AI audio translator with speech-to-text, LLM translation, and text-to-speech (github.com)

Telnyx has announced the launch of its AI Content Translator, a sophisticated tool that combines speech-to-text (STT), large language model (LLM) translation, and text-to-speech (TTS) capabilities. Users can upload audio files—such as podcasts, meetings, or lectures—and the system transcribes the speech into a source language, translates it using AI inference, and then generates the audio in a target language along with an aligned transcript. This multi-step process streamlines multilingual communication, making it highly significant for professionals working in global environments. The technical underpinning of the AI Content Translator relies on Telnyx's robust infrastructure, which allows for co-located inference to minimize latency, achieving round-trip times under 200 milliseconds. Built using Python and Flask, the service accepts API requests and integrates seamlessly with Telnyx products. Developers can easily set it up through provided commands and use various models for STT and TTS, which enhances accessibility and efficiency for diverse applications. By removing language barriers, this tool promises to improve collaboration and content accessibility across industries.