What problem does it solve?
Manually transcribing audio recordings, meeting notes, or video audio is time-consuming and prone to human error. This skill eliminates that friction by providing a simple, reliable way to convert speech to text using OpenRouter's speech-to-text API.
Core Features & Use Cases
- Multi-format audio support: Works with common audio formats including wav, mp3, flac, m4a, ogg, webm, and aac, with guidance to avoid format/byte mismatches.
- Cross-language implementation examples: Includes ready-to-use code snippets for bash (curl + jq), TypeScript (fetch), and Python (requests) to handle the full transcription workflow.
- Use case example: Transcribe a 30-minute customer support call recording to generate a searchable text transcript for quality review and note-taking.
Quick Start
Use the openrouter-stt skill to transcribe the audio file 'customer-call-recording.mp3' to text using the openai/whisper-large-v3 model.