Top 10 OpenAI Whisper Alternatives & Competitors

Top 10 Alternatives to OpenAI Whisper Recently Reviewed By G2 Community

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Otter.ai
By Otter.ai
4.4/5
(463)
Product Description
Otter.ai creates technologies and products that make information from important voice conversations instantly accessible and actionable.
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Reviewers say compared to OpenAI Whisper, Otter.ai is:
More usable
Categories in common with OpenAI Whisper:
Voice Recognition

Google Cloud Speech-to-Text
By Google
4.6/5
(238)
Product Description
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.
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Reviewers say compared to OpenAI Whisper, Google Cloud Speech-to-Text is:
Better at meeting requirements
More usable
Categories in common with OpenAI Whisper:
Voice Recognition

AssemblyAI - Speech to Text API
By AssemblyAI
4.6/5
(113)
Product Description
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.
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Reviewers say compared to OpenAI Whisper, AssemblyAI - Speech to Text API is:
Better at meeting requirements
More usable
Categories in common with OpenAI Whisper:
Voice Recognition

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Deepgram
By Deepgram
4.6/5
(440)
Product Description
Deepgram builds artificial intelligence to recognize speech, search for moments, and categorize audio and video.
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Reviewers say compared to OpenAI Whisper, Deepgram is:
More usable
Categories in common with OpenAI Whisper:
Voice Recognition

Speechmatics
By Speechmatics
4.8/5
(53)
Product Description
Speech-to-text in 50 languages. Available in real-time and for pre-recorded content, in the cloud and on-premises.
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Reviewers say compared to OpenAI Whisper, Speechmatics is:
More usable
Better at meeting requirements
Better at support
Categories in common with OpenAI Whisper:
Voice Recognition

Amazon Transcribe
By Amazon Web Services (AWS)
3.9/5
(16)
Product Description
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.
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Categories in common with OpenAI Whisper:
Voice Recognition

Rev
By Rev.com
4.7/5
(589)
Product Description
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.
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Reviewers say compared to OpenAI Whisper, Rev is:
Better at meeting requirements
More usable
Better at support
Categories in common with OpenAI Whisper:
Voice Recognition

Krisp
By Krisp Technologies, Inc.
4.6/5
(1,117)
Product Description
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.
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Reviewers say compared to OpenAI Whisper, Krisp is:
Better at meeting requirements
More usable
Better at support
Categories in common with OpenAI Whisper:
Voice Recognition

Notta
By Notta
4.4/5
(233)
Product Description
Notta automatically converts meetings, interviews, and other audio/video into accurate text. Transcribe, edit, summarize, and collaborate in a single workflow to stay productive.
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Reviewers say compared to OpenAI Whisper, Notta is:
Better at meeting requirements
Better at support
Categories in common with OpenAI Whisper:
Voice Recognition