Measured Clarity for Writing in the AI Era
WritingSignal analyzes writing patterns to estimate the likelihood of AI assistance, explain the evidence, and keep uncertainty visible. When you want to revise, the AI Humanizer helps improve flow, readability, tone, and voice.
An evidence-based likelihood assessment, never proof of authorship.
Analysis Overview
Fictional Product Preview
AI Likelihood
68/100
Confidence
54/100
Human Editing
72/100
What Influenced This Estimate
Repeated sentence structure and unusually consistent pacing increased the estimate. Visible variation and editing signals keep the result uncertain.
See the writing patterns that influenced the assessment instead of receiving an unexplained label.
Understand how dependable the estimate may be without confusing confidence with AI likelihood.
Your writing stays inside private, account-scoped workflows and is excluded from ordinary logs and analytics.
Every result keeps uncertainty and practical limits close to the evidence that needs human review.
How It Works
The experience stays simple while the assessment remains careful about what the evidence can and cannot establish.
Paste English text or upload a supported private document when you are signed in.
WritingSignal examines linguistic and structural patterns through a private analysis workflow.
Read the likelihood, confidence, human-editing signals, explanations, strengths, and limitations together.
AI Detector
WritingSignal analyzes writing patterns and signals to provide an evidence-based likelihood assessment. It explains what influenced the result and where the evidence may be incomplete.
How strongly the writing resembles measured AI-associated patterns.
How dependable the estimate may be for this specific sample.
Independent signals of revision, shaping, and variation.
Readable observations that connect evidence to the assessment.
68
Likelihood
54
Confidence
72
Human Editing
A Complete Result Includes
False positives and false negatives are possible. Always review the writing, context, confidence, and limitations together.
Revision Comparison
AI HumanizerOriginal
The implementation of the new process provides an opportunity for the team to facilitate improved communication outcomes.
Humanized
The new process gives the team a clearer way to communicate and work together.
Fictional illustration. Actual output depends on the source and instructions.
AI Humanizer
Detection and transformation are different jobs. The AI Humanizer revises writing for naturalness, clarity, flow, tone, and personal voice without claiming to guarantee a detector outcome.
Use Cases
WritingSignal supports several kinds of work, while responsibility for important decisions always remains with people.
Understand how a draft may be interpreted and prepare useful context for a fair conversation.
Review transparent signals without turning a probabilistic result into an automatic academic decision.
Work with versioned scores, visible limitations, and evidence that can be discussed critically.
Assess submitted writing while keeping editorial judgment and the surrounding context in view.
Support responsible content review with clear explanations and private account-scoped workflows.
Use writing signals only as context while keeping employment decisions in qualified human hands.
See where a draft appears repetitive or machine-like, then improve flow and voice with the AI Humanizer.
Document observations and uncertainty when investigating how public-facing writing may have been produced.
Why WritingSignal
A complicated question should not be reduced to an unexplained label. WritingSignal shows the reasoning and uncertainty a responsible review needs.
Simplistic Approach
A binary label can make an estimate look final.
WritingSignal Approach
WritingSignal describes how strongly the writing resembles measured patterns.
Simplistic Approach
A single result can leave people guessing why it appeared.
WritingSignal Approach
WritingSignal connects its assessment to clear, readable observations.
Simplistic Approach
Hidden reasoning makes it difficult to judge whether a result is useful.
WritingSignal Approach
WritingSignal keeps confidence and limitations beside the assessment.
Simplistic Approach
A label can be misused as an accusation about who wrote something.
WritingSignal Approach
WritingSignal provides signals for careful review, never proof of authorship.
Transparent Pricing
Detector and Humanizer words are tracked separately, so you can always see what is included and what remains.
WritingSignal Plan
For students, occasional writers, and focused document checks.
$14.99/month
Save $36 with annual billing
WritingSignal Plan
For freelancers, copywriters, bloggers, and regular creators.
$34.99/month
Save $84 with annual billing
5x Starter detection and 5x the Starter add-on Humanizer allowance
WritingSignal Plan
For agencies, publishers, and high-volume content operations.
$89.99/month
Save $216 with annual billing
Plans are prepaid through secure crypto checkout and do not renew automatically. Additional detector-word packs are not currently offered. Starter users can add 10,000 Humanizer words per month through the approved Humanizer add-on.
Responsible Use
WritingSignal is designed to help people ask better questions. It cannot identify an author, establish intent, or settle a high-stakes decision by itself.
Use the analysis as one source of context. Decisions about education, employment, publishing, or reputation need fair human review.
AI writing analysis can produce false positives and false negatives. Short, edited, translated, or specialized writing can be especially difficult to assess.
WritingSignal is being designed around private-by-default analysis and clear control over how submitted writing is handled.
Frequently Asked Questions
The responsible way to use WritingSignal starts with understanding what the product does, how words are counted, and where its limits remain.
No. WritingSignal estimates the likelihood of AI assistance from writing patterns. The result can be wrong and should never be treated as proof of authorship, intent, or misconduct.
It transforms writing to improve naturalness, readability, flow, tone, and personal voice. It does not guarantee how another detector will classify the result.
WritingSignal uses private, account-scoped storage and excludes submitted writing from ordinary logs, analytics, queue messages, and service emails. Humanizer requests are sent to an approved external AI processor as explained before submission.
No. Detector and Humanizer words are finalized only when their respective workflows complete successfully. Failed or rejected work releases the reservation.
Yes. Completed AI Detector and AI Humanizer results include private, client-generated text downloads after you open the authorized result.
Clarity Without False Certainty
Create your account, choose the plan that fits your workload, and keep evidence, revision, and private result history in one workspace.