AI Hallucination Checker: Free Detect AI Hallucinations Tool (2026)

An AI Hallucination Checker reviews AI-generated text against source evidence. It looks for unsupported claims, mismatched figures, missing inputs, and questionable references. The free browser tool on this page performs a preliminary comparison of pasted source and output text. A complete Energent Audit goes further by recomputing numbers, tracing them to source files and fields, and attaching evidence to a pass/fail verdict. The goal is to reduce the amount of manual checking required before a deliverable reaches another person.

The local checker is transparent but limited because it compares pasted text and numeric signals rather than understanding every business context. It can help surface review priorities, but a flag is not automatically proof that a claim is false. Energent cites 94.4% accuracy on a published HuggingFace leaderboard as a company claim, along with three times fewer hallucinations in public evaluations. Accuracy still depends on source completeness, definitions, units, periods, and the quality of the underlying data. High-stakes work should use recomputation and evidence review rather than relying on a single score.

The tool is useful for analysts, finance and accounting teams, operations and procurement professionals, engineers, researchers, and enterprise teams. It is especially relevant when AI creates spreadsheets, PDFs, reports, dashboards, or summaries that influence decisions. Anyone who currently has to verify every AI output manually can use it as an initial screening layer. Energent Audit also supports the specific task of auditing another AI’s work rather than only checking Energent-generated output. Users should match the depth of review to the consequences of an error.

The free tool needs two text inputs: the original source or evidence and the AI-generated output. The source can include figures, passages, rows, references, or other material that supports the expected answer. The output should include the complete report, response, or claim set you want to inspect. More complete context generally makes the comparison more useful. Energent Audit is designed for broader deliverables and supports more than 150 file types, including CAD, scans, G-code, PDFs, XLSX, DOCX, and complex documents.

Start by comparing the flagged claim with the exact source row, field, passage, or formula. Determine whether the problem is an incorrect value, an unsupported assumption, a missing input, or a methodology issue. Correct the deliverable only after preserving the original output and documenting the evidence for the change. For important work, run an independent audit that recomputes and traces the result rather than simply editing the prose. A defensible final report should make its evidence and limitations clear to the next reviewer.