Rev AI vs Whisper — Comparison

Rev AI

Rev AI, part of the Rev family, is a developer-first API that delivers industry-leading accuracy and fast performance at global scale. Click to learn

Get machine-generated transcripts in minutes from pre-recorded files or in real-time as audio streams. High accuracy across 57+ languages with proper grammar, punctuation, and formatting. Rev AI consistently outperforms competitors in accuracy for virtually every use case. Our proprietary models are trained using a carefully selected subset from a library of over 7M hours of human-verified speech data, giving us unmatched precision and adaptability. Get up and running in under an hour with our easy-to-use API, comprehensive SDKs, and expert support. Deploy in the cloud or on-prem. Go beyond transcription with language identification, sentiment analysis, topic extraction, summarization, and translation. Turn voice content into actionable intelligence. Handle sensitive data with confidence. SOC II, HIPAA, GDPR, and PCI compliant with 99.99% uptime. All files encrypted at rest and in transit. Enhance content searchability and analysis with precise word-level timestamps. Perfect for media applications, accessibility, and content indexing. Serve customers worldwide with 57+ languages and context-aware translations. Meet demand in new markets with consistently low WER. Find the right solution for you For press inquiries, email us at: press@rev.com Find the right solution for you For press inquiries, email us at: press@rev.com This short tutorial will teach you the basics of using the Asynchronous Speech-to-Text API. It demonstrates how to produce a transcript of an audio file submitted by you. This tutorial assumes that you have a Rev AI account. If not, sign up for a free account. The first step is to generate an access token, which will enable access to the Rev AI APIs. Follow these steps: The new access token will be generated and displayed on the screen. Save your access tokens somewhere safe; you will only be able to see them once. You are allowed a maximum of 2 access tokens at a time. Submit an audio file for transcription to Rev AI using the command below. Replace the REVAI_ACCESS_TOKEN placeholder with the access token obtained in Step 1, and replace the sample file URL shown below with the URL to your own audio file if required. You'll receive a response like this: You now need to wait for the job to complete. Wait for approximately 1 minute and then check the status of your job by querying the API as shown below: Polling the API periodically for job status is NOT recommended in a production server. Rather, use webhooks to asynchronously receive notifications once the transcription job completes. Here is an example of the output: Alternatively, you can get the plaintext version by running the command below:

Whisper

We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.

I notice that the reviews section is empty and the social mentions provided don't contain user feedback specifically about Whisper. The mentions discuss other AI services like Vertex AI pricing updates and Cohere's ASR model, but don't include actual user experiences or opinions about Whisper itself. To provide an accurate summary of what users think about Whisper, I would need reviews and social mentions that specifically discuss user experiences with that tool, including comments about its performance, ease of use, pricing, and any issues users have encountered.

Rev AI

Whisper

Rev AI

Whisper

Rev AI

Whisper