Data Alchemy — Software IDP con AI
Comparison · Migration

ABBYY FlexiCapture alternative: migrating from traditional OCR to IDP

Updated September 2026

Using ABBYY FlexiCapture or another OCR-based capture system and considering replacing it? Data Alchemy reads documents with an LLM engine chosen for each document model and validates them against your ERP data before writing them. On this page you'll find what ABBYY offers according to its official pages, the difference between the two approaches and a 5-step path to migrate from OCR to IDP.

Information based on public data available on 25 September 2026, taken from the vendors' official pages listed below. Products and prices can change: always check on the vendor's website. Data Alchemy is an interested party in this comparison. To report a correction, write to us from the contact page.

Context

What ABBYY offers

ABBYY develops document capture technologies (OCR/ICR, classification, extraction) for enterprise companies and document capture projects. Its official pages present three products with different deployment options: ABBYY Vantage, in the cloud; ABBYY FlexiCapture, in the cloud or on-premise; ABBYY Document AI, running on the customer's infrastructure. Prices are not published: they are quoted.

For companies with structured document capture projects and on-premise requirements, ABBYY remains a sound choice. People looking for an ABBYY FlexiCapture alternative usually want to understand whether an LLM-based IDP, with validation against the ERP and integrations with Italian ERPs, fits their documents and systems better, and how to replace ABBYY without interrupting the flows already running.

Comparison table

ABBYY vs Data Alchemy: comparison table

The ABBYY entries reflect what is stated on the official pages consulted on 25 September 2026 (abbyy.com); where the source says nothing we write "not stated". The Data Alchemy entries reflect what is published on this website.

 Data AlchemyABBYY
Products and deploymentPlatform on Scaleway, primary site in Milan and a secondary European site. With Data Alchemy AI and the European providers, processing stays in Europe; with Claude and GPT, documents are processed by the respective providers under a DPAVantage in the cloud; FlexiCapture in the cloud or on-premise; Document AI on the customer's infrastructure
Pricing modelLicence (Basic, Business, Enterprise) plus pay-as-you-go credits: 1 credit = 1 document, whatever its number of pages; quote on requestPrice not published (on quote)
Extraction technologyOne engine per document model: Claude by default, GPT, Data Alchemy AI (the proprietary model, on its own servers and GPUs in Italy) or a compatible model through the European providers Scaleway and Regolo.ai.ABBYY technologies (OCR/ICR, classification, extraction)
Validation against the ERPYes: external fields and remote validation on ERP data (Business and Enterprise)Not stated on the pages consulted
Italian ERPsZucchetti and TeamSystem, plus SAP, Microsoft Dynamics 365 and Oracle NetSuite; native Salesforce with Order Dispatcher (Enterprise)Not stated on the pages consulted
Email handlingMail service installed at the customer's premises (on-premise): mailboxes and credentials stay in your infrastructure (Business and Enterprise)Not stated on the pages consulted
FatturaPAFatturaPA/SdI XML e-invoices, as well as delivery notes, orders, contracts and price lists.Not stated on the pages consulted.

Note: this comparison is written in good faith for informational purposes. ABBYY, Vantage and FlexiCapture are trademarks of their respective owners, used descriptively; always check current features and pricing on the vendor's website.

OCR and IDP

Template-based OCR or an LLM per document model: what changes

OCR turns the image of a document into text. To get the fields out, many traditional capture systems rely on templates, zones or rules defined for each layout, or on models trained on sample documents. It is a predictable, controllable approach that works well when layouts are stable and known in advance; when new suppliers or formats arrive, the configuration usually needs updating. This is a general description of capture technologies, not of the features of any specific product.

An LLM-based IDP starts from a description of the data to extract (header, line items, totals) and reads it from the document without per-layout templates. In Data Alchemy each document model has its own engine: Claude by default, GPT, Data Alchemy AI (the proprietary model, on its own servers and GPUs in Italy) or a compatible model through the European providers Scaleway and Regolo.ai. Control moves to validation: on Business and Enterprise, external fields and remote validation check extracted data against your ERP before it is written.

