Transcribe audio and video files with Python and Universal-1

AssemblyAI has introduced Universal-1, a new speech model that sets a standard for automated speech recognition (ASR) accuracy. The model is designed to transcribe accented speech, background noise, and difficult phrases with near-human accuracy. It can be accessed through the same web API as previous ASR models. Alongside this release, two new pricing tiers have been introduced: Best and Nano. A tutorial demonstrates how to use Python applications to transcribe audio or video files using Universal-1's Best and Nano tiers with AssemblyAI's Speech-to-Text API. The tutorial also explains how to switch between the Best and Nano tiers by adjusting the TranscriptionConfig parameters.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.