The question arrives in a predictable form. Someone with eight units, or twenty, or forty reads that large operators use fraud-detection software on applicant documents, goes looking for it, and finds a category built for a different buyer. That is not a gap in the market so much as a difference in what the two buyers actually need.
What the enterprise category is shaped like
Publicly, platforms in this category — Snappt is the name most people arrive with — are sold to property-management organizations rather than to individuals. The shape is consistent enough to describe without guessing at any particular vendor’s terms: a contracted service, commonly priced against a portfolio rather than a single file, integrated with the leasing or applicant-tracking system so documents arrive automatically, and frequently bundled with tenant screening data the reviewer also wants. Check current pricing and terms with the vendor directly; Ocolta does not publish comparisons of another company’s contract.
That shape earns its cost when documents arrive continuously, when several people review them, and when the organization needs one consistent process it can audit later. It earns very little when you review nine applications a year and already know every one of them by name.
The enterprise product solves volume and consistency across reviewers. A small landlord has neither problem. What a small landlord has is one document, once, and no way to tell whether it came out of a bank.
The per-document alternative
For a small portfolio the workable substitute is a check you run on the file in front of you, on your own machine, at the moment the applicant sends it. Ocolta’s free Integrity Scan is that check. It runs entirely in your browser — the file is never uploaded to Ocolta — and it accepts PDF, PNG, JPG, and WebP files up to 15 MiB.
What it reports is narrow and concrete: whether the declared file type matches the file’s binary signature, which software the PDF names as its creator and producer, the creation and modification timestamps, incremental revision pointers, embedded scripts or attachments, whether a digital signature is present, and a SHA-256 fingerprint of the exact file you reviewed. It flags general-purpose editing software by name when the file names it — Canva, Photoshop, Illustrator, GIMP, Figma, Affinity, and LibreOffice Draw are the markers it looks for — and it matches Producer and Creator metadata against a published list of document-generator signatures. For images it reports EXIF presence or absence, pixel dimensions, and the same fingerprint. Every observation ships with the ordinary explanations that could produce it.
The arithmetic is the other half, and it is the half that most often produces a real question. The scanner reconciles the figures you type from the document: gross pay minus deductions against the printed net pay, and opening balance plus credits minus debits against the printed closing balance. The cross-document panel compares a stated net pay and pay date against the matching bank deposit. None of that requires the file to be machine-readable, and none of it leaves your device.
A workflow you can actually keep
Process beats tooling at this size. Six steps, applied the same way every time, is more defensible than any single check.
- Ask for the file the applicant downloaded from the bank or payroll portal, not a screenshot or a re-scan.
- Run the free browser scan on each document and read the observations, not just the priority number.
- Recompute the arithmetic the document prints: gross minus deductions against net, opening plus credits minus debits against closing.
- Compare the paystub net pay and pay date against the matching bank deposit.
- Write down what you observed, in factual language, separately from any conclusion.
- Decide escalation by the same written rule for every applicant, and record that you applied it.
If a specific file still deserves more, AI Deep Review is $5 for one document, with Deep Review+ at $10 adding a corroboration appendix for the employer, bank, or payroll provider the document names. There are packs — $19 and $69 for five and twenty-five standard reviews, $39 and $139 for the Deep Review+ equivalents — and there is no subscription and no minimum. You can screen for a year and spend nothing.
What Ocolta does not do, stated plainly
This matters more than the feature list, because it is where the enterprise category and this one genuinely diverge. If you need any of the following, a per-document check is not a substitute and you should buy the thing that does it:
- Ocolta is not a tenant screening service. It does not touch credit reports, eviction records, criminal history, or rental history.
- Ocolta is not a consumer reporting agency and does not produce consumer reports.
- Ocolta does not make or support adverse-action decisions, and it does not supply adverse-action reasons.
- Ocolta does not return a fraud verdict. It reports observations and a review priority, and review priority is not fraud probability.
- Ocolta does not verify identity, account ownership, employment, income, or issuer records. Those are source-verification questions and they are answered outside the file.
- Ocolta has no built-in leasing-system integration and does not receive documents automatically. A scoped paid-review API requires an explicit connection, document consent and a credit limit; it does not make screening decisions.
A reviewer who wants one vendor to both check the document and run the background report is describing the enterprise product, correctly. A reviewer who wants to know whether the PDF in their inbox came out of a bank is describing this one.
When the file has said all it can
File review is triage. It narrows the question; it does not close it. When a material question survives the checks above, the next move is to ask for evidence the applicant does not author — a fresh download from the institution’s own portal, a consumer-permissioned account connection, or authorized verification with the employer using contact details you looked up independently. The escalation ladder covers the order to ask in. Never request account credentials or live account access.
Ocolta reports supported file observations and arithmetic relationships. It does not prove a document authentic or fraudulent, does not confirm identity, account ownership, employment, or issuer records, and does not return a fraud verdict. Review priority is not fraud probability. Ocolta supports document review; it is not an automatic approval, denial, tenant-screening, or adverse-action system. Apply a written policy with the same criteria to every applicant, keep “unable to determine” available as an outcome, and obtain legal review before a document finding contributes to an adverse decision.