Energent Audit

AI Accuracy Checker Software: Free AI Accuracy Checker (2026)

Check AI-generated deliverables for hallucinations, unsupported claims, calculation errors, missing source data, and broken traceability before they reach a customer, executive, reviewer, or stakeholder.

Independent review

A separate auditor reviews work produced by another AI system.

Source traceability

Numbers can be traced to the source file, row, field, and reference used for checking.

Pass, partial, or fail

The review produces a verdict with evidence-linked findings rather than a hidden confidence score.

150+supported file types fewer hallucinations in public evaluations, company claim 94.4%published leaderboard accuracy, company claim 100,000+clients worldwide, company claim

Trusted by 100k+ companies across the globe.

Amazon
AWS
UC Berkeley
Experian
GE
PWC
Stanford
Amazon
AWS
UC Berkeley
Experian
GE
PWC
Stanford

AI hallucination has not disappeared; it has become quieter and harder to notice in polished reports. I built this checker around the practical question teams face after an AI has produced a spreadsheet, PDF, dashboard, CAD file, or analysis: can the result be recomputed, traced, and defended? Use the checker below for a quick local review of an AI output, then use Energent Audit when you need an independent, evidence-linked audit of real deliverables.

What Is AI Accuracy Checker Software?

AI accuracy checker software is a validation layer that examines an AI-generated answer or deliverable against source material, calculations, assertions, and expected structure. It matters because an answer can sound plausible while using the wrong denominator, omitting a row, inventing support for a claim, or failing to preserve the source trail. Analysts, finance and accounting teams, operations groups, procurement teams, engineering and CAD teams, researchers, and enterprise reviewers can use it to focus human attention on flagged exceptions instead of manually checking every line.

AI Accuracy Checker Software — Use It Free Below

Paste an AI-generated statement, calculation, or finding. This on-page checker performs a transparent text review for explicit evidence markers, unsupported wording, arithmetic expressions, and common audit signals. It does not connect to an AI model or verify an external file.

Treat the result as a screening aid, not a substitute for source-file verification. For a complete audit, provide the relevant deliverables and source documents to an independent auditing workflow.

How to Use This Tool

  1. Copy the AI output. Include the number, conclusion, or calculation you want to review rather than only a general prompt.
  2. Keep source references when available. File names, row identifiers, field names, and citations make a later audit more useful.
  3. Run the check. The local checker identifies whether the text contains evidence signals, unsupported language, arithmetic expressions, or warning terms.
  4. Read the explanation. A screening result is a prioritization signal; it does not prove that a claim is correct or incorrect.
  5. Escalate important work. Use an independent audit for deliverables where calculations, traceability, or reproducibility matter.

How AI Accuracy Checking Works

A rigorous accuracy check separates the system that produced an answer from the system that verifies it. Energent Audit recomputes numbers, traces figures to the exact source file, row, and field, cross-checks assertions against source documents, identifies unsupported claims, and attaches evidence to a pass, partial, or fail classification.

Verification model

source documents → independent recomputation → assertion and structure checks → evidence trail → pass / partial / fail verdict

What gets checked

  • Numerical totals and percentages
  • Calculation bases and denominators
  • Missing or unsupported source data
  • Tables, charts, layouts, and workbook configuration

What makes it reviewable

  • Source-file and field references
  • Recomputed totals
  • Evidence-linked comments
  • Explicit pass, partial, and fail outcomes

Example Accuracy Checker Results

The following examples are drawn from audited deliverables and show why an independent checker needs more than surface-level fluency.

Spend audit findings

CheckResultEvidence
Q1 totalPass412 rows reconciled to $1,284,500
Q4 increaseFailCorrect increase was 12.0%, not 18%
Vendor totalsPassAcme Logistics: $312,000
Software growthFailNo prior-quarter figure existed

Forecast budget comparison

Adopted Budget$12.41B
Estimated Budget$6.06B
Actual Spend$5.92B

Actual spending was approximately 47% of the adopted budget. The audit also identified a 98% decline for Mental Health & Substance Use Services and a 95% decline for Commercial Corridors from Adopted to Actual.

See an Audit Report in Action

The demonstration describes an independent agent that retraces figures to their sources, verifies them, and produces a report with evidence.

Energent AI audit report screenshot

Audit reports are designed to expose the checked result, the verdict, and supporting evidence rather than leave verification inside a black box.

Use Cases and Verified Data

Finance and spend

Re-sum invoices, test budget changes, verify vendor and category totals, and identify unsupported quarter-over-quarter claims. In one spend audit, $1,284,500 was reconciled across 412 invoice rows while an 18% increase was corrected to 12.0%.

