Compare Azure Speech to Text vs. Rev

Efficiently and precisely convert audio into text across over 85 languages and their variations. Enhance transcription accuracy by customizing models to better suit specific industry jargon. Unlock the full potential of spoken audio by allowing for search capabilities or analytics on the transcribed text, or enabling actions through your chosen programming language. Achieve high-quality audio-to-text transcriptions through advanced speech recognition technology. Expand your base vocabulary by incorporating particular terms or create your own bespoke speech-to-text models. Operate Speech to Text in various environments, whether in the cloud or locally through containers. Leverage the powerful technology that supports speech recognition in Microsoft products. Transform audio input from diverse sources, including microphones, audio files, and blob storage. Utilize speaker diarisation techniques to identify who spoke and when. Obtain well-structured transcripts complete with automatic punctuation and formatting. Customize your speech models for a better understanding of terminology specific to your organization or industry, ensuring a higher level of accuracy in your transcriptions. This versatility makes it easier to adapt the technology to your specific needs and applications.

Rev offers premium on-demand, manual, and automated transcription, closed captioning, and foreign subtitling services. Rev has 170,000+ clients, ranging from freelance journalists to global corporations. Rev processes more audio/video than any other provider, and can scale to meet any customer's requirements. Pricing is straightforward, starting at $0.25 per audio/video min for automated speech-to text services and $1.25/min manual with 99% accuracy. Rev.ai is a speech recognition engine available to companies who request it.