Analysis and the Analyzer

Analysis & the Analyzer

Once a book is saved, Castwright reads it chapter by chapter, detects every speaking character, and tags each line with who's speaking it. The Analysing screen streams live progress — phase, percentage, ETA, and the cast roster as it's discovered.

Choosing an analyzer

The model picker on the upload screen groups two kinds of analyzer:

• Local Ollama (on-device) — free, private, runs on your own GPU/CPU. Whatever tags you've pulled with Ollama show up here automatically.
• Gemini / Gemma (cloud) — Google's free-tier API. Useful on a low-VRAM machine, or when you'd rather not tie up local compute.

See Installing Castwright for setting up either path (pulling an Ollama model vs. adding a Gemini API key).

A cloud analyzer also unlocks a pipelined two-model split on the Analysing screen itself — a cheaper/faster model for Phase 0 (detecting characters) and a different Gemini model for Phase 1 (parsing and attribution), configured independently per phase. Leave both on "(use server default)" for the ordinary single-model path.

Next: Reviewing Low-Confidence Speaker Tags.