01 / PRODUCT Documents for testing, AI & demos

The document stays.
The identity is replaced.

Turn invoices, medical letters, contracts, payslips and official notices into synthetic document twins. Personal fields are replaced; layout and task-relevant content are retained within the agreed scope.

Demo access on request. Designed for operation in the customer network. Document families and release criteria are assessed in the pilot.

SOURCESYNTHETIC TWIN
PERSONBIRTH_DATEEMAILTELEPHONE
PERSON
Erika Mustermann → Lena Hartmann
BIRTH_DATE
13.02.1974 → 04.07.1972
TELEPHONE
+49 30 12345678 → +49 33 21253320
Actual CoverTwin output from a fictional test document.
Crop of the existing product recording; no original customer data. Outlines explain the fields.

In the agreed on-premises deployment, documents remain in the customer network. The provided demo uses a separate hosting environment.

02 / CONTEXT

Test data that fits your processes.

Real customer documents contain sensitive information. Redaction alone changes the test case. CoverTwin combines replacement values with controlled output verification.

Test management

Realistic document layouts for meaningful test cases.

Exercise OCR, extraction and validation with familiar structures; make unwanted edits visible.

Data & AI

Evaluation and training preparation with clear approvals.

New fictional labelled text for initial model tests. Source-derived training export requires separate acceptance and is currently blocked.

Privacy & information security

Technical release rules for controlled output.

Residual-data checks, roles and traceable verification results support your assessment of permitted use.

03 / APPLICATIONS

Industries & use cases

Potential applications; document families and permitted use require pilot acceptance.

Insurance & health insurance
Prepare invoices, claims documents and correspondence for document testing.
Banking & financial services
Assess contracts, account and application documents as potential pilot test families.
Healthcare
Review medical letters and billing documents from clinics, laboratories and billing centres in a controlled workflow.
Public administration
Scope applications, official notices and evidence documents for migration, UAT and training.
Energy & telecommunications
Assess invoices, contracts and customer correspondence in existing extraction workflows.
HR & payroll
Prepare payslips and personnel documents with agreed replacement and release rules.
Law firms & legal
Preserve contract and case-file structures for testing; assess context and permitted sharing separately.
Software, IDP & input management vendors
Select document families for QA, evaluation and product demos and assess them in a pilot.
BPO & scanning services
Test scanning and processing workflows with realistic copies; include external recipients in release decisions.

Cross-industry use cases

Test data
QA, migration and UAT with realistic document structures.
Document AI
Training and evaluation preparation; source-derived training export only after separate acceptance.
Demos & sales
Document examples with fictional personal fields for agreed demonstrations.
External providers & offshore
Controlled sharing only with an agreed purpose, recipient controls and the required legal basis.
Training
Practise document workflows with approved test copies.

04 / PRODUCT VIEW

Two views of the pilot.

An entirely fictional test document and newly generated fictional development text. The static comparison shows actual CoverTwin output; the recording shows the separate development workflow.

Actual CoverTwin comparison using an entirely fictional test document
Document synthesis

Static comparison of an entirely fictional test document. Personal fields, including telephone, were replaced. The highlighted fields and source/output values can be inspected in the interactive comparison above.

Inspect highlighted fields
Fictional PII development data

Review newly generated fictional text and labels. The recording shows the development workflow; availability and approval form part of acceptance.

Video text description

The interface generates new fictional text for PII development. Entity spans and roles are highlighted in the preview. An authorised person reviews the examples and development dataset. No uploaded source documents are used for this dataset. The recording does not establish currently approved source-derived training export.

05 / PROCESS

From source to a reviewable test copy.

  1. Ingest

    Associate a PDF, scan, image or text with a job.

  2. Read

    Extract text or read it with local OCR.

  3. Identify

    Recognise personal fields in document context.

  4. Synthesise

    Replace recognised identifiers with consistent fictional values.

  5. Verify

    Read output again and check residual identifiers, readability and domain content.

  6. Deliver

    Release for the intended use only after technical checks pass.

06 / SECURITY

Security starts at the deployment boundary.

In the on-premises model, intake, processing and output stay inside your infrastructure. Network rules, identity, key management and monitoring are agreed before the pilot.

  1. 01Your DMS / object store
  2. 02CoverTwin · local processing
  3. 03Verification gate & review
  4. 04Your test workflow
Data flow in the agreed on-premises deployment

Encrypted jobs

The documented pilot uses AES-256-GCM for source, output and comparison. Key management and infrastructure encryption require deployment acceptance.

Retention & deletion

Documented demo state: original preview for 15 minutes, output job for up to one hour. Owners can delete jobs. Customer retention periods are agreed separately.

Roles & review

Jobs are assigned to a user and tenant. Original previews require a reviewer role. Enterprise SSO and the role model are scoped for the target system.

Traceable verification

Verification results and acceptance criteria support traceable decisions. Audit integration and immutable archiving are separate integration scope.

07 / DEPLOYMENT

Operation under your control.

On-premises

Containers based on Docker Compose in your network. Integration with document storage and test workflows is scoped together.

Your private cloud

Customer-managed environment with agreed network and access rules. DMS adapters, SSO and queues form part of the agreed integration scope.

CPU and RAM requirements: on request, based on your document families and pilot measurements. Licensing, integration and support follow the confirmed scope.

08 / PILOT

A pilot. An informed decision.

Two document families and one downstream task provide a focused starting point. Duration and dates by agreement.

  1. Initial discussion

    Clarify objectives, data ownership and security requirements.

  2. Select document families

    Choose two families and a separately labelled acceptance set.

  3. Test in your network

    Measure leakage rate, automation rate, unwanted edits and review effort against agreed thresholds.

  4. Assess the results

    Review the findings, integration scope and next steps together.

09 / QUESTIONS

What to know before the pilot.

Are the results automatically anonymous?

No. Fictional replacement values alone do not establish legal anonymity. Context, rare facts and re-identification risk need assessment for the intended use.

Can I export source documents for model training?

Source-derived training export is currently blocked. It requires separate legal and technical acceptance, a labelling policy and release rules. Newly generated fictional development text is a separate workflow.

Do we need a GPU or an external AI service?

Local OCR/NLP processing is CPU-based and uses no LLM or external AI inference API. Capacity is measured with your documents.

What is integrated in the pilot?

Containers and HTTP endpoints provide the foundation. Document vocabulary, DMS integration, SSO, queues and output formats are agreed as a concrete scope.

How do we get demo access?

Request access through the contact section. The separate demo is protected by Cloudflare Access and intended for fictional test data.

10 / PROVIDER

Provider

TheMindsLab GmbH

Köln

CoverTwin is a product of TheMindsLab GmbH.

kontakt@themindslab.ai

11 / CONTACT

Let’s scope your pilot.

Tell us about your test workflow and document families. We will respond shortly and agree the next step with you.

Fields marked * are required. No real personal data or original documents.

Document types

With JavaScript, this form prepares an email. Review and send the draft in your own email application. You can always use the email link.

Open email enquiry ↗