Turn Document Archives Into Searchable, Structured Data
A folder of scanned PDFs is storage, not an archive. AlQari reads, classifies, and extracts metadata from your documents so the archive becomes searchable and structured — you can actually find and retrieve what you need instead of scrolling through file names.
Scanning isn't archiving
Most "digital archives" are just scanned images sitting in folders. The text inside them isn't searchable, nothing is classified, and there's no metadata to filter or retrieve by. When someone needs a specific contract or invoice from three years ago, the search is manual — and slow.
Turn storage into a real archive
OCR the backlog
Read Arabic and English text from scanned PDFs and images so content becomes searchable.
Automatic classification
Documents are sorted by type so the archive is organized, not just dumped.
Metadata extraction
Dates, parties, identifiers, and amounts are pulled out as structured fields.
Full-text search
Search inside documents, not just by file name.
Structured retrieval
Filter and retrieve by extracted metadata to find the exact record fast.
Bulk processing
Run existing backlogs through the same pipeline as new incoming documents.
From scans to a searchable archive
- 1
Ingest
Bring in scanned PDFs and images, in bulk or as they arrive.
- 2
OCR
Read the Arabic and English text inside each document.
- 3
Classify & tag
Sort by type and extract metadata like dates, parties, and amounts.
- 4
Index & search
Index content and metadata so records are searchable and retrievable.
From a pile of scans to a structured archive
Before
- • Scanned PDFs named scan_0142.pdf
- • Text inside images — not searchable
- • No document type, no metadata, no structure
- • Retrieval means opening files one by one
- • Knowledge trapped in a shared drive
After
- • Every document read with Arabic + English OCR
- • Automatically classified by type
- • Key metadata extracted (dates, parties, IDs, amounts)
- • Full-text and metadata search across the archive
- • Retrieve the right document in seconds, not minutes
Archives teams make searchable
Contracts & agreements
Find the right clause or party without opening every file.
Financial records
Invoices, receipts, and statements retrievable by date, vendor, or amount.
Correspondence & records
Letters, memos, and case files searchable by content and metadata.
Archiving questions
How do you make scanned documents searchable?
What metadata gets extracted?
Can it process an existing backlog?
Does it organize documents automatically?
Does this work for Arabic archives?
How is this different from a document storage tool?
Turn your archive into something you can search
Run your scanned documents through OCR, classification, and metadata extraction — and actually find what you need.