Prepare WordStar Archives for AI and RAG — Offline
The model cannot read high-bit wrap. Give it headings instead.

TL;DR
Convert to Markdown with WordStar Converter, chunk by heading, embed locally. Trial 10 files. Standard $39.95.
Why not PDF for RAG
PDF extraction reintroduces layout noise. Markdown from a native WordStar parse keeps headings and emphasis as structure a chunker can split on, without wrap-flag garbage.
The offline prep path
- Batch-convert `.ws` / `.wsd` / `.ws5`–`.ws7` to Markdown on Windows.
- Keep originals offline; feed only the Markdown tree to your indexer.
- Chunk on headings and letter boundaries, not on raw 2k-character windows through mojibake.
- Embed with your local or VPC model stack — never paste privileged letters into a consumer chat box.
What the converter must fix first
Retrieval-Augmented Generation (RAG) quality collapses if the source text still contains high-bit wrap bytes and literal `.pl 66` lines. Unwrap and interpret those layers once, offline, then treat Markdown as the system of record for embedding.
Privacy boundary
Conversion is local. Your embedding service is a separate decision. Do not blur them: get clean Markdown on this PC first, then apply whatever AI policy your organization already uses for other documents.
Convert your files
Related reading
Convert to Markdown on this PC
Trial 10 files. License $39.95.
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Windows 10 or 11
The Windows installer for the 10-file trial is coming soon. Same app you unlock with a license — 100% local on your PC.
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Windows installer