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RaccoonDoc for Archives
Unlock Centuries of Knowledge with AI-Powered Digitization
Convert kilometers of shelves into searchable, future-proof data in weeks, not years.
Why Traditional Archives Need a Digital Future
Decades of paper-based records—often stored in fragile boxes or on aging microfilm—are locking away knowledge that researchers, citizens, and public servants urgently need. Image-only “digitization” projects have helped preserve pages, but without text search or metadata, the information itself remains buried. As open-government mandates and privacy laws tighten across the EU, UK, Canada, and Australia, archives face growing pressure to provide fast, secure, and inclusive access to their holdings.
Fragile originals deteriorate every day
Temperature, humidity, and handling gradually destroy irreplaceable documents, photographs, and maps — sometimes faster than they can be conserved.
Limited public access and costly retrieval
Researchers must travel to reading rooms, request boxes, and wait for staff to fetch items; each retrieval can consume 10–30 minutes of skilled archivist time.
Image-only scans are not “digital records”
Without full-text recognition and structured metadata, scanned pages cannot be searched, cross-referenced, or integrated into modern information systems.
Manual indexing bottlenecks projects
Typing titles, dates, and keywords page-by-page is slow, error-prone, and expensive; large collections can take decades to catalog by hand.
Rising expectations for transparency and e-services
Freedom-of-information laws, open-data strategies, and digital-court initiatives all require timely, privacy-compliant access to historical and legal records.
Data privacy regulations add complexity
GDPR and similar acts demand accurate redaction of personal data before public release—an impossible task at scale without intelligent automation.
What RaccoonDoc Brings to Your Archive
RaccoonDoc combines state-of-the-art AI, Intelligent Document Processing (IDP) and secure infrastructure to transform static scans into living, searchable records — at scale.
AI-Native Handwriting & Print OCR
Deep-learning vision models read typewritten, printed, and difficult cursive scripts with up to 98 % character-level accuracy—even on faded, stained, or low-resolution images.
Multilingual & Multiscript Mastery
Supports Latin, Cyrillic, Greek, Gothic Fraktur, Arabic transliteration, and more, letting multinational collections surface every line of content.
Automated Classification & Metadata Extraction
Identifies document type, date, parties and other key fields page-by-page or box-by-box; outputs clean XML/JSON or embeds XMP metadata in PDF/A.
Built-In Privacy & Redaction Tools
Detects personal data (GDPR, CCPA, PIPEDA) and masks it automatically, ensuring compliant public release without extra workflows.
Human-in-the-Loop Validation
Web dashboards let archivists review low-confidence fields, accept bulk suggestions, or override values—preserving scholarly control while speeding throughput.
Massively Parallel Scalability
Containerized micro-services process millions of pages per week; auto-scale on Kubernetes to handle peak imaging campaigns.
From box to browser in four steps
Step 1. Ingest – capture everything, exactly as it is
Bulk-upload scans, photographs, or microfilm reels via secure drag-and-drop, SFTP, or API. RaccoonDoc automatically detects page boundaries, de-skews crooked images, and improves contrast, so even faded parchment or oversized maps enter the pipeline in crisp, preservation-grade quality.
Step 2. Recognise – let the AI read every word
Deep-learning OCR models identify printed, typewritten, and handwritten text in 200+ languages and scripts. Layout analysis preserves columns, stamps, seals, marginalia, and handwritten notes, turning each element into machine-readable data without losing context.
Step 3. Enrich – add structure, context and compliance
The platform classifies documents by type (petition, census sheet, court register, etc.), extracts key metadata (dates, names, places) and flags personal data for automatic GDPR-compliant redaction. Confidence scoring highlights low-certainty fields for optional archivist review in a Human-in-the-Loop dashboard.
Step 4. Deliver – searchable records at your fingertips
Export preservation-ready PDF/A, XML, or JSON, push files into your DAM or archive management system via open REST/GraphQL APIs, or trigger RPA robots (UiPath, Blue Prism) for downstream workflows. Full-text search and rich metadata make centuries-old knowledge discoverable online—instantly.