Everett Kleven
10/30/2025, 6:54 PMdaft.File, @daft.cls, prompt(), and embed_text()!
Building Voice AI pipelines usually means juggling multiple tools, managing memory manually, and writing complex orchestration code.
Our latest tutorial shows a better way - transcribe, translate, and embed audio at scale with Daft:
- Transcribe hours of audio using Faster-Whisper with automatic speaker segmentation
- Generate summaries and translations directly from transcripts
- Create embeddings for RAG applications
- Scale from laptop to cloud without code changes
Check it out: https://www.daft.ai/blog/simplifying-voice-ai-analytics-with-daft-transcription-summaries-and-embeddings-at-scale