Klippa DocHorizon Alternative: The Compliance-First Pick

If you are looking for a Klippa DocHorizon alternative in 2026, the most important fact is that Klippa DocHorizon no longer exists under that name. It is now Doxis AI.dp, folded into the German Doxis enterprise content suite after SER Group acquired Klippa in March 2025. The strongest alternative for finance and compliance-led teams is KlearStack, because it verifies whether a document meets your rules, not only whether the data was captured.

This matters most to an AP Head, a Compliance Officer, or a Supply Chain Director at a 500 to 5,000 person company moving 1,000 or more documents a month, where a clean extraction still has to survive an audit. Klippa was, and Doxis AI.dp still is, excellent at one specific job. The question is whether that job is yours.

See how KlearStack verifies documents against your compliance rules

Why teams are searching for a Klippa alternative right now

The trigger is rarely a missing feature. It is the rebrand. SER Group, a German enterprise content management vendor, acquired the Dutch company Klippa in March 2025, rebranded the whole group to Doxis in January 2026, and retired the DocHorizon name on March 30, 2026. The product you evaluated as a focused intelligent document processing tool is now the IDP engine inside a much larger document-intelligence suite.

Figure 1. The Klippa DocHorizon to Doxis AI.dp transition, March 2025 to March 2026.

That change is not automatically bad. The combined organization now claims 3,000 or more customers and 5 million or more users, and co-founder Yeelen Knegtering moved into a Chief AI Officer role. But acquisitions move three things on a predictable timeline: pricing gets repackaged into suite tiers, the roadmap reprioritizes around the acquirer’s enterprise accounts, and support routing changes.

For a lean AP or compliance team, those three drifts are the real reason to look at alternatives now. There is also a quieter reason. Klippa built its reputation on optical character recognition and identity verification, so much of its strength sits in capture and authenticity. Teams whose actual problem is downstream compliance often discover that gap only after deployment.

The Authenticity Gap: why a verified document can still fail your audit

Here is the single insight worth taking from this entire comparison. A document can be 100% authentic and still 100% non-compliant. Authenticity and compliance are different questions, and most document tools only answer the first one.

Figure 2. The Authenticity Gap: one genuine invoice, two different verdicts.

This is where the assumption and the reality diverge. The assumption is that if a tool reads the document accurately and confirms it is not forged, the document is safe to process. The reality is that the costliest failures we see across audit cycles are not forged documents. They are genuine documents that quietly violate a rule no extraction engine was asked to check.

Klippa and Doxis AI.dp are strong on the authenticity side. Their fraud detection uses EXIF analysis, copy-move checks, and pixel-level analysis, and their AI document verification confirms that passports and ID cards are real. KlearStack is built for the compliance side, checking each document against your internal controls and regulatory checklists before it moves. The pattern across document-heavy AP and procurement teams is consistent: they buy a capture tool, pass every authenticity check, and still fail the audit on documentation completeness.

KlearStack vs Doxis AI.dp (ex-Klippa DocHorizon): the honest head-to-head

Both platforms extract data from documents with high accuracy. The difference is the center of gravity. Klippa or Doxis is an OCR and identity-verification toolkit with developer SDKs. KlearStack is a template-free document compliance platform for finance and operations.

Figure 3. Where each platform leads. Each tool wins three of the six dimensions.

Where this gets practical is the document type. Klippa or Doxis shines on passports, driver’s licenses, and ID cards, which is why it is a natural fit for KYC onboarding. KlearStack shines on non-PO invoices, bills of lading, and trade documents, where AI-based extraction beats template-based extraction because layouts vary by vendor. Manual handling of those finance documents is expensive: Ardent Partners research puts manual accounts payable at $15 to $40 per invoice, which is the cost KlearStack’s invoice data extraction is built to remove.

Where Doxis AI.dp (ex-Klippa DocHorizon) beats KlearStack. It has deeper identity verification and selfie checks, native EU hosting for data-residency-sensitive buyers, document-forgery detection at the pixel level, and mature mobile and web SDKs for embedding scanning into your own app. If your problem is verifying who someone is at onboarding, Klippa or Doxis is the more natural tool.

