1. Receive documents
Import scanned PDFs and archive batches from existing storage, portals, or transfer pipelines.
OCR infrastructure for archive-heavy organizations
Turn scanned archives into searchable web systems.
OCR Trace processes scanned PDFs, builds structured document databases, and publishes searchable archive experiences for websites and custom web platforms.
- OCR + text extraction
- Metadata indexing + document database
- Search delivery + website integration
How it works
A practical pipeline from raw scans to usable search.
2. OCR and cleanup
Extract text with quality-aware processing and optional image enhancement for difficult pages.
3. Structure and index
Build metadata, categories, and search-ready records that make large archives actually navigable.
4. Publish and integrate
Deliver searchable archive pages, widgets, or API-connected endpoints for websites and web applications.
Core services
Not just OCR output. End-to-end archive infrastructure.
OCR & text extraction
Accurate extraction from scanned PDFs and image-heavy archives, including complex and low-quality records.
Document indexing database
Metadata-first structuring with filtering, categorization, and search indexing designed for large document collections.
Searchable web delivery
Integration-ready delivery for public portals, internal knowledge systems, and Linux-hosted web environments.
Who it is for
Built for teams managing serious document volume.
- Municipalities and public institutions
- Legal and compliance-heavy organizations
- Archive owners with large PDF repositories
- Agencies running portals for document-heavy clients
- Internal teams building searchable knowledge bases
Integrations
Fits existing websites, portals, and custom web systems.
Website CMS integration
Archive portal modules
Search widgets
API export and import
Webhook-ready workflows
Linux-hosted deployment flows
Pricing
Commercially simple. Operationally realistic.
From EUR99 / month
Throughput scales with scan quality and complexity. Typical range: 1,000 to 10,000 pages/month.
- High-quality scans: up to 10,000 pages/month
- Medium-quality archives: around 4,000 to 7,000 pages/month
- Poor or damaged scans: around 1,000 to 3,000 pages/month
Optional pre-OCR image enhancement may apply for difficult sources (typically EUR0.02 to EUR0.05 per page).
Quality vs monthly capacity
FAQ
Answers for OCR deployment, searchable archives, and integration.
Can OCR Trace process low-quality scanned PDFs?
Yes. We use quality-aware OCR and optional image enhancement to improve extraction for difficult or damaged scans.
Can we publish searchable archive results on our website?
Yes. OCR Trace supports widgets, portal modules, and API-oriented integration for websites and web applications.
What monthly OCR volume is realistic?
Typical throughput is between 1,000 and 10,000 pages per month, depending on scan quality and archive complexity.
Do clients get a profile area for subscription and invoices?
Yes. The client portal flow supports account access for managing subscription status and viewing invoice records.
Why it matters
Archive data becomes discoverable, usable, and indexable.
Faster retrieval
Users find records in seconds instead of digging through files.
Better visibility
Search-ready content supports improved web discoverability.
Operational continuity
Monthly processing keeps archives current, not frozen in backlog.
Next step
Start your subscription and launch your searchable archive pipeline.
Start with a practical review of your scan quality, volume, and integration path.
Existing client? Access your account in Client Portal.
