Tamperlens and Snappt

These two products overlap on exactly one question. Was this document edited, and diverge on everything around it. Snappt is an applicant screening platform for multifamily property management, bought through a sales process. Tamperlens is a document check you can run now.

How to read this page

Every fact about Snappt below carries the date it was read and names the page it came from: their home page, their pricing page and their product and integration pages, all read 2026-08-13.

Snappt publishes a headline accuracy figure and we do not. Their document fraud detection page is titled "99.8% Accurate"; no methodology, no definition of accurate and no false-positive rate is published alongside it (read 2026-08-13). We publish no detection rate at all, because we have not measured one honestly. Our published number is a false-positive rate, at /evidence. Keep both facts in view while reading the table.

Side by side

  Tamperlens Snappt Stronger
Published prices Free 50 a month; Solo $39 for 1,000; Team $199 for 10,000; Business $749 for 50,000; credit packs from $25 for 500 (/pricing). None. The pricing page is three bundles: "Legacy", "Professional", "Enterprise", and every one of them ends in "Talk to Us" (their pricing page, read 2026-08-13). Tamperlens
Self-serve path An API key with 50 free documents a month, and a free web checker with no signup at all. None found: no self-serve signup, no trial, no free checker anywhere on their site (read 2026-08-13). Tamperlens
Price per document $39 for 1,000 documents on Solo is $0.039 each. No published price (read 2026-08-13).
Who it is built for Anyone with a document to doubt. Multifamily property management: "Applicant Trust Platform" positioning, customer logos including Greystar and AvalonBay (their home page, read 2026-08-13).
Scope Structural signals on the file itself: 18 signal families on any PDF, plus image and Office engines. Nothing about the person is verified. Income, identity and rental-history verification with document fraud detection; document types include bank statements, pay stubs, utility bills and tax transcripts (their product pages, read 2026-08-13). Snappt
Property-software integrations None. Our integration surface is an OpenAPI spec, an MCP server and an n8n community node. Entrata, RealPage, Inhabit, ResMan, Yardi (their integration pages, read 2026-08-13). Snappt
Human review None. The report is the product. A "Fraud Analyst Review" layer exists on top of the automated result (their site, read 2026-08-13). Snappt
Delivery Synchronous API: the report is the response to the upload, plus a free checker in the browser. A dashboard workflow: results "within minutes", "rulings" in ten minutes or less (their site, read 2026-08-13).
Accuracy claims published No detection rate. A false-positive rate is published at /evidence with its population and date. A page titled "Document Fraud Detection Software: 99.8% Accurate", "10,000+ document features", a "database of 2,000+ financial institutions": with no methodology, no definition of accurate and no false-positive rate published (read 2026-08-13).
False-positive rate published Yes, at /evidence. None published (read 2026-08-13). Tamperlens
Certifications None: no SOC 2, no ISO 27001, disclosed plainly at /security. SOC 2 Type II (their site, read 2026-08-13). Snappt
Can a small landlord buy it today? Yes: the free checker now, or an API key with 50 free documents a month. Cannot be established from outside. No minimum is published, and there is no path onto the product that avoids the sales call (read 2026-08-13). Tamperlens

Where the two products meet

Snappt covers a screening workflow. Tamperlens covers one box inside it, and nothing on either side of that box.
AN APPLICANT SCREENING WORKFLOW application arrives identity income rental history was the file edited? ruling, then back into the PMS Snappt: the whole row Tamperlens: this box only Everything to the left and right of the shaded box is work we do not do, at any price.

Stages drawn from Snappt's own product and integration pages (income, identity and rental-history verification; Entrata, RealPage, Inhabit, ResMan, Yardi; a Fraud Analyst Review layer), read 2026-08-13. The drawing shows scope, not quality, nothing here says who is better at the shaded box.

A single accuracy percentage mixes all four of these cells together, so it cannot tell you the one that sets your review workload.
the system flagged it the system stayed quiet really was edited really was not edited caught the detection rate lives here missed nobody publishes this either false positive a genuine applicant, held up correctly cleared The shaded cell is the number that decides how much manual review a detector costs you. Snappt does not publish it. Nor do we publish the top row: our recall is unmeasured.

