The problem
Turn private speech into useful written artifacts without hiding where processing happens, replacing source material silently, or presenting sample output as live-model intelligence.
Trustworthy AI transcript interaction, built local-first
A local-first transcript workspace that keeps raw speech, AI drafts, provider state, retention, and failure recovery visible throughout the workflow.

ThreadScribe treats raw speech, provider state, transformed output, retention, and recovery as first-class parts of the same product. The useful artifact is only trustworthy when the path that produced it remains inspectable.
Turn private speech into useful written artifacts without hiding where processing happens, replacing source material silently, or presenting sample output as live-model intelligence.
Solo builders who record implementation notes, bug reports, planning thoughts, and short voice memos that need to become durable, searchable work.
Independent product direction, UX/UI, Next.js implementation, local persistence, AI evaluation, privacy review, accessibility, and release evidence
Kept timestamped raw segments beside transformed drafts so the source remains inspectable.
Made sample, local, and cloud provider modes explicit, with external calls disabled by default.
Stored sessions, edits, outputs, tags, and exports in a local SQLite library with verified deletion behavior.
Preserved audio previews and prior work across cancellation, worker failure, malformed output, and retry.



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