Matrix

ABBYY and Data Alchemy: the public data compared

The same matrix used across all comparison pages, fed by a single data file with a source and verification date for every entry.

SolutionTargetPricing modelPublic priceHosting and data residencyValidation against the ERPItalian ERPsEmail handlingAI engine
Data AlchemyCDBKR SrlItalian SMEs and companies: invoices, delivery notes, orders, contracts and price listsLicence (Basic, Business, Enterprise) plus pay-as-you-go credits: 1 credit = 1 document, whatever its number of pages; quote on requestNot publishedPlatform on Scaleway, primary site in Milan and a secondary European site. With Data Alchemy AI and the European providers, processing stays in Europe; with Claude and GPT, documents are processed by the respective providers under a DPAYes: external fields and remote validation on ERP data (Business and Enterprise)Zucchetti and TeamSystem, plus SAP, Microsoft Dynamics 365 and Oracle NetSuite; native Salesforce with Order Dispatcher (Enterprise)Mail service installed at the customer's premises (on-premise): mailboxes and credentials stay in your infrastructure (Business and Enterprise)One engine per document model: Claude (by default), GPT, Data Alchemy AI on its own servers and GPUs in Italy, or a compatible model through the European providers Scaleway and Regolo.ai
ABBYY (Vantage, FlexiCapture, Document AI)ABBYYAlternative pageEnterprise companies and document capture projectsPrice not published (on quote)Not publishedVantage in the cloud; FlexiCapture in the cloud or on-premise; Document AI on the customer's infrastructureNot stated on the pages consultedNot stated on the pages consultedNot stated on the pages consultedABBYY technologies (OCR/ICR, classification, extraction)

Information based on public data available on 25 September 2026, taken from the vendors' official pages listed below. Products and prices can change: always check on the vendor's website. Data Alchemy is an interested party in this comparison. To report a correction, write to us from the contact page.

Sources and verification date
  • ABBYY (Vantage, FlexiCapture, Document AI): abbyy.com/ — consulted on 25 September 2026
  • Data Alchemy: information published on this website.
Migration

Migrating from ABBYY (or another OCR) to Data Alchemy in 5 steps

1. Inventory of document models

List the document types that go through your capture system today (invoices, delivery notes, orders, contracts, price lists), with volumes, average page count and the checks in use. Each type becomes a document model in Data Alchemy.

2. Sample documents

For each model, gather a set of real documents, including the hard cases: new suppliers, poor-quality scans, long multi-page documents. They are used to check extraction and compare it with your current results.

3. Field mapping and validation

Map the fields you extract today (header and line items) to the model's schema, choose the engine for each model and turn your checks into validations: on Business and Enterprise, external fields and remote validation against ERP data.

4. Parallel run

Run both systems on the same documents for a defined period and compare the results field by field. Adjust schema and validations until the results are what you expect.

5. Switch-over

Move the flows to Data Alchemy one model at a time, via API or with the mail service installed at your premises, and turn on writing to the ERP. The previous system stays available as long as you need it for documents already processed.

Honest take

When ABBYY is a good choice and when Data Alchemy is

Data Alchemy fits if…

  • →You receive documents from many suppliers or customers with different layouts and want a single document model per document type, with no per-layout templates.
  • →You want to validate data against Zucchetti, TeamSystem, SAP, Microsoft Dynamics 365 or Oracle NetSuite before writing it.
  • →You process multi-page documents and prefer to pay per document.
  • →You want to choose the AI engine for each document model, including Data Alchemy AI on its own servers and GPUs in Italy.
  • →You receive FatturaPA e-invoices and prefer a vendor based in Bologna with Italian-language support.

ABBYY is a good choice if…

  • →You have structured document capture projects and on-premise requirements.
  • →You need FlexiCapture on-premise or Document AI on your own infrastructure.
  • →You want an enterprise vendor specialised in capture technologies (OCR/ICR, classification, extraction).
  • →You already have an ABBYY project configured and stable on your documents, and your layouts rarely change.

Replacing a capture system that works only makes sense if it brings a concrete benefit on your documents. The most reliable way to find out is the parallel run described above.

Key differences

Why consider Data Alchemy as an ABBYY alternative

No per-layout templates

Each document model describes the data to extract and the engine reads it even from suppliers with different layouts, without defining zones or templates for each one.

