An archive you need to revisit
Reports and documentation exist as scans. Finding the information you need requires manual reading.
DOCUMENT AI FOR ORGANISATIONS
Local AI for documents.
On your infrastructure.
Turn scans into usable text and answers with sources. We integrate OCR and questions about selected documents into your existing system.
YOUR SYSTEM. YOUR DOCUMENTS.
- Local processing
- Integration with existing systems
- Validated on your sample
IMPLEMENTATIONSpecialist archive
New capabilities.
The same document catalogue.
We connected a local module to an operational archive. The team retained its existing sign-in and access permissions.
Background processing Results alongside the document
An anonymised implementation example.
01USE CASES
Less searching.
More time
for information.
For teams that regularly revisit documentation and need control over their data.
Explore the exampleDocuments 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.
02HOW LOKAL HELPS
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.
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.
Results where you work.
Use the text in Word and Markdown, or receive results in your existing system through an agreed integration.
Your documents. Your infrastructure.
Let’s talk about your documentsWe validate scope and quality on a sample of your organisation’s documents.
03ON YOUR INFRASTRUCTURE
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 integrationProcessing on your infrastructure
Your systemWhere your team works
LOKALLocal AI module
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.
04FROM SAMPLE TO IMPLEMENTATION
First, we evaluate.
Then, we implement.
We start with your documents. Every stage delivers an outcome you can assess.
THE FIRST STEP
Assess your sample
A quality report, limitations and a pilot plan. We agree the scope and cost before work begins.
Let's discuss your sample- 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. - 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. - 03
Integration
We connect files, permissions and results to the right place in your system.
A working document flow and a prepared rollback plan. - 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.
05QUESTIONS AND ANSWERS
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?
Share confidential files only after agreeing how they will be provided.