Indagar recovers the hidden editing history saved inside a PDF — every earlier version of a payslip, bank statement or rental statement — then cross-checks the figures, identities and ABNs against each other. What changed, when, and what doesn't add up.
A doctored document usually carries its own history: earlier saves with different names, an ABN that belongs to someone else, totals that only balance because one figure was typed over. Indagar reads all of it.
Every time a PDF is edited and re-saved, the old version can remain inside the file. Indagar recovers each saved state and shows exactly what changed between them — names, employers, amounts, dates.
Net = gross − tax. Super at the legislated rate for the pay date. YTD that only moves forward. Rent minus fees equals the owner payment. ABN checksums and live register lookups. When arithmetic can't be read reliably, Indagar skips — it never guesses.
A branded analysis report with a risk score, every check listed, save-by-save comparison tables, and exhibit pages with the changed content boxed on the document image. Observable facts, stated plainly.
No training, no templates to set up. Indagar works on ordinary PDFs — payslips, bank statements, rental statements, rates notices, income statements and tax documents.
Drag a client PDF into Indagar. Analysis starts immediately and takes seconds.
Saved versions are recovered and read, identities and ABNs compared, every figure recomputed, typography and producer software examined.
A clear risk score with the reasons, recommended verification steps, and a downloadable report for the file.
Documents are examined locally on your own device — they are not uploaded to a server or stored anywhere. Optional checks (AI vision reading, ABN register lookup) send only the minimum needed for that check, and are off by default.
NOTHING STORED · NOTHING SHARED · SHA-256 EVIDENCE TRAIL IN EVERY REPORT