One engine per document model

Choose the engine for each document model: Claude by default, GPT, Data Alchemy AI (the proprietary model, on its own servers and GPUs in Italy) or a compatible model through the European providers Scaleway and Regolo.ai. 99.8% accuracy (measured with Claude; no figure is published for the other engines).

Validation against your ERP data

On Business and Enterprise, external fields and remote validation check extracted data against your ERP before it is written.

Italian ERPs

Integrations with Zucchetti and TeamSystem as well as SAP, Microsoft Dynamics 365 and Oracle NetSuite, through the AI agent or Data Alchemy's REST API and webhooks; with the Enterprise licence, Order Dispatcher and native Salesforce integration.

1 credit = 1 document

Licence (Basic, Business or Enterprise) plus pay-as-you-go credits: 1 credit equals 1 document, whatever its number of pages. Quote on request.

EU hosting and a mail service at your premises

Platform on Scaleway, primary site in Milan and a secondary European site: EU hosting, GDPR compliant. With Data Alchemy AI and the European providers, processing stays in Europe; with Claude and GPT, documents are processed by the respective providers under a DPA. On Business and Enterprise the mail service is installed inside your infrastructure.

FAQ

Frequently asked questions about replacing ABBYY

What is an alternative to ABBYY FlexiCapture?

It depends on what you need. If you need on-premise capture for a structured project, ABBYY remains a sound choice. If you want an IDP that reads documents with an LLM per document model, validates them against your ERP data and integrates with Zucchetti, TeamSystem, SAP, Microsoft Dynamics 365 and Oracle NetSuite, Data Alchemy is an alternative worth testing on your documents.

How do I replace ABBYY without stopping my flows?

With a parallel run: inventory of document models, sample documents, mapping of fields and validations, then both systems work on the same documents until you're satisfied with the results. The switch-over happens one document model at a time.

What does migrating from OCR to IDP change?

OCR returns text; many traditional capture systems get the fields out with templates, zones or per-layout rules. An LLM-based IDP reads the data required by the document model without per-layout templates and checks it with validations against the ERP. The migration moves the work from maintaining layouts to defining fields and checks.

Can ABBYY be installed on-premise? And Data Alchemy?

According to ABBYY's official pages, FlexiCapture is available in the cloud or on-premise and Document AI runs on the customer's infrastructure; Vantage is in the cloud. Data Alchemy runs on Scaleway (primary site in Milan and a secondary European site); on-premise, on Business and Enterprise, we install the mail service. With Data Alchemy AI and the European providers, processing stays in Europe; with Claude and GPT, documents are processed by the respective providers under a DPA.

How much does ABBYY cost compared with Data Alchemy?

ABBYY does not publish prices on the pages consulted: pricing is on quote. Data Alchemy is also quoted: a Basic, Business or Enterprise licence plus pay-as-you-go credits, where 1 credit equals 1 document whatever its number of pages.

Can I try Data Alchemy before migrating?

Yes. The Demo Area, free and with 10 documents, is available soon: pick a predefined model and watch the AI read your own documents. For a trial on your document models and your ERP, contact us to plan a call with a demo on your own documents.

Honesty

When Data Alchemy isn't the right fit

There are cases where you're better off staying put or choosing another solution.

Full on-premise platform

If you must install the whole platform on-premise, or process in an Italian data centre with an engine other than Data Alchemy AI, Data Alchemy isn't for you: on-premise we install the mail service, not the whole platform.

API only, lots of single-page documents

If a development team processes very high volumes of single-page documents through an API only, a per-page API costs less per document. See the extraction API comparison.

You only need a document archive

If you're looking for a DMS with workflows and no data extraction, a document management platform is a better fit: see the DocuWare comparison.

You want to build the pipeline yourself

If your team wants to choose, host and orchestrate the models itself, an API or a developer framework gives you more control than a ready-made platform.

Test Data Alchemy on the documents that go through your OCR today

Bring us a few sample documents for each model: we'll plan a call with a demo on your own documents, show you extraction and validation against your ERP and help you set up the parallel run.