g2.com/compare/deepgram-vs-rev)
- [Deepgram vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-deepgram)
- [Deepgram vs OpenAI Whisper](https://www.g2.com/compare/deepgram-vs-openai-whisper)
- [Deepgram vs Notta](https://www.g2.com/compare/deepgram-vs-notta)
- [Deepgram vs GlobalLink](https://www.g2.com/compare/deepgram-vs-globallink)

  ### 4. [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 IBM Watson Speech to Text, Otter.ai is:
- Better at meeting requirements
- Easier to set up
- Easier to admin
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs Otter.ai](https://www.g2.com/compare/ibm-watson-speech-to-text-vs-otter-ai)
**Compare Otter.ai with other alternatives:**
- [Otter.ai vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-otter-ai)
- [Otter.ai vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-otter-ai)
- [Otter.ai vs Deepgram](https://www.g2.com/compare/deepgram-vs-otter-ai)
- [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 AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-otter-ai)
- [Otter.ai vs OpenAI Whisper](https://www.g2.com/compare/openai-whisper-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)

  ### 5. [Krisp](https://www.g2.com/products/krisp/reviews)
By Krisp Technologies, Inc.
**Average Rating:** 4.7/5
**Total Reviews:** 1,517
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 IBM Watson Speech to Text, Krisp is:
- Better at meeting requirements
- Easier to admin
- Easier to set up
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs Krisp](https://www.g2.com/compare/ibm-watson-speech-to-text-vs-krisp)
**Compare Krisp with other alternatives:**
- [Krisp vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-krisp)
- [Krisp vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-krisp)
- [Krisp vs Deepgram](https://www.g2.com/compare/deepgram-vs-krisp)
- [Krisp vs Otter.ai](https://www.g2.com/compare/krisp-vs-otter-ai)
- [Krisp vs Rev](https://www.g2.com/compare/krisp-vs-rev)
- [Krisp vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-krisp)
- [Krisp vs OpenAI Whisper](https://www.g2.com/compare/krisp-vs-openai-whisper)
- [Krisp vs Notta](https://www.g2.com/compare/krisp-vs-notta)
- [Krisp vs GlobalLink](https://www.g2.com/compare/globallink-vs-krisp)

  ### 6. [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 IBM Watson Speech to Text, Rev is:
- Better at meeting requirements
- Easier to admin
- Easier to do business with
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs Rev](https://www.g2.com/compare/ibm-watson-speech-to-text-vs-rev)
**Compare Rev with other alternatives:**
- [Rev vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-rev)
- [Rev vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-rev)
- [Rev vs Deepgram](https://www.g2.com/compare/deepgram-vs-rev)
- [Rev vs Otter.ai](https://www.g2.com/compare/otter-ai-vs-rev)
- [Rev vs Krisp](https://www.g2.com/compare/krisp-vs-rev)
- [Rev vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-rev)
- [Rev vs OpenAI Whisper](https://www.g2.com/compare/openai-whisper-vs-rev)
- [Rev vs Notta](https://www.g2.com/compare/notta-vs-rev)
- [Rev vs GlobalLink](https://www.g2.com/compare/globallink-vs-rev)

  ### 7. [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&#39;re a team of engineers and researchers, and we&#39;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 IBM Watson Speech to Text, AssemblyAI - Speech to Text API is:
- Better at meeting requirements
- Easier to do business with
- Easier to admin
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-ibm-watson-speech-to-text)
**Compare AssemblyAI - Speech to Text API with other alternatives:**
- [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 Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-assemblyai-speech-to-text-api)
- [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 Otter.ai](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-otter-ai)
- [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 OpenAI Whisper](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-openai-whisper)
- [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)

  ### 8. [OpenAI Whisper](https://www.g2.com/products/openai-whisper/reviews)
By OpenAI
**Average Rating:** 4.5/5
**Total Reviews:** 31
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.


