Developer Builds Single-API Audio Translator Using Telnyx AI Inference Pipeline

A developer has created a Python Flask application that performs end-to-end audio translation using only the Telnyx AI Inference API. The app accepts an uploaded audio file and a target language, then chains Telnyx's speech-to-text, translation, and text-to-speech services in a single pipeline. Long transcripts are split at sentence boundaries to stay within model input limits, and the resulting audio chunks are merged into one MP3 file. A key design feature is per-stage error handling, which preserves completed transcription and translation work even if a later stage fails. The project is open-source and available on GitHub, with the current version storing job data in memory and the author recommending object storage and a job queue for production use.