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Rev.ai

Speech-to-text API for recorded files and live audio streams, with word-level timestamps, language identification, sentiment analysis, topic extraction, summarization and translation.

TranscriptionModel APIs

What it does

Rev AI is a developer API for turning speech into text. It handles pre-recorded files and real-time audio streams, and returns transcripts with grammar, punctuation and formatting in 57+ languages. The documentation has separate getting-started guides for the asynchronous and streaming APIs. Beyond transcripts, the site lists an insights layer covering language identification, sentiment analysis, topic extraction, summarization and translation. Forced alignment returns word-level timestamps, which the site suggests using in media apps, for accessibility and to index content. For integration, the site mentions SDKs, documentation and support, and says deployment can be in the cloud or on-premises, with global deployment options. It lists SOC II, HIPAA, GDPR and PCI compliance, with files encrypted at rest and in transit. The site says its proprietary models are trained using a carefully selected subset from a library of over 7 million hours of human-verified speech data, and claims lower word error rates than competitors, linking benchmark results.

Capabilities

  • Asynchronous transcription of recorded files and streaming transcription of live audio
  • 57+ languages with grammar, punctuation and formatting
  • Language identification, sentiment analysis, topic extraction, summarization and translation
  • Forced alignment with word-level timestamps
  • SDKs and documentation for API integration
  • Cloud or on-premises deployment, with SOC II, HIPAA, GDPR and PCI compliance listed

When to use it

  • Adding transcription to an app or media workflow through an API
  • Transcribing audio as it streams in real time
  • Making recorded content searchable with word-level timestamps
  • Transcribing sensitive audio where compliance or on-premises deployment matters