Local LLM transcription API deployment: a practical architecture
Separate local recognition from language processing, measure capacity, and map every storage and network boundary.
Read the field guideTRANSCRIPTION API LAB / CATEGORY
Local & AI Workflows
Connect speech recognition to local runtimes and transcript-based chat without losing the source record. These guides separate where processing happens from how access, interpretation, and approval are controlled.
Begin with local deployment to map the recognizer, job layer, storage, and optional language model. Then use the chat workflow guide to make answers traceable to authorized source segments. Local execution changes a data path; it does not automatically validate the transcript or authorize an action.
02 FIELD GUIDES / LOCAL & AI WORKFLOWS
Chat transcription API workflows: ground answers in the recording
Design source-linked answers, permission-aware retrieval, and an explicit boundary between speech and action.
Read the field guideCONNECT THE IDEAS
From field notes to foundations.
Local LLM Transcription API
Evaluate self-hosted recognition and optional LLM tasks as a complete operating system.
Read the overviewChat Transcription API
Use transcript evidence in chat without losing source context or application control.
Read the overviewGood questions build better systems.
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