We are excited to announce that Deepgram is now available as a Speech-to-Text (STT) provider for file-based recording transcription on the Telnyx platform. On top of real-time transcription and AI Assistant, Deepgram industry-leading STT is now an option for transcribing your stored call recordings, giving you even more flexibility in how you process and analyze your voice data.
Deepgram STT is now available through our file-based transcription endpoint and call recording endpoint designed specifically for transcribing stored recordings. There are two ways to use it:
1. Automatic transcription for call recordings Enable transcription when you start recording a call. When the call ends, you receive both the recording and the transcription, no need to re-upload the file.
2. Transcribe existing audio files Have recordings from another source? Upload your audio file or provide a URL to get a transcription powered by Deepgram.
Both options are ideal for:
Best-in-class accuracy: Leverage Deepgram state-of-the-art neural network models, trained on vast amounts of real-world audio for superior transcription accuracy.
Multiple language support: Transcribe call recordings in multiple languages and dialects to support global operations.
Speaker diarization: Automatically identify and separate different speakers in your call recordings for clearer conversation analysis.
Flexible output formats: Receive transcriptions with timestamps, confidence scores, and structured metadata to power downstream analytics.
Provider choice: Choose between Google and Deepgram based on your use case, accuracy requirements, and budget, all through a unified Telnyx API.
Read our developer documentation for transcribing existing audio files or for call recording and learn more about our pricing.