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ServiceArabic OCR and digitization

Arabic OCR and document digitization for your archive

O AI builds Arabic OCR and document digitization workflows in Al Khobar. We turn scanned PDFs, photos and paper archives into searchable text and structured data, extract the fields your team needs, send doubtful results to a person for checking, and keep every original linked to its record.

What we build

Document digitization, from scan to data

Arabic text extraction

OCR for scanned PDFs and photos, including pages that mix Arabic and English.

Fields into structured data

Names, dates, amounts and reference numbers taken from invoices, contracts and forms into your system or a spreadsheet.

Searchable electronic archive

An archive where your team finds a document by its content, type or date, with the original image kept.

Human review of doubtful results

Fields the system is unsure of go to a review screen, so a person confirms them before they enter your records.

Sorting and classification

Incoming documents are sorted by type before extraction, so each one gets the right template.

Connection to your systems

Extracted data is sent to your ERP, accounting software or any other system through APIs.

How we work

How we digitize your documents

  1. Free consultation and samples

    We look at real samples of your documents and agree which fields matter and how accurate they need to be.

  2. Sort and scan well

    We set scanning standards and sort documents by type, because scan quality and sorting shape the results as much as the OCR engine does.

  3. Extract and check

    The system extracts the fields, and a person checks the ones it is unsure of.

  4. Archive and connect

    We load the results into a searchable archive and connect them to your systems, with the originals kept.

  5. Measure and improve

    We review error rates with you and adjust the templates as new document types arrive.

Our own products

How we handle documents in our own products

Rushd, our law-firm software, keeps a firm's templates and clauses in a searchable library, with a document workspace for each matter.

Drafting, review and the interface in Rushd are native Arabic, not translated from English.

In Rushd, matters and documents are not used to train models, and firm data is encrypted in transit and at rest.

Questions

Common questions

How is the cost of an OCR project set?

Pricing is project-based. The cost depends on the number and types of documents, the fields to extract, the review steps and the systems the data goes into. We send a written quote after a free consultation and a look at your samples.

How long does it take to digitize an archive?

It depends on the size and condition of the archive and on how many document types it holds. We start with a sample batch, and the timeline for the rest is set from what that batch shows.

Why does Arabic OCR so often come out wrong?

Connected letters, dots, diacritics, stamps and poor scans all trip up OCR engines, especially on old or handwritten pages. That is why we sort documents first, set scanning standards and send doubtful fields to a person.

Can you extract text from a PDF without OCR?

Yes, when the PDF holds real text rather than a scanned image, the text can be read directly, which is faster and more accurate. We only apply OCR to the pages that are scans.

Do you handle handwritten documents?

Handwriting is harder than print, and the results depend on how clear it is. We test your handwritten samples first and tell you plainly what can be automated and what needs manual entry.

Guides

Read more on our blog

Have an archive waiting to be searched?

Share a few sample documents in a free consultation and we will show you what can be extracted from them.

Book a free consultation

We reply within one business day.