The four cells are the definition of a confusion matrix, not a measurement of either product. Snappt's document fraud detection page is titled "99.8% Accurate" with no methodology, no definition of accurate and no false-positive rate alongside it (read 2026-08-13). Our own false-positive rate, with its population and date, is at /evidence; we publish nothing for the top row.

Their own training-corpus size, on two of their own pages

Two figures for the same thing are published at once, and a reader comparing products should know which one they are being quoted:

  • 16+ million: "trained on 16+ million documents" on their document fraud detection page (read 2026-08-13).
  • over 19 million: "trained on over 19 million documents" on their "Why Snappt" page (read 2026-08-13).

We draw no conclusion from the gap: corpora grow, and pages go stale at different speeds. We note it because a corpus size is the kind of figure a comparison gets quoted on, and because we would want the same noted about us. For what it is worth, the size of a training set says how much a model has seen, not how often its answer is right.

Where Snappt is the better answer

  • You run a multifamily portfolio. If your applicants already flow through Entrata, RealPage, Inhabit, ResMan or Yardi, Snappt plugs into the workflow you have. We do not.
  • You want a human ruling, not a signal report. Their "Fraud Analyst Review" layer puts a person behind the result. Nobody reviews a Tamperlens report but you.
  • You need more than the document. Income, identity and rental-history verification are the platform; the document check is one part of it. We only ever look at the file.
  • Your procurement asks for SOC 2. They hold a SOC 2 Type II attestation and we hold no certification at all.
  • Scale is the reassurance you need. They state "over 2.5 million units" protected (their home page, read 2026-08-13). We are a solo-operated product and say so.

Where Tamperlens is the better answer

  • You are not a multifamily operator. Snappt's platform, integrations and logos all point at one vertical. A small landlord, an imobiliária, a lender or a marketplace that wants to check one suspicious PDF today has no published path there, no price, no signup, no checker. That buyer is who this page is for.
  • You want a price you can read. Every plan and the per-document arithmetic are on /pricing, in USD and in reais.
  • You want one answer now. The free checker takes a file with no signup; an API key comes with 50 free documents a month. No call.
  • You need the check inside CI. The engine is deterministic, the same bytes produce the same report, so a result can be regression-tested like any other build artifact.
  • You want the error rate before you buy. Our false-positive rate is published at /evidence with the population and date it was measured on.
  • The file must not linger. Documents are uploaded directly, parsed in memory and never written to disk.
  • Your documents are not applicant documents. Any PDF, image or Office file goes through the same endpoint, including redaction recovery by paint order and document-borne prompt-injection signals.
  • Brazil. CPF, CNPJ and boleto identifiers checked by arithmetic on the check digits, with prices quoted in BRL.

What we cannot do

  • No applicant workflow. There is no screening dashboard for a leasing team and no concept of an applicant: only documents.
  • No property-management integrations. Nothing for Yardi, RealPage, Entrata or any PMS.
  • No income, identity or rental-history verification. We never verify the person, only the file.
  • No human review service.
  • No SOC 2 or ISO 27001, disclosed at /security.
  • Recall is unmeasured. We know how often we flag genuine documents; we do not know how often we catch real tampering.
  • One region. Hosting is EU-only, and this is a solo-operated product.

The number a buyer actually needs

A headline accuracy with no definition behind it does not tell a leasing team the thing that sets their workload: how often a genuine applicant's documents get flagged. That number is the false-positive rate, and Snappt does not publish one (read 2026-08-13). Neither does almost anyone in this market.

Ours is at /evidence, with the population it was measured on, the date, and the engine version that produced it. The other comparisons are at /alternatives.

Read a report before you believe a comparison

Open the “Edited after creation” sample: a precomputed report on a document whose printed total was lowered by a second revision appended after creation. No account, no upload, no quota, and nothing on this page has to be taken on trust to look at it.

Tamperlens reports risk signals, not authenticity verdicts. Signals can have benign causes; combine them with your own decision logic.