Looking for a Bynn alternative? – Structural PDF forensics with transparent markers
Risk-ops and fraud teams evaluating Bynn for document fraud detection have a focused need: catch forged or edited PDFs before they enter the workflow. HTPBE? solves that need at the file layer with named structural markers, public pricing, and a self-serve API – it reports which structural markers fired and a deterministic verdict, so a reviewer can see exactly what was flagged and act on it.
HTPBE? analyzes the structural layer of the PDF file – producer, xref, metadata, image streams, signatures. We don’t do identity-document biometrics or photo-ID matching. Bynn covers a broader document-and-identity proofing scope; this page describes how HTPBE? fits the structural document-fraud layer specifically.
What this looks like
Why teams pick HTPBE? for the structural-forensics layer
Three real fraud mechanics we catch at the structural PDF layer.
Named markers, not a black-box score
HTPBE? returns INTACT, MODIFIED, or INCONCLUSIVE with explicit named markers (xref count, producer signature, signature state, image-stream artefacts). Your fraud-ops or underwriting logic interprets the markers in context – no opaque numerical score to defend.
Self-serve, public pricing
See public pricing for exact quotas by tier. Sign up, get an API key, ship the integration the same day. No sales call, no procurement.
Structural-only depth
We don’t spread across OCR, identity biometrics, transaction analytics, AML. We focus on one thing: did this PDF get modified or fabricated after issuance? HTPBE? inspects incremental update history, font subset divergence, residual prior-generator traces, hybrid raster-and-programmatic content, and page-assembly patterns to answer it.
How HTPBE? is positioned
When HTPBE makes sense (and when Bynn might fit you better)
Want focused structural depth? HTPBE?. Want broader doc + identity scope? Look at both.
Honest sizing: pick the tool whose feature scope and depth match yours.
HTPBE? is built for risk-ops teams that want structural document-fraud forensics as their focused layer – named markers, multiple detection layers, transparent pricing. If your team needs document fraud detection bundled with identity-document biometrics, photo matching, or broader KYC scope, Bynn and similar platforms have that broader scope – that’s a fair reason to evaluate them. If structural document fraud is your focused need, HTPBE? is positioned for that.
Comparison
Why teams pick HTPBE?
A focused structural tamper-detection API versus a platform spanning identity and documents – add only the layer you are missing.
| Feature | HTPBE? | Identity + document platforms (e.g. Bynn) |
|---|---|---|
| Deployment model | Self-serve REST API – sign up, get a key, ship today | Self-serve dashboard and API, alongside sales-assisted onboarding for larger plans |
| Pricing | Public, no monthly minimum – listed on /pricing | Public per-check pricing with monthly minimums from $99 to $599 by tier |
| Onboarding | No sales call, no monthly minimum – free test keys on every plan | Self-serve trial available; paid tiers carry a monthly minimum commitment |
| Scope | Structural PDF document forensics | Document fraud plus identity biometrics and photo-ID matching |
| What it answers | Was this PDF edited or fabricated? – named markers plus a verdict | Broad document-and-identity proofing coverage |
| Best fit | Teams that need the structural document-fraud layer specifically | Teams needing bundled identity + document proofing |
Document types
PDFs we analyze structurally
Every type listed below is analyzed at the structural file layer – not the rendered image.
What HTPBE? checks
Detection capabilities
Deterministic structural signals. No probabilistic scores, no model training.
Producer signature analysis
Authentic documents come from institutional sources. When the producer field shows a desktop tool or generator-tool fingerprint, HTPBE? flags it. The verdict is interpretable, not a black-box score.
Incremental update detection
Edits to a real PDF leave incremental update markers in the xref chain. HTPBE? flags these as MODIFIED at high confidence – visible structural evidence of post-issuance editing.
Character overlay on the original
Changing a balance or a transaction row is usually done by stamping replacement characters over the original rather than rebuilding the statement. The overlay leaves a structural trace of its own. HTPBE? flags it without reading the figures – it never looks at the numbers on the page.
Signature tamper detection
Tax forms, employer letters, and government PDFs are sometimes digitally signed. HTPBE? detects edits made after a document was signed and flags signatures that were removed, both surfaced as MODIFIED at certain confidence.
Image-stream artefact detection
Lifted-and-pasted logos, signatures, and headers leave compression and object-structure artefacts that differ from authentic embedded content.
Multi-layer forensic depth
Beyond the basics: font subset divergence (multi-session generation), residual prior-generator detection (traces of an earlier authoring tool in a document that declares a different origin), hybrid raster-and-programmatic content, page-assembly forensics (pages imported from different sources), template-forgery patterns. Findings surface as named markers in the response.
Share with engineering
Wire this into your intake pipeline in under a day
Two API calls – one POST to submit the PDF, one GET to retrieve the verdict. Forward this page to your engineering team; the full API reference, quotas, and copy-paste examples in cURL, JavaScript, Python, PHP, Go, and Ruby are one click away.
Pricing
Self-serve plans, no sales call
All plans include the same forensic checks. Pick the quota that matches your monthly document volume.
manualStarter
30 credits/mo
Manual spot-checks and integration testing
most commonGrowth
350 credits/mo
Active document processing pipelines
high volumePro
1,500 credits/mo
High-volume automation and API integrations
Enterprise (unlimited, on-premise available) — see full pricing
API key on signup. Free test environment on every plan. No card required.
Customer Stories
Teams that stopped document fraud
Compliance, finance, and risk teams use HTPBE? to catch manipulated PDFs before they become costly mistakes.
Caught an invoice where the total had been changed by less than a thousand dollars. Without this I would have approved it without a second look.
Sarah M.
AP Manager
United States
We had three applicants in the same week with bank statements that looked completely fine. Two of them were flagged as modified. You simply cannot see this by reading the document — it is in the file structure.
Lars V.
Risk Analyst, Online Lending
Netherlands
Salary slips were coming with altered figures. We identified two problematic files before the placement was finalised.
Priya K.
HR Operations Lead
India
Since we started checking documents this way, we stopped two applications early in the process that would have been very difficult to reverse later.
Julien R.
Fraud Analyst, Fintech
France
Some applicants were sending PDFs that looked authentic but had been edited in ways not visible to the eye. We now ask for checked originals when something is flagged. Already saved us from a few bad decisions.
Marta S.
Compliance Coordinator
Spain
One invoice was caught because there was a mismatch between the document dates and structure. That particular case would have cost us significantly.
Tariq A.
Finance Manager
United Arab Emirates
FAQ
Frequently asked questions
Is HTPBE? a direct feature replacement for Bynn?
How do you compare on price?
How does the named-markers approach differ from a single risk score?
Can we evaluate before committing?
Secure your workflow
Create your account – check PDFs on the web or with an API key, both ready on signup.
No sales call. Cancel any time.