Large structured conversion
Segment oversized sources for responsive reading and editing while keeping full-document export paths for book-length manuscripts, research archives, and page-heavy PDFs.
Schema Docs converts Word, PDF, Excel, CSV, TXT, and Markdown into local, auditable context before anything is sent to an AI model.
The desktop app is open source and free to install. This public preview focuses on local conversion, local masking, and review before AI handoff.
Schema Docs is not trying to replace Office. It protects the point where a local document becomes prompt material, exchange package data, or a reviewable export.
Segment oversized sources for responsive reading and editing while keeping full-document export paths for book-length manuscripts, research archives, and page-heavy PDFs.
Review the exact context, token estimate, quality warnings, and Send Gate decision before a model receives anything.
Detect emails, phone numbers, credentials, bearer tokens, cloud key shapes, and other sensitive patterns before AI-assisted workflows.
Export styled A4 PDFs with CJK text, formulas, tables, local images, and bundled KaTeX fonts.
Create SDXP handoff bundles with Markdown, manifest, evidence, receiver report, and trust report so teams can audit what happened later.
Use the Windows installer from the public preview release, or inspect the source code directly on GitHub.
Schema Docs helps you inspect and clean document context before a model sees it, with evidence records that can be checked later.