Reviewers say compared to IBM Watson Speech to Text, OpenAI Whisper is:
- Easier to do business with
- Easier to admin
- Better at meeting requirements
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs OpenAI Whisper](https://www.g2.com/compare/ibm-watson-speech-to-text-vs-openai-whisper)
**Compare OpenAI Whisper with other alternatives:**
- [OpenAI Whisper vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-openai-whisper)
- [OpenAI Whisper vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-openai-whisper)
- [OpenAI Whisper vs Deepgram](https://www.g2.com/compare/deepgram-vs-openai-whisper)
- [OpenAI Whisper vs Otter.ai](https://www.g2.com/compare/openai-whisper-vs-otter-ai)
- [OpenAI Whisper vs Krisp](https://www.g2.com/compare/krisp-vs-openai-whisper)
- [OpenAI Whisper vs Rev](https://www.g2.com/compare/openai-whisper-vs-rev)
- [OpenAI Whisper vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-openai-whisper)
- [OpenAI Whisper vs Notta](https://www.g2.com/compare/notta-vs-openai-whisper)
- [OpenAI Whisper vs GlobalLink](https://www.g2.com/compare/globallink-vs-openai-whisper)

  ### 9. [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 IBM Watson Speech to Text, Notta is:
- Better at meeting requirements
- Easier to admin
- Easier to do business with
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs Notta](https://www.g2.com/compare/ibm-watson-speech-to-text-vs-notta)
**Compare Notta with other alternatives:**
- [Notta vs Google Cloud Speech-to-Text](https://www.g2.com/compare/google-cloud-speech-to-text-vs-notta)
- [Notta vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-notta)
- [Notta vs Deepgram](https://www.g2.com/compare/deepgram-vs-notta)
- [Notta vs Otter.ai](https://www.g2.com/compare/notta-vs-otter-ai)
- [Notta vs Krisp](https://www.g2.com/compare/krisp-vs-notta)
- [Notta vs Rev](https://www.g2.com/compare/notta-vs-rev)
- [Notta vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-notta)
- [Notta vs OpenAI Whisper](https://www.g2.com/compare/notta-vs-openai-whisper)
- [Notta vs GlobalLink](https://www.g2.com/compare/globallink-vs-notta)

  ### 10. [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 IBM Watson Speech to Text, GlobalLink is:
- Easier to do business with
- Better at meeting requirements
- Easier to admin
Categories in common with IBM Watson Speech to Text: [Voice Recognition](https://www.g2.com/categories/voice-recognition)

**Compare:** [IBM Watson Speech to Text vs GlobalLink](https://www.g2.com/compare/globallink-vs-ibm-watson-speech-to-text)
**Compare GlobalLink with other alternatives:**
- [GlobalLink vs Google Cloud Speech-to-Text](https://www.g2.com/compare/globallink-vs-google-cloud-speech-to-text)
- [GlobalLink vs Amazon Transcribe](https://www.g2.com/compare/amazon-transcribe-vs-globallink)
- [GlobalLink vs Deepgram](https://www.g2.com/compare/deepgram-vs-globallink)
- [GlobalLink vs Otter.ai](https://www.g2.com/compare/globallink-vs-otter-ai)
- [GlobalLink vs Krisp](https://www.g2.com/compare/globallink-vs-krisp)
- [GlobalLink vs Rev](https://www.g2.com/compare/globallink-vs-rev)
- [GlobalLink vs AssemblyAI - Speech to Text API](https://www.g2.com/compare/assemblyai-speech-to-text-api-vs-globallink)
- [GlobalLink vs OpenAI Whisper](https://www.g2.com/compare/globallink-vs-openai-whisper)
- [GlobalLink vs Notta](https://www.g2.com/compare/globallink-vs-notta)


---
## IBM Watson Speech to Text Alternatives FAQs

### What are the best alternatives to IBM Watson Speech to Text?

According to G2, the best alternatives to IBM Watson Speech to Text include [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews) (4.6/5 stars, 240 reviews), [Deepgram](https://www.g2.com/products/deepgram/reviews) (4.6/5 stars, 445 reviews), [Otter.ai](https://www.g2.com/products/otter-ai/reviews) (4.4/5 stars, 495 reviews), [Krisp](https://www.g2.com/products/krisp/reviews) (4.6/5 stars, 1182 reviews), and [Rev](https://www.g2.com/products/rev/reviews) (4.7/5 stars, 591 reviews). These alternatives have higher average ratings and significantly larger review counts compared to IBM Watson Speech to Text&#39;s 4.1/5 stars from 17 reviews, indicating strong user preference and satisfaction.



