Sanitizer

Sanitizer from Provexar solves a problem that keeps cropping up whenever sensitive documents meet AI assistants. You've got contracts, financial records, or client files that could benefit from analysis or summarization, but feeding them directly to a language model means exposing names, credentials, and confidential details to external servers. Sanitizer intercepts that workflow by scrubbing documents on your own machine before anything leaves your computer. The tool converts bulky PDFs and Word files into clean Markdown and flat CSV formats, stripping away the formatting bloat while extracting and redacting sensitive data according to your project policies. What remains is a lightweight, anonymized version ready for AI processing without the privacy headache. A 40 MB PDF becomes a fraction of that size while preserving the actual content that matters.

The way Sanitizer handles redaction sets it apart from simpler anonymization scripts. It operates in what the developers call reversible mode, replacing sensitive information with opaque tokens rather than deleting it outright. Names become placeholders, account numbers become references, and identifying details transform into neutral markers that carry no meaning outside your local vault. The AI works with these placeholder tokens and returns its analysis referencing them. Then Sanitizer restores the original values locally, so your final output reads naturally with real names and figures intact. The language model never sees the actual sensitive content, but you get results that make sense in context. This approach means you can run queries against client documents, summarize internal reports, or build searchable knowledge bases without compromising confidentiality. The un-redaction vault stays entirely on your device, never touching any cloud service or requiring any network connection to function.

Beyond sanitization, the tool includes a dual indexing system designed specifically for AI retrieval workflows. Full-text indexing handles exact term searches when you need precision, finding specific phrases or identifiers across your document collection. Semantic indexing interprets meaning for broader queries, understanding that a question about revenue growth should surface financial projections even if those exact words don't appear. When you ask a question, Sanitizer's retrieval tools automatically pull relevant paragraphs along with citations back to the source material. This combination makes it practical to maintain searchable archives of company documents without manually tagging everything or relying on external search services that would require uploading your files. The conversion step also helps here by reducing file sizes significantly, so retrieval operations don't choke on bloated originals and AI context windows don't fill up with formatting noise rather than actual content.

Provexar offers two editions of Sanitizer. The Personal version runs free on Windows 10 and 11, requires no administrator privileges, and installs per-user with a footprint around 450 MB. Everything works without creating accounts, submitting registration information, or connecting to license servers. For business use, there's a $49.99 monthly subscription available through the Microsoft Store, which includes automatic updates and is licensed for commercial and team workflows. Both versions share the same core functionality with local-only processing and no cloud uploads. A 15-day trial through the Microsoft Store lets business users evaluate the full feature set before committing to the subscription. Version 1.0.1 is currently available with ongoing updates expected.

The target audience splits naturally between individual professionals and company teams. Solo consultants handling client documents, researchers working with private datasets, journalists protecting sources, or anyone who wants to use AI assistants without sending sensitive files to external servers will find the Personal edition covers their needs. Business teams can use the paid tier to standardize document preparation across departments, maintaining consistent redaction policies while building internal knowledge bases that stay internal. Legal teams can analyze contracts without exposing client details. Finance teams can summarize reports without leaking proprietary figures. The tool doesn't require integrations with specific AI platforms since it works at the document level before you ever paste content into ChatGPT, Claude, or whatever assistant you prefer. Whatever workflow you already have, Sanitizer slots in at the preparation stage.

What makes Sanitizer genuinely useful rather than just another privacy tool is that it treats the entire workflow as one connected problem. Converting formats, sanitizing content, indexing for retrieval, and reversing redaction after analysis are all handled in a single local application rather than requiring multiple utilities cobbled together. There's no juggling separate converters, anonymizers, and search tools or uploading to conversion services first. The emphasis on reducing context window waste through format optimization also shows practical thinking about how people actually use these tools with token-limited models where every character counts. For anyone regularly processing confidential documents who's tired of manually scrubbing names or avoiding AI assistance altogether out of caution, Sanitizer offers a structured way to get the benefits without the exposure risks that come from sending private data through external services.