DocDecoder is a Chrome extension utilizing GPT-4 to generate clear, concise summaries of website Terms & Conditions and Privacy Policies, helping users understand legal documents quickly.
Research & Analysisdocdecoder.appTracked since 2026-08-211 discovery source
504Backlinks
127Referring domains
16Domain authority
-0.8%Referring domains · 90 days
Authority & distribution
How strong is DocDecoder’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
504Current snapshot
Referring domains
127Current snapshot
Authority
16Domain authority · category median 21
90-day move
-0.8%Referring domains, last 90 days
At 16, DocDecoder sits below the 21 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“DocDecoder”
DocDecoder is a Chrome extension utilizing GPT-4 to generate clear, concise summaries of website Terms & Conditions and Privacy Policies, helping users understand legal documents quickly.
Research & AnalysisSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://docdecoder.app
Observed across 1 discovery source.
Research questions
What the evidence answers about DocDecoder.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does DocDecoder do?
DocDecoder is a Chrome extension that uses GPT-4 to generate clear, concise summaries of website Terms & Conditions and Privacy Policies. It helps users understand legal documents quickly by extracting key terms and highlighting their effects.
What problem does DocDecoder solve?
It solves the problem of lengthy, complex legal policies that users rarely read. The extension breaks down the legalese and highlights potentially harmful terms in red, allowing users to know what they are agreeing to at a glance.
What key features does DocDecoder offer?
Key features include real-time summaries of any legal policy via URL, color-coded highlighting of positive, negative, and neutral terms, flagging of harmful terms, and an AI assistant to ask specific questions about a policy.
How is DocDecoder priced?
DocDecoder operates on a freemium model. Free users can generate 2 new summaries per month and view unlimited existing summaries. The code is also open source on GitHub.
Who is DocDecoder designed for?
It is designed for any user who wants to understand website policies but is deterred by lengthy legal text. The homepage testimonial quotes indicate it is used by founders, engineers, and software developers.
What is DocDecoder?
DocDecoder is an open-source, no-account-required Chrome extension that leverages GPT-4 to summarize legal documents like privacy policies and terms of service, helping users understand what they agree to online.
Behind the lock
Unlock full DocDecoder intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured