Audio-to-LLM in one API call: skip the STT-plus-LLM pipeline

Gladia’s Audio-to-LLM API combines audio transcription, pyannoteAI-powered speaker diarization, and configurable LLM analysis into a single asynchronous request, positioning itself as an alternative to chained speech-to-text and LLM services that require separate integrations, intermediate storage, schema normalization, and error handling. The service accepts uploaded audio or URLs, supports multiple prompts and structured text or JSON outputs, and returns transcripts, speaker labels, timestamps, prompt results, execution times, and per-prompt status in one response or webhook callback. Gladia argues that this approach reduces network latency, operational complexity, vendor coordination, and feature-based billing uncertainty while allowing users to select from multiple LLMs or connect custom endpoints. Its Solaria-3 model is aimed at European business audio in five languages, while Solaria-1 supports more than 100 languages and real-time streaming; however, the integrated Audio-to-LLM workflow is asynchronous and may not suit ultra-low-latency applications or organizations with highly specialized proprietary speech-recognition models. Pricing begins at $0.61 per hour on Starter and can reach $0.20 per hour on Growth, with audio intelligence features included but underlying LLM token costs charged separately, while the company recommends testing accuracy on representative production audio and notes that sensitive-data users should use Growth or Enterprise plans.

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