### Which Voice Recognition tools do reviewers recommend instead of IBM Watson Speech to Text?

Reviewers recommend [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews) for its exceptional accuracy, support for over 73 languages and 137 variants, real-time and batch transcription, speaker diarization, and ease of integration with Google Cloud services. It is praised for handling accents and background noise effectively, making it suitable for diverse and global use cases. [Deepgram](https://www.g2.com/products/deepgram/reviews) is favored for its ultra-low latency, high transcription accuracy even with technical jargon, real-time streaming capabilities, and developer-friendly API. It excels in noisy environments and multi-speaker scenarios, making it ideal for live voice agents and conversation intelligence. Users highlight [Otter.ai](https://www.g2.com/products/otter-ai/reviews) for its real-time transcription accuracy, meeting summarization, speaker identification, and seamless integrations with Zoom and Google Meet, which enhance productivity and collaboration. [Krisp](https://www.g2.com/products/krisp/reviews) is recommended for its advanced noise cancellation, accent conversion, real-time transcription, and AI-generated meeting summaries and action items. It is particularly valued for improving call quality in noisy environments and ease of use. [Rev](https://www.g2.com/products/rev/reviews) is praised for its fast, accurate transcription with AI and human review options, excellent customer support, and features like AI summaries and speaker identification. It is widely used for converting recorded audio into organized text efficiently. Additionally, [AssemblyAI - Speech to Text API](https://www.g2.com/products/assemblyai-speech-to-text-api/reviews) is recommended for its high accuracy, developer-friendly API, speaker diarization, summarization, and cost-effectiveness, making it suitable for scalable production use. [OpenAI Whisper](https://www.g2.com/products/openai-whisper/reviews) is noted for its strong multilingual support, high transcription accuracy in noisy and accented audio, ease of setup, and open-source availability, making it a versatile choice. [Notta](https://www.g2.com/products/notta/reviews) is appreciated for its fast, accurate real-time transcription, AI-generated summaries, multilingual support, and seamless integration with conferencing tools, enhancing meeting productivity. [GlobalLink](https://www.g2.com/products/globallink/reviews) is recommended for organizations needing robust localization and translation workflows with AI-assisted content management, automation, and integration with CMS and e-commerce platforms, supporting multilingual content delivery at scale.



### How does IBM Watson Speech to Text compare to Google Cloud Speech-to-Text?

According to G2 data, [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews) outperforms [IBM Watson Speech to Text](https://www.g2.com/products/ibm-watson-speech-to-text/reviews) across multiple key dimensions. Google Cloud holds a 1.4-point lead in Better at Meeting Requirements (9.1 vs 7.7), a 0.7-point advantage in More Usable (9.3 vs 8.6), and a 0.4-point lead in Easier to Set Up (8.7 vs 8.3). It also leads by 0.9 points in Easier to Admin (8.8 vs 7.9), 0.2 points in Better at Support (8.8 vs 8.6), and 0.8 points in Easier to Do Business With (8.9 vs 8.1). User reviews highlight Google Cloud&#39;s superior accuracy, real-time transcription capabilities, extensive multilingual support (over 125 languages and dialects), and seamless integration with the Google Cloud ecosystem. Both products offer real-time transcription and multilingual support, but Google Cloud&#39;s model handles background noise better and provides faster transcription speeds. IBM Watson is praised for speaker diarization and deep learning approaches but is noted for a more complex setup and higher cost at scale. Overall, Google Cloud Speech-to-Text has a higher average rating of 4.6/5 from 240 reviews compared to IBM Watson&#39;s 4.1/5 from 17 reviews, reflecting broader user satisfaction and adoption.



### Why do users choose Google Cloud Speech-to-Text over IBM Watson Speech to Text?

Users choose [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews) over IBM Watson Speech to Text primarily due to its higher accuracy, ease of use, and extensive language support. With 8 mentions emphasizing ease of use and 5 mentions highlighting transcription accuracy, Google Cloud is favored for its ability to handle noisy environments better and support over 125 languages and dialects, enabling global applications. Its real-time streaming and batch processing capabilities, along with features like automated punctuation, speaker diarization, and timestamping, enhance usability. Additionally, Google Cloud integrates smoothly with other Google services, facilitating streamlined workflows. Despite some concerns about pricing and internet dependency, users appreciate its fast transcription speed, reliable customer support, and user-friendly interface. The product&#39;s 4.6-star average rating across 240 reviews further underscores its preference among users seeking robust, scalable, and accurate speech-to-text solutions.




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