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Pavel Kazantsev
Pavel Kazantsev is a local-first QA tool compares a digital-product listing with the PDF or ZIP a buyer receives.
PromiseDiff is a local-first quality assurance tool designed for PDF sellers to verify that digital products match their listing claims. It operates by taking a pasted listing and an uploaded PDF or ZIP file to identify what the files support, contradict, or leave unverified. The tool uses PyMuPDF for direct measurements like page counts, dimensions, and file inventory. For semantic promises, it uses local Gemma through Ollama to read relevant excerpts and interpret claims. It ensures model answers are backed by concrete evidence such as existing filenames, valid pages, and exact quotes in extracted text. The system also includes safety boundaries for untrusted uploads by capping size and rejecting malicious structures.
Pavel Kazantsev at a glance
- Best for: Software engineer, Product manager
- Runs on: Web, API, self-hosted, open source
- Pricing: Open source
- Released: October 2026
- Category: AI research tool
- Website: pkazantsev.com
Key features
- Compares digital-product listings with PDFs or ZIPs
- Measures page counts, dimensions, and file inventory with PyMuPDF
- Interprets semantic promises using local Gemma through Ollama
- Validates model citations against extracted text
- Classifies missing evidence as unverified rather than false
- Enforces upload boundaries for size and security
- Runs ten independently labelled synthetic benchmark cases
Use it for
- Checking pre-publish digital products against their listings
- Validating page counts and dimensions of delivered PDFs
- Verifying file inventories in ZIP archives
- Auditing semantic claims against actual document content
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