Densery

Comparison

Densery vs ABBYY

ABBYY has been named a Leader in the Everest Group IDP PEAK Matrix for eight consecutive years, and their multilingual and handwriting coverage is the deepest in the market. They are on almost every shortlist by default. We are arguing about a different layer of the stack, not about who reads a page better.

Work out your own number See the evidence layer
ABBYY
Three decades of document AI
COMPARED ON
Densery
An ontology and an evidence layer
 ABBYYDensery
Reading the pageThirty years of OCR intellectual property. Exceptional on handwriting, mixed scripts and degraded scans. Genuinely best-in-class.We buy this layer rather than build it, including from vendors like ABBYY and from open-weight models. We treat it as a commodity and price it as one.
What sits above extractionProcess intelligence and workflow tooling, plus a large partner and integrator ecosystem to assemble the rest.A typed ontology of your institution's concepts — counterparty, beneficial owner, claim, lien, member mark — with the constraints between them. It is why two banks with identical documents get different answers.
Completion into the system of recordAchievable, usually through an integrator or your own team building the last mile.The product. Written back through your APIs under your service accounts, with approval gates wherever policy requires a signature.
Evidence for an examinerProcessing and audit logs, plus the governance your integrator builds around it.Per-decision provenance produced as a by-product of the work, exportable as a signed record with model and ontology versions pinned.
Analyst positionEverest Group PEAK Matrix Leader, eight consecutive years. Shortlisted automatically at most enterprises.No analyst placement at all. If your process requires one, we will not clear your first gate.
DeploymentOn-premise, cloud and hybrid, with a long enterprise track record in each.On-premise on a GPU appliance, private cloud in your tenant, or hosted. On-premise is the configuration people call us about.
Where the money goesLicence tied substantially to document and page volume.Per completed file, so what you pay tracks work finished rather than paper consumed.

Statements about ABBYY are drawn from their public website and published materials as at 15 August 2026 and are our reading of them, not their words. Product capability changes; check anything here that matters to your decision, and tell us if we have it wrong.

When you should buy ABBYY.

Written straight, because you will find this out anyway and it costs us less to say it now.

  • The job genuinely is extraction — you need values off pages in twelve languages and you have somewhere good to put them.
  • Handwriting and degraded scans dominate your estate and accuracy at the character level is the binding constraint.
  • Your procurement requires an analyst-recognised leader on the shortlist. We will not pass that filter.
  • You have a capable integrator or internal team who will happily build the workflow and evidence layer around a strong engine.
  • You need coverage across many industries at once rather than depth in one.

When Densery is the better answer.

Narrower than the list on the left, deliberately.

  • You already have good extraction and the work still is not finished — the saving leaked at the handover between tools.
  • You need the decision defensible, not just the value correct, and assembling evidence from four systems has already failed once.
  • You do not have an integrator budget and do not want the deliverable to be a capability your team must complete.
  • Your data cannot leave the building and the governance stack has to run intact inside that constraint.
  • You would rather pay for completed files than for pages, because your page count is going up and your file count is not.
The honest verdict

ABBYY is better than us at reading a document, and we would rather say so than pretend the comparison is close. We buy that layer; competing with thirty years of OCR intellectual property would produce a worse product at a higher price.

The question is what you believe your problem is. If it is that the pages are hard to read, ABBYY is the stronger buy and the analyst incumbency is earned. If it is that reading the pages was never the bottleneck — that your people spend their day checking, cross-referencing, keying and writing up, and that proving the work was done correctly is itself a large manual cost — then extraction quality is not the variable that moves your outcome.

A reasonable and common answer is both: ABBYY underneath for the hardest pages, Densery above it for the ontology, the completion and the evidence. We are not structurally opposed to that architecture. We have shipped it.

Two ways to test this without talking to us

Both are ungated and neither asks for an email. Run your own volume through the calculator, then open a real file in the audit-trail explorer and click the fields that failed.

Value calculator Audit-trail explorer

The next step

Ninety minutes, your documents, three numbers.

A scoping session is not a demo. Bring twenty real files, redacted if you need to. We take three numbers off you — annual volume, fully loaded cost per file today, and what happens when the output is wrong — and hand back a one-page value case in your own KPIs.

If the arithmetic says we are not a fit, we will tell you in the room rather than six weeks later.

Book a scoping session Work out the number first
QUALIFY YOURSELF OUT

We are a fit if all three are true

  • More than 250,000 pages a year, or 25,000 claims or files
  • A legal obligation — regulator, board risk committee or parent-company policy — to keep the data in-house
  • An AI or agent pilot that did not reach production

If your data can go anywhere and your documents are already clean and digital, you do not need us. Use a hyperscaler document API and spend the money on something harder.