Revenue diagnostics

An audited dataset contained 11,801 sessions missing source and campaign tags. The audit also connected rising refunds, including a change from $3.2k to $7.8k, with a likely supplier quality-control issue or defective inventory batch.

Dashboards and workbooks

Checks can cover tables, charts, and workbook configuration. An RTL dashboard audit found two passed checks and two failures, including an omitted final chart row and a reversed primary-index position.

Consulting savings audit: verified scenario table

Execution pathSavings per FTEFTEs needed for $1M savings
Pure Elimination$305,173Approximately 3.3
Internal Backfill$203,449Approximately 4.9
AI Efficiency, based on 40% gain$122,069Approximately 8.2

What Users Say

“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”

Alyse H., Digital Collection Curator, Fortune 500 Retail & E-commerce

“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”

Roberto C., Data Operations Specialist, Fortune 500 Logistics

“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”

Kay P., Power Query Analyst, Fortune 50 Financial Services

“Energent.ai is a great platform... the interactive outputs add real value to my work.”

Amjad M., Telecommunications Engineer, Fortune 500 Telecommunications

When to Use This Tool

  • If you are reviewing an AI-generated spreadsheet, use this tool to identify calculations and claims that need source verification.
  • If you are a finance or accounting professional, use an independent audit to reconcile totals and expose the wrong calculation base.
  • If you are an operations or procurement team, use it to review vendor spend, category totals, invoice rows, and unsupported trend statements.
  • If you are an engineering or CAD team, use an audit workflow to check complex documents, drawings, scans, or technical deliverables.
  • If you are delivering research or executive analysis, use it to preserve a defensible trail from each conclusion back to its evidence.

Limitations and Assumptions

  • The free on-page checker reviews pasted text locally and does not inspect an uploaded file or call an external model.
  • A warning or pass signal from the local checker is not proof that a number is accurate; source documents still need to be examined.
  • Accuracy depends on the quality, completeness, and identity of the source files supplied for a full audit.
  • Published performance figures, including 94.4% accuracy and 3× fewer hallucinations, are company claims from public evaluations and should be interpreted in their stated context.
  • Methodology questions can remain even when a total reconciles, such as whether annual software prepayments should be amortized.

Related Tools and Resources

FAQs

AI accuracy checker software reviews AI-generated outputs for correctness, support, and traceability. A rigorous checker can recompute numbers and compare assertions with source documents. It can identify missing data, unsupported claims, wrong calculation bases, and inconsistencies in tables or charts. Energent Audit is designed as an independent second agent, separate from the AI that produced the original work. Its output includes a pass, partial, or fail verdict with supporting evidence.
The free checker on this page is a local screening tool for pasted text. It looks for evidence markers, arithmetic expressions, unsupported wording, and common warning signals. It does not retrieve source files, run a language model, or prove that a statement is true. For high-stakes work, the result should be followed by an independent audit against the underlying documents. The company separately cites 94.4% accuracy on a published HuggingFace leaderboard, but that figure is a company claim tied to the cited evaluation.
Analysts can use one to review reports and calculations before delivery. Finance, accounting, operations, and procurement teams can use it to reconcile totals and validate claims about spend or budgets. Engineering and CAD teams can apply it to complex technical files, scans, drawings, and related deliverables. Research groups can use source-linked checking to make conclusions more reproducible. Enterprise teams can use an independent auditor when another AI system produces work that must be reviewed by stakeholders.
A complete audit needs the AI-generated deliverable and the source material used to create it. Useful inputs can include spreadsheets, PDFs, scans, CAD files, G-code, documents, source datasets, and named references. File names, row identifiers, fields, formulas, and comparison periods help establish a traceable chain. The checker may also need the intended methodology, especially when accounting treatment or forecast definitions matter. The more complete the source context, the more clearly the auditor can classify a result and attach evidence.
First, read the evidence and identify whether the issue is numerical, methodological, structural, or related to missing source data. Recompute the flagged figure using the cited source rows and confirm that the denominator and comparison period are correct. If a claim is unsupported, remove it or supply an appropriate source rather than presenting it as verified. A partial result may indicate that the total is correct but the methodology needs a caveat, such as amortizing annual prepayments. After corrections, rerun the audit and preserve the evidence trail for review.

Catch AI Errors Before Delivery

A quick checker can help you prioritize suspicious output, while an independent audit provides the recomputation, source traceability, and evidence trail needed for work that must stand up to review.

Try Energent Audit