Whisper API vs MusicLM

Whisper API is a hosted speech-to-text service built around OpenAI's Whisper Large V3 model. You send audio from podcasts, meetings, or videos and get text back through a REST endpoint that follows the same request format as OpenAI's transcription API. The product is operated by Lemonfox.ai, and the site states it is not affiliated with OpenAI.

Integration is meant to be quick. The API accepts uploaded files or remote audio URLs, can label multiple speakers in a recording, and supports transcription in more than 100 languages. English translations and text summaries are also available through related models on the platform.

Pricing runs on usage rather than fixed monthly tiers. New sign-ups get the first month free with 30 hours of transcription included, then pay $0.17 per hour of audio processed. The homepage includes curl examples showing how to pass language, speaker labels, and response format parameters.

Backend developers wiring transcription into apps are the main audience, along with teams processing recorded content at scale. If you are not building software, the site links to Transcripo for browser-based speech-to-text without writing code.

Google introduce MusicLM, a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff".

MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz that remains consistent over several minutes.