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AI fact checker

AI fact checker with source-backed claim verdicts

Scan pasted text or uploaded documents to verify factual claims and review supported, contradicted, mixed, or unverified outcomes with evidence snippets.

Credit-based pricing: 4-20 credits based on detected word count.
Fact Checker Interactive Demo
Live preview

Document preview

1,900-word newsletter draft containing market stats, product claims, and timeline references.

Verification mode

Claims analyzed

Verification summary

Supported: 6

Contradicted: 2

Mixed: 3

Unverified: 1

How it works

Step 1
Paste text or upload a file

Submit raw content directly or upload a supported document for text extraction.

Step 2
Run claim verification

Namesive identifies factual statements and checks them against external evidence.

Step 3
Review and revise

Prioritize contradictions and low-confidence claims, then correct or cite sources before publishing.

Feature highlights

Claim-level verdicts

Each statement is labeled as supported, contradicted, mixed, or unverified.

Confidence-based prioritization

Sort edits by confidence so teams fix the highest-risk claims first.

Source evidence context

Inspect source links, domains, and snippets attached to each fact-check result.

Document upload support

Run checks on `.txt`, `.doc`, `.docx`, and `.pdf` files without manual copy-paste.

Export-ready reports

Download Markdown or PDF summaries for editorial and compliance review.

Example input and output

Input example

Text length: 2,100 words Topic: Industry trend analysis Source mode: Uploaded .pdf draft

Output example

Claims analyzed: 14 Supported: 9 Contradicted: 2 Mixed: 2 Unverified: 1 Recommendation: Correct two contradicted stats and add citations for mixed claims.

FAQ

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