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HiddenContent.ai

Find the text in a document your AI reads and you can't see

This is 1 of 263 launches in markdown editors and documentation tools — see how it stacks up on momentum and crowding →

134 other launches read as similar to this one →

Details

External ID
1261824
Source
PH
Company
—
Product
HiddenContent.ai
Website domain
producthunt.com
Launched
Oct. 5, 2026
Cohort
—
Upvotes
2
Upvotes percentile
0.7747427731504165
Tags
Developer Tools, Artificial Intelligence, Security
Fetched at
Oct. 5, 2026, 5:01 p.m.
Updated at
Oct. 5, 2026, 5:01 p.m.

Description

An MCP/API to check Word, PDF, Excel, PowerPoint and web pages for hidden text before your AI reads it: white text, tiny text, text off the page, invisible characters. Shows exactly what's hidden and where. Add it to Claude, ChatGPT or Cursor. 20 pages free.

Enrichment

Theme
markdown editors and documentation tools
Vertical
Security
Function
Compliance & governance
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
hidden text detector in documents for prompt injection defense
Manually corrected
False

Could you build this?

Partial Detecting hidden prompt injections or zero-point text across Office documents and complex PDFs requires deep low-level document parsing beyond standard text extraction.

What it would actually take: Requires low-level document AST parsers (such as `pdfminer.six` or MuPDF for PDFs, `python-docx`/OpenXML SDK for DOCX, and OpenPyXL for XLSX) to inspect text rendering properties: font size, color matching background RGB values, coordinates outside the media box, and invisible Unicode control characters (like zero-width spaces). The hard part is handling nuances of PDF drawing streams, complex transparency groups, and nested OOXML styles without false positives. Stack would be a Python FastAPI service exposing an MCP/REST API, backed by specialized document rendering libraries.

Competitors

Other products that read as similar to this one — 134 launches clear the similarity bar, closest 8 shown.

Attention rank: #18 of 135 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a compliance & governance tool for Media & entertainment yet.