Can you import our FlexiCapture document definitions?

Not today. Field sets, zones and validations are rebuilt here — the same work the Vantage path asks of you. What shortens it is blueprint provisioning and model-assisted template authoring: drop in a sample page, get a draft template with zones and data types, correct it, train it.

Is Tesseract going to lose against the ABBYY engine?

On degraded scans and dense forms, yes, measurably. That is why the hybrid path exists: Tesseract first, low-confidence words or pages re-read by a vision model. Settle it with a bake-off on your own documents — we publish the fields we lose.

We run ICR-heavy forms. Should we switch?

Probably not on that use case alone. Handwriting runs through the model path here, which carries a cost per page and a latency the traditional engines do not. We price it honestly rather than pretending the gap is closed.

Vantage has pre-trained skills. What do we get on day one?

A blueprint — finance, accounts payable, insurance, KYC, anti-money-laundering or supply chain — that provisions the project, workflow, routing, upload endpoint, export goal and a full field set in one action. That is a pre-authored field set, not a pre-trained model: you still author the template, with a model drafting it from a sample page. We would rather state that plainly than lose the pilot.

Can we run entirely offline?

Yes. Tesseract for text and a local GGUF vision model through a managed llama-server cover recognition with no outbound network. Vantage cannot run offline.

How does the cost curve actually compare?

Below roughly 100–150k pages a year, a metered platform is often cheaper than running infrastructure — we say so. Above it the gap widens every year, and for a service provider with twenty clients on one install it is not close.

Can you match its pages per hour?

Not as a blanket claim. Throughput here scales by adding nodes that declare the workflow duty, and the honest answer for any given box is a benchmark on your hardware and your paper. We run it before quoting volume.

Is your PDF/A really PDF/A?

The renditions assert PDF/A-2b with an sRGB output intent and PDF/A identification in XMP, built with PDFBox from stored page images and persisted word geometry. Archive buyers audit that claim, and we encourage validating a sample set with veraPDF as part of acceptance.

We already run TotalAgility for process automation. Why change capture?

You may not need to. The strongest shape is often capture here, feeding your existing orchestration through REST, JDBC, message bus or file drop — you keep the process estate and stop paying capture volume fees.

Does anything replace VRS?

The pre-processing chain covers deskew, despeckle, binarize, crop, line and punch-hole removal and colour dropout, ordered per project. VRS remains the benchmark on hostile paper; on ordinary departmental scanning the difference rarely survives a bake-off.

We are happy with ChronoScan. When should we move?

When a second operator, a second client, an audit requirement or a compliance question arrives. Those are the four triggers we see — not features.

Is this overkill for one mailroom?

Possibly, and we will say so on the call. A single-machine install runs fine here, but if you will never need users, tenants, workflow or audit, the cheaper tool is the right tool.

Why would we leave a platform that works?

Usually one of three reasons: the renewal, a tenancy requirement Transact cannot meet, or a mandate to run models locally. If none of those apply, staying is a defensible answer and we will say so.

Our developers say they can wire this up in a sprint.

The recognition call, yes. The forty-odd capabilities around it — batch assembly, separator handling, template versioning, validation rules, an operator review UI, retries, retention, audit, tenant isolation, export mapping — are the sprint that never ends. Ask what happens when the person who wrote it leaves.

Can we use Textract as an engine here?

Recognition is pluggable and the plugin SDK exists for exactly this. Most teams end up local for volume and remote for the hard pages.

So you will not quote against ReadSoft for AP?

Not on SAP-native accounts payable with live master-data matching. We will quote for the other 70% of the documents in the building, and we will say the same thing on the first call as on the last.

Alternatives · Template-free IDP

The Rossum alternative for documents that are not invoices.

Rossum is the sharpest counter-argument to template-based capture: nothing drawn, nothing trained by hand, and a model that reads layouts it has never seen. On invoices and purchase orders that is a different product philosophy, not a feature gap. It is also cloud-only, per-document, and opaque when you need to explain why a field came out the way it did.

See the hubs Compare the run rate Quote a bake-off

The honest read

They win

Zero-configuration accuracy on transactional documents
Line items without a drawn table, and continuous learning from corrections
A validation screen built for one job and polished for it

We win

Everything that is not a transactional document: forms, IDs, contracts, claims, dossiers
Self-hosting and offline models — no document leaves the estate
No per-document meter; volume changes your hardware, not your contract
Deterministic extraction you can pin, audit and explain to a regulator
Multi-tenancy, workflow, scripting and export as part of the platform

Where we lead

Buyers who need auditable, deterministic extraction they can reason about — or whose documents are forms, IDs and contracts rather than invoices.

KognitCapture vs Rossum, side by side

Capability	KognitCapture	Rossum
Deployment	Self-hosted, cloud or air-gapped	Cloud; single-tenant available as an option
Extraction	Zones, label search, regex, datasets, scripts — plus model paths	Aurora model, template-free
Document scope	Any document type you can define	Transactional documents, deepest on invoices
Explainability	Method and confidence recorded per field; behaviour pinned by configuration	Model output with a correction loop
Intake	13 sources: scan, mail, folders, S/FTP, REST, buses, e-invoice	Mailbox and API
Pricing	Flat licence	From ≈ $18,000 a year, per document

What each one costs to run

	KognitCapture	Rossum
Licence shape	Flat platform licence, unlimited pages	Annual subscription by volume
Typical annual outlay	Infrastructure + your team	From ≈ $18k a year
Marginal cost per page	$0 local · tokens only if you choose remote	Per document
Who runs it	You do, on your own hardware	Vendor-managed

Figures for Rossum are published list bands and analyst-reported contract benchmarks checked in August 2026 — not quotes, and not vendor-confirmed. Your negotiated price will differ.

Switching

The usual outcome is not replacement but division of labour: Rossum-style model extraction on invoices, deterministic capture here for every other document class — under one workflow, one audit trail and one export layer.

Read the migration brief →

Questions buyers ask us about Rossum

Do we have to draw a template for every supplier?

No. A template carries alternatives for layouts that differ, label search finds fields that move, and the model paths read documents you have not templated at all. Where a template does earn its keep is auditability: the same input produces the same output, and the field says which method produced it.

Can you learn from corrections the way Rossum does?

Templates train from operator corrections, and the verification hub's word-group mode applies one correction everywhere the same misread text appears. It is a different mechanism from a continuously retrained global model, and it stays inside your tenant.

Next step

Send 200 pages. Get a field-level accuracy report.

Including the fields we lose on. That is the only comparison worth having against a two-decade incumbent.

A bake-off is a paid engagement at our standard consulting rate, scoped and quoted before it starts and running one to two days, two at most — not a free trial. The report is yours whichever way it lands.

Ask for a bake-off quote

Compare against something else

ABBYY FlexiCapture ABBYY Vantage FineReader Server Kofax / Tungsten ChronoScan Ephesoft Transact Amazon Textract ReadSoft