DIG Text Analyzer

Know what's wrong with your copy before a single reader ever sees it.

Every readability tool tells you if your writing is correct and clear. None tell you if it holds attention.

This measures the rhythm between new ideas and reinforcement across your entire piece. When that rhythm breaks, readers leave.

Built on 80 years of cognitive science, information theory, and computational linguistics. Five fields. One finding. First tool to measure it.

Balanced analysis. Good for most copy.
▶ Advanced controls
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Flow Score
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Top-performing sales copy averages 68-75%
Attention Map (hover for details)
Start25%50%75%End
Stability Index (S) Across Text
Overload Repetitive Balanced
Expansion vs Compression
Analysis
Fix Your Copy

These buttons generate a detailed editing brief you can paste into any AI (ChatGPT, Claude, Gemini). The AI gets your full text, the exact problem locations, specific diagnoses, and precise fix instructions. It rewrites only the broken sections while keeping everything else intact.

Based on your current mode and settings. Includes all problems found.
Run the simulation first. This will only include problems confirmed across 3+ settings.
How does this work?

When you read, your brain does two things at once. It processes new information (ideas, claims, details you haven't seen yet) and reinforcement (repetition, callbacks, anchoring to what's already established).

Good writing balances these. Give the reader something new, then anchor it. Something new, anchor it. Like breathing. When the rhythm works, you don't notice it. You just keep reading.

Bad writing breaks this rhythm in two ways:

OVERLOAD: Too many new concepts too fast. Your working memory maxes out. You feel lost. You leave.

REPETITION: The same ideas restated with the same words. Nothing new arrives. You feel bored. You leave.

This tool measures that rhythm mathematically. It slides a window across your text and at each position computes how much is new (Expansion) versus how much is repeated (Compression). The ratio between them is the Stability Index (S).

S near zero = balanced. Reader stays engaged.
S spikes positive = overloaded. Reader is overwhelmed.
S spikes negative = repetitive. Reader is bored.

The science behind this spans five independent research fields: cognitive load theory (Sweller, 1988), redundancy research (Mayer, 2001), Shannon information theory (1948), lexical diversity studies (Johnson, 1944+), and the Coh-Metrix engagement research (Graesser & McNamara, 2004-2014). All five converge on the same finding: the balance between novelty and reinforcement determines whether people keep reading.

This is the first tool that unifies those findings into a single measurement.