Conceptual image

Local AIfor documents.

We implement local document AI in the system you already use.

OCR · Review · Answers with sources

From scans to text.
In the existing catalogue.

We implement document recognition and review on your infrastructure. We integrate with the systems you use every day, adapt the scope to your processes and assess quality on a sample.

Conceptual image

Specialist archive

We connected a local module to the catalogue to process multipage PDFs, scans and RAR archives. Staff can review the text alongside the original, correct it and export it to Word.

  • Background processing
  • Existing sign-in and access permissions

An anonymised implementation. Difficult pages require human review.

From documents to information.
From information to action.

LOKAL turns scans into text, helps verify information and delivers results to the tools your team uses.

Content ready to use.

Turn scans and PDFs into text you can review, correct and use in a report. The original stays within reach.

OCR

Answers you can verify.

Ask questions about selected documents and follow the reference to its source page. Your team can check the information before using it.

Q&A

Results where you work.

Use the text in Word and Markdown, or receive results in your existing system through an agreed integration.

Integration

We validate scope and quality on a sample of your organisation’s documents.

Let’s talk about your documents

Less searching.
Information within reach.

For teams that regularly revisit documentation and need control over their data.

An archive you need to revisit

Reports and documentation exist as scans. Finding the information you need requires manual reading.

Documents in everyday workflows

New files arrive in your document system, CRM or archive. Results need to return to the same case.

Confidential data and your access rules

Customer information and technical data need to be processed in line with your organisation's policies.

Your system.
Now with AI.

Connect LOKAL to your document workflow. AI processes files locally and returns results to the tools your team already uses.

Together, we agree the integration scope, permissions and where the results will appear.

Let’s talk about integration

Document AI platform

OCR and queuing, page previews, versions, corrections and export to Word and Markdown. Questions about selected recognised documents.

Integration with your system

A connector tailored to your sources, access permissions and users' working environment.

Ready for operation

Hardware sizing, monitoring, backups, documentation and training. Maintenance and updates within an agreed scope.

Hardware, administration and offline operation
  • We assess your available server or specify a new node based on your documents and load testing.
  • Offline operation requires appropriate configuration of the environment, updates and administration.
  • File flows, backups and access rules form part of the agreed implementation project.

First, we evaluate.
Then, we implement.

We start with your documents. Every stage delivers an outcome you can assess.

Let's discuss your sample
  1. 01

    Assessment and sample

    We examine the workflow, data sources and requirements, and test both typical and difficult documents.

    A quality report, hardware requirements and pilot scope.

  2. 02

    Local pilot

    We run the agreed scenario alongside your production system and measure its performance.

    A validated workflow and a decision on further implementation.

  3. 03

    Integration

    We connect files, permissions and results to the right place in your system.

    A working document flow and a prepared rollback plan.

  4. 04

    Operation and support

    We enable processing of new and historical documents, provide instructions and train your team.

    A controlled queue, monitoring and agreed support.

Before
we begin.

What to know before your first implementation discussion.

Which file formats can we process?

PDF, TIFF, JPEG and PNG, plus ZIP, RAR, 7z and TAR archives within agreed limits. We validate the quality of text, tables and difficult scans on your sample.

Do we need to replace our DMS, CRM or archive?

We extend your existing system with AI features. The connector, permissions and result views are designed with you. A separate interface is an option when your current system cannot provide a suitable workspace.

Can processing work without internet access?

Yes, with appropriate configuration. Models and processing run locally; data flows, updates and administration are defined within the project.

How do you assess quality, including for Polish documents?

We qualify the language profile on your sample. Text, numbers and important structures are assessed separately. Include handwriting, tables and poor-quality scans that require human review.

What happens when a page fails?

A technical failure has a visible status and retry history. Processing can be retried and text corrected. Content accuracy is checked against the original.

What server do we need?

We assess your available hardware or specify a new node. Requirements depend on the documents, enabled features and load testing.

Can we search the full collection or analyse recordings?

The core supports questions about selected documents. Collection-wide search and speech modules require a separate project and qualification. Field extraction is tailored to a specific workflow.

What will we receive after the sample assessment?

A report on quality and limitations, hardware requirements, an integration plan and pilot criteria. The assessment scope and cost are agreed before work begins.

Search across the full collection, speech modules and field extraction are scoped separately. The core includes OCR and questions about selected documents.

LET'S TALK ABOUT YOUR DOCUMENTS

Let's see
what we can
simplify.

Tell us about your documents and your team's work. Together, we will choose a sample and a useful starting scenario.

FOR OUR FIRST CONVERSATION

Let's start with the specifics.

  • What documents do you process?
  • Which system does your team use?
  • What outcome do you want?
Arrange a sample assessment test@local.aiSample preparation checklist

Share confidential files only after agreeing how they will be provided.