Rev

Automatically converts audio files into text using machine learning models. Processes various audio formats and delivers transcripts with speaker identification and timestamps.

Extracts audio from video files and converts it to text transcripts with precise timestamps and speaker labels. Enables video content to be indexed and made accessible.

Offers optional human review and correction of AI-generated transcripts by professional transcribers. Ensures accuracy above 99% for critical applications requiring compliance and precision.

Automatically detects and labels different speakers in audio/video content, assigning speaker names or identifiers to each segment of the transcript. Includes timestamp precision for each speaker turn.

Generates transcripts with exact timestamps for every word or phrase, enabling precise navigation and editing. Timestamps can be used for syncing with video or creating chapter markers.

Provides expedited transcription processing with guaranteed same-day turnaround for urgent projects. Balances speed with accuracy through optimized workflows.

Handles multiple audio/video files in a single batch operation, processing large media libraries efficiently. Manages queue and delivers all transcripts with consistent formatting.

Formats transcripts to meet accessibility standards and compliance requirements (ADA, WCAG, etc.). Ensures transcripts are properly structured for screen readers and accessible platforms.

Creates transcripts formatted and structured for search engine optimization, including proper heading hierarchy, keyword preservation, and indexable text. Enables video/audio content to be discovered through organic search.