DetectHiddenFees

I built DetectHiddenFees.com because I noticed a common problem: people often agree to contracts, bills, estimates, and financing documents without realizing how many hidden costs can be buried inside them. The goal was simple — create an AI tool that helps everyday consumers understand what they are signing before it costs them money. Behind the scenes, I focused on building something that doesn’t just find keywords, but helps identify suspicious fees, unclear pricing, and areas where people should ask better questions. I’d love feedback from the community: What types of documents or fees would you want an AI tool like this to analyze?

Smart wedge — people feel this pain exactly at signing, when they have the least time to read the fine print. The "questions to ask before signing" output is the part I'd lean into: flagging a fee is useful, but handing someone a script to push back is what actually saves money. Do you tune it per document type (lease vs auto loan vs medical bill)? The traps are so different across them.

Really like the angle — fee opacity is exactly the kind of problem people don't notice until it compounds. I work with US tax and paycheck data, and the parallel is striking: people rarely know their real effective rates either. Curious about coverage though: does it handle recurring subscription fees and bank/brokerage fee schedules, or is it focused on one-off purchases and bills?

The amount people lose to unchecked fees on invoices and contracts is shocking. Most of us don't have the time or expertise to spot all the hidden charges, especially in dealership financing or service agreements. This tool cuts through that friction point completely - you get the analysis without needing to be a contracts expert or spend hours on document review. For anyone signing major agreements regularly, the few dollars it saves per document pays for itself instantly.

For financial documents, the trust layer matters as much as detection. Showing the exact clause or line behind each flag, separating confirmed charges from possible risks, and stating the document-retention policy would make the output much easier to act on. The negotiation questions are a strong bridge from analysis to a real next step.

Hidden fees are one of the biggest friction points in financial decision-making. Most people simply don't have time to read through complex contracts, invoices, and terms carefully, so they just sign and hope. This shifts all the cognitive burden and risk to the consumer. Having an AI that can instantly flag suspicious charges, pricing traps, and unclear terms removes a major source of anxiety and financial losses. The fact that it works on contracts, bills, estimates, and invoices across multiple scenarios means it covers the entire customer lifecycle. This is especially powerful for protecting people from getting locked into deals they don't fully understand.