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RakshIQ
Self-hosted PII detection & redaction for AI pipelines
Rakshiq detects & redacts PII before it reaches your model self-hosted, so data never leaves your infrastructure. What's different: • 100% offline: no phone-home, no data sent to us, ever • Presidio-compatible API a drop-in for existing setups • Built for India: Aadhaar, PAN, GSTIN, IFSC, UPI & more, with checksum validation • Multilingual name/place detection (Hindi + English) • Checksums + libphonenumber, not just regex fewer false positives
Hey Product Hunt 👋
I built Rakshiq after watching teams pipe customer data straight into
LLMs and third-party APIs with no real idea how much PII was going along
for the ride. The usual answer Microsoft Presidio is solid, but it's
a Python library you have to host, tune, and babysit, and its coverage of
Indian identifiers (Aadhaar, PAN, GSTIN, UPI…) is thin.
So Rakshiq started as a simple idea: Presidio-compatible, but self-hosted
and with India built in. It keeps a compatible API so existing setups can
switch with almost no code change, but everything runs inside your own
infrastructure no phone-home, no data sent to us, ever. You can pull the
network cable and it still works.
The hardest part was false positives. Naive regex flags every 12-digit
number as an Aadhaar and every long number as a phone. So detection is
backed by real validation Verhoeff and Luhn checksums, libphonenumber,
PAN holder-type checks which got India recall to ~97% while keeping
precision high. It also handles Hindi and English names/places out of the box.
It ships as a Docker image and the license is a signed key you verify
offline. Would love your feedback especially which other identifiers or
languages you'd want covered next.
About RakshIQ on Product Hunt
“Self-hosted PII detection & redaction for AI pipelines”
RakshIQ was submitted on Product Hunt and earned 0 upvotes and 5 comments, placing #97 on the daily leaderboard. Rakshiq detects & redacts PII before it reaches your model self-hosted, so data never leaves your infrastructure. What's different: • 100% offline: no phone-home, no data sent to us, ever • Presidio-compatible API a drop-in for existing setups • Built for India: Aadhaar, PAN, GSTIN, IFSC, UPI & more, with checksum validation • Multilingual name/place detection (Hindi + English) • Checksums + libphonenumber, not just regex fewer false positives
On the analytics side, RakshIQ competes within Privacy, Developer Tools, Artificial Intelligence and Vercel Day — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how RakshIQ performed against the three products that launched closest to it on the same day.
Who hunted RakshIQ?
RakshIQ was hunted by Vikash kumar Upadhyay. 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.
For a complete overview of RakshIQ including community comment highlights and product details, visit the product overview.
Vikash kumar Upadhyay