Arabic-first document intelligence

The Arabic archive, machine‑readable.

We turn handwritten Arabic manuscripts, letters and records into text you can search, cite and use. On your servers. Your documents never leave.

Programmes and recognition

  • NVIDIAInception Program
  • Deloitte PrivateTechnology Fast 50 ME · Impact winner
  • GoogleFor Startups
  • inspireU from stc
  • Literature, Publishing & Translation Accelerator
  • Qatar Development BankCapital Q pre-accelerator
  • AWSActivate
  • Monsha'at
  • Flat6Labs
  • DatadogFor Startups
  • NTDP
  • KFUPM
  • Qatar Science & Technology Park

In the press

ReutersCoreTechX OCR system for handwritten Arabic recognitionFortuneCoreTechX leads the GCC's transition from AI ethics to quantifiable ROI through transparent AIKhaleej TimesCoreTechX launches first end-to-end on-premise AI system for Arabic handwritingEntrepreneur Middle EastHow CoreTechX's OCR system makes Arabic-first document intelligence practicalTechTimesUnlocking the Arabic archive: CoreTechX's hybrid transformer architecture and the end of the black boxMENAFNBeyond OCR: CoreTechX unlocks the GCC's locked data assets with sovereign AIGCC Business NewsThe founders building AI infrastructure for handwritten ArabicArab HeraldCoreTechX and Arabic-first document intelligenceFox InterviewerHow CoreTechX is building Arabic-first document intelligenceEye of DubaiHow CoreTechX's OCR system turns Arabic documents into strategic assets
How it works

From a handwritten page to an answer you can trace.

  1. 1Upload

    Scan the page as it is

    Faded ink, margins and stamps. No manual clean-up first.

  2. 2Read

    Handwriting becomes text

    Line by line, with a confidence score on every word.

  3. 3Verify

    Humans check the hard parts

    Low-confidence words are flagged, so experts spend minutes, not days.

  4. 4Search

    Ask the archive

    Search by meaning across thousands of pages, cited to the page.

The difference

From manual chaos to machine speed.

One handwritten page, start to answer. Minutes are illustrative.

Manual archiving

Finally done
120min

1. Manual transcription

Operator retypes handwritten Arabic line by line.

2. Proofread twice

Cross-checked by a second reviewer.

3. Re-enter into official form

Copy text into institutional templates.

4. Manual tagging

Type in date, author and classification.

5. File naming & storage

Save to shared drives and update the index.

6. Search when needed

Browse folders and filenames by hand.

7. Read for context

Read whole documents to interpret them.

8. Summaries & reports

Write summaries for managers by hand.

9. Repeat next time

Every new question starts from scratch.

CoreTechX

Done
20min

1. Upload the scan

Drag and drop into the CoreTechX portal.

2. AI transcribes

Handwritten Arabic to text, with word confidence.

3. Review flagged words

Only low-confidence words go to an editor.

4. Auto-template export

Structured into your Word or PDF template.

5. Search & summaries

Indexed for meaning; answers cite the page.

What we offer

Built for governments, archives and researchers.

National archives, ministries, courts, universities and AI teams.

Handwritten Arabic OCR

Manuscripts, letters, court and land records, including marginal notes and Hijri dates.

Every word, weighed

One dot can change a word. The model weighs each possible reading and shows its confidence, so reviewers only check the close calls.

Automated templates

Owner, date, location, boundaries, price and witnesses pulled straight from the handwriting into your institution's own form, ready for Word or PDF.

Archive search & translation

Ask in Arabic across every collection at once, get summaries, and translate structured content for research.

On-premise & sovereign

Runs fully on your infrastructure. No data leaves your servers. Designed for PDPL and regulated institutions.

Training data for AI teams

Verified handwritten Arabic lines, each image paired with its checked transcription. Rights-cleared and delivered in the format your training pipeline needs.

Engagement models

Start with your own pages.

Try it yourself. Ask for a demo login and run CoreTechX on your own handwritten pages before you commit.

Ask for a demo
For AI teams

Datasets & licensing

For AI teams and research organisations.

Customby volume & complexity
  • Licensed handwritten Arabic data
  • Human-verified ground truth
  • Page- or line-level alignment
  • Custom preparation to your spec
Request a sample
FAQ

Questions institutions ask us.

Something else on your mind? We answer within one working day.

Ask on a call
What documents do you support?

Handwritten and printed Arabic: manuscripts, letters, court and land records, registers and government files, including marginal notes and stamps.

How accurate is it?

It depends on script, ink and paper. Every word gets a confidence score and uncertain words go to human review. Ask for a demo login and test it on your own pages before any contract.

Can it run on our own servers?

Yes. On-premise is our default for government and regulated clients. Your documents never leave your infrastructure.

Is our data used to train your models?

No, not without a separate written agreement.

Which languages and scripts?

Arabic first, in Naskh and Ruq'ah handwriting as well as print. Other scripts on request.

How long does deployment take?

A pilot on your documents typically starts within weeks. Full rollout depends on volume and integration.

Can it connect to our existing systems?

Yes, through secure APIs and exports to Word, PDF and JSON.

Get in touch

Bring us one page. We'll show you the text.

Arabic-first document intelligence, built for institutions.

Digitise, structure and search handwritten Arabic archives, fully on-premise.

Book a call