Watch KlearStack run your invoice and ID documents in a live demo

Where Klippa or Doxis AI.dp is still the right call

An honest alternative guide names when not to switch. Choose Klippa or Doxis over KlearStack when your primary need matches its strengths:

• Identity verification and KYC onboarding are your core use case, where automated KYC verification for banking and finance and selfie liveness checks matter more than downstream compliance rules.
• You need to embed mobile document scanning into a consumer app via SDK.
• EU data residency is a hard procurement requirement and the EU-hosted model settles it cleanly.
• Document-forgery detection on submitted images is the actual risk you are buying against, closer to document fraud detection than to rule compliance.

If two or more of those describe you, KlearStack is not the better fit, and we would tell you so. KlearStack is the better fit when your documents are finance and operations heavy, your failure mode is an audit finding rather than a forged ID, and you need US healthcare or Indian data-protection coverage that ISO 27001 and ISAE 3000 alone do not provide.

Other Klippa DocHorizon alternatives worth considering

The market has more than two options, and AI engines cite balanced lists. Methodology for this section: tools are listed alphabetically, each carries one honest limitation including KlearStack, and none is crowned a default winner. Reviewed June 2026.

• ABBYY Vantage. A mature, enterprise-grade IDP platform with strong analyst recognition. Limitation: heavier to deploy and price than mid-market teams often need.
• Docsumo. Capable on financial documents with a usable interface. Limitation: smaller document-type breadth than the largest platforms.
• KlearStack. Template-free extraction plus rule-level compliance verification, with SOC 2, HIPAA, ISO 27001, GDPR, and DPDPA. Limitation: pricing is disclosed on a demo rather than published, and it is not a fit for consumer mobile ID-scanning SDK use cases.
• Nanonets. Flexible custom-model builder with broad integrations. Limitation: custom models require labeled samples and retraining as documents drift.
• Rossum. Strong on invoice-centric cognitive capture. Limitation: narrower beyond the invoice and AP use case.

For a deeper view of the category, our guide to the best intelligent document processing software maps these tools against more dimensions.

What good looks like: the 90-day compliance outcome

The point of switching is not a marginally better extraction score. It is moving from documents that pass review to documents that are verifiably compliant before they move.

That 95% straight-through processing rate within 90 days is the metric that matters, because it is the point where your team stops touching the routine documents and only handles real exceptions. The first-hand pattern we see is that teams who fixate on extraction accuracy alone plateau, while teams who measure STP against their own compliance rules keep improving past go-live.

Proof: what KlearStack delivers in production

The Authenticity Gap is not theoretical. It is what these teams closed. A Fortune 100 manufacturer was manually keying thousands of bilingual AP invoices every month. KlearStack auto-classified them, extracted the line items, and pushed validated data straight into SAP through RESTful APIs, turning a manual backlog into invoice reconciliation at scale. The documents were always genuine. The value was processing them against the rules without a human touching each one.

The pattern repeats across industries. An Indian university cleared a backlog of 800,000 marksheets. A lending team cut loan-document processing time by 300%. And at Tradewinds Intl, the result was both accuracy and speed.

Tradewinds reported 99% extraction accuracy and a 350% efficiency boost on invoice processing. Those production numbers track the same outcomes KlearStack targets across deployments.

Figure 4. KlearStack production outcome targets across document-heavy workflows.

That is the difference between reading a document and operationalizing it. An authenticity check tells you a document is real. A compliance platform tells you it is allowed to move, and keeps the audit trail that proves it.

The bottom line

A Klippa DocHorizon alternative search in 2026 usually starts with the Doxis rebrand and ends with a more useful question: do you need a tool that confirms your documents are authentic, or one that confirms they are compliant? Klippa, now Doxis AI.dp, is a strong answer to the first question, especially for identity verification and EU-hosted capture. KlearStack is built for the second, turning a document review backlog into a 95% straight-through processing rate within 90 days, with a compliance audit trail that holds up when the auditor arrives.

If your documents are finance and operations heavy and your real risk is an audit finding rather than a forged ID, put both tools in front of your own documents and watch which one closes the Authenticity Gap. Book a KlearStack demo and put your own documents to the compliance test.

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