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Zohal
An AI sanitization workbench for chats and documents.
ZOHAL sanitizes sensitive chats and documents before they reach AI. It detects names, companies, emails, pricing, roles, and hidden context; lets you review aliases; then creates an AI-safe version you can ask questions about, cite, share, or export.
Hey PH 👋
I built ZOHAL because I kept having this annoying problem:
I wanted to use AI on real chats and docs… but the real stuff is always full of names, emails, company names, pricing, client context, and random details I didn’t want to paste anywhere.
So the MVP is simple: **sanitize private chats and documents before using AI on them.** Handles PII in both English and Arabic
You paste or upload a file, ZOHAL finds the sensitive bits, suggests safe aliases like `[PERSON_1]` or `[COMPANY_A]`, and lets you review them before creating a clean version.
Then you can work with that sanitized version; ask questions, explain parts, check claims against the source, and export something safe to share.
I’m calling it a sanitization workbench for now, but honestly I’m still figuring out the exact positioning.
Would love feedback from anyone who deals with messy private docs, client notes, transcripts, or internal chats.
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About Zohal on Product Hunt
“An AI sanitization workbench for chats and documents.”
Zohal was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #42 on the daily leaderboard. ZOHAL sanitizes sensitive chats and documents before they reach AI. It detects names, companies, emails, pricing, roles, and hidden context; lets you review aliases; then creates an AI-safe version you can ask questions about, cite, share, or export.
Zohal was featured in Productivity (655.7k followers), Anonymous (6.7k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 250.4k products, making this a competitive space to launch in.
Who hunted Zohal?
Zohal was hunted by Abdullah Al Dihani. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Abdullah Al Dihani