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.

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.

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 · SMB capture

The ChronoScan alternative for the day one machine stops being enough.

ChronoScan is genuinely good value and we will not pretend otherwise: zonal OCR, barcodes, hot folders, ODBC round-trips and AI extraction with your own API key, for a perpetual licence that starts around €245. What it is not is a multi-user server platform — and that is usually what breaks first.

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

The honest read

They win

Near-zero cost and a trivial single-machine setup
Searchable PDF output and ODBC round-trip validation
Zonal, dual-engine OCR with per-zone image tuning

We win

A multi-user server architecture with roles, audit and RBAC
Tenancy — separate clients, separate storage, separate retention
A workflow engine, REST API, clustering and browser hubs
E-invoice intake and mapped XML export without bolt-ons
Recognition cost accounting: tokens and spend logged per tenant, not just borrowed keys

Where we lead

The customer who has outgrown a desktop tool and refuses ABBYY pricing. That gap is where this platform sits most comfortably.

KognitCapture vs ChronoScan, side by side

Capability	KognitCapture	ChronoScan
Architecture	Server platform, clustered, browser hubs	Windows desktop / server application
Users	Roles, RBAC, audit trail per action	Per-workstation licences
Tenancy	Native, down to storage prefix and retention	None
Automation	Workflow engine, scripting, plugin SDK, REST API	Hot folders, ODBC, scripting
AI extraction	13 providers plus local models, with cost accounting	Bring your own provider key
Licence	Flat, per deployment	Perpetual, per workstation / server, from ≈ €245

What each one costs to run

	KognitCapture	ChronoScan
Licence shape	Flat platform licence, unlimited pages	Perpetual, per workstation / server
Typical annual outlay	Infrastructure + your team	From ≈ €245
Marginal cost per page	$0 local · tokens only if you choose remote	$0 (your own AI keys)
Who runs it	You do, on your own hardware	Light, single machine

Figures for ChronoScan 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

Nothing to unpick: hot-folder and ODBC integrations map onto import profiles and JDBC connections, and the zonal work you have already done translates directly into template zones.

Read the migration brief →

Questions buyers ask us about ChronoScan

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.

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 Rossum Ephesoft Transact Amazon Textract ReadSoft