Data, Analytics & Knowledge
Stop retyping paperwork by hand
Your team is still keying invoice totals and contract dates into spreadsheets by hand. We build a pipeline that reads the document, in Arabic or English, and hands you clean fields ready for your ERP or database.
2 to 4
weeks to a working first version
AR + EN
handwriting, print and mixed-language pages
1
pipeline feeding your existing systems
The direct answer
Document AI and OCR turns paper and PDF documents into structured data your systems can use. We build a pipeline that reads invoices, contracts, delivery notes or forms in Arabic and English, pulls out the fields that matter, and writes them into your ERP, database or spreadsheet. It suits any team still manually typing data from documents into another system.
What this removes.
Manual data entry from invoices
Today
Someone retypes supplier invoices line by line into the accounting system every week.
With the system
The invoice PDF is parsed automatically and the line items land in your system within minutes.
Arabic documents get skipped
Today
Off-the-shelf OCR tools mangle Arabic text, so Arabic paperwork gets processed by hand instead.
With the system
The pipeline handles Arabic and English in the same document, including mixed-language forms.
No record of what a contract actually says
Today
Contract terms, renewal dates and clauses sit buried in scanned PDFs nobody searches.
With the system
Key terms and dates are extracted into a table you can filter, sort and set reminders against.
Errors slip through unnoticed
Today
A typo in a manually entered total or date only surfaces weeks later during reconciliation.
With the system
Extracted fields carry a confidence score, and anything uncertain is flagged for a human to check.
What lands in your hands.
Document ingestion
Email, upload folder or scanner feed into one intake point.
Bilingual OCR engine
Reads Arabic and English text, including scanned and photographed pages.
Field extraction rules
Pulls the specific fields you need, invoice totals, dates, IDs, line items.
Confidence scoring
Every extracted field gets a score, so low-confidence results get flagged.
Review queue
A simple screen where staff confirm or correct flagged extractions.
System integration
Clean data pushed into your ERP, database or a spreadsheet export.
Systems and platforms we work with
- OpenAI
- Anthropic
- Google Gemini
- Meta
Systems and platforms we work with
- React
- Next.js
- TypeScript
- Node.js
- Python
- Flutter
- PostgreSQL
- Supabase
- Tailwind CSS
- Docker
- GitHub
- Google Cloud
- Figma
Five stages. You sign off every one.
Read each stage as a small contract: what we need from you, what lands in your hands, and the sentence that has to be true before we move on.
- Document audit3 to 5 days
- Extraction pipeline build1 to 2 weeks
- Review workflow3 to 5 days
- System integration1 week
- Live operation and supportongoing
Document audit
3 to 5 days
We look at real samples of your documents to see what formats, languages and layouts we're dealing with.
- Share 20 to 30 sample documents
- Name the fields you need extracted
- A written scope of document types and fields
- A rough accuracy estimate per document type
We move on when we agree on the document types and fields in scope before any build starts.
Extraction pipeline build
1 to 2 weeks
We build the OCR and extraction pipeline against your actual document samples, not generic templates.
- Answer questions on edge cases
- Provide more samples if formats vary
- A working extraction pipeline
- A first accuracy report on your sample set
We move on when extraction accuracy on your sample set meets the target we agreed in the audit.
Review workflow
3 to 5 days
We build the human review screen for anything the confidence score flags, so nothing bad data slips through unseen.
- Test the review screen with your team
- Confirm who owns the review queue
- A working review interface
- Confidence thresholds tuned to your risk tolerance
We move on when your team can review and correct flagged documents without our help.
System integration
1 week
We connect the pipeline output to your ERP, database or spreadsheet, so extracted data lands where you already work.
- Grant access to the target system
- Confirm field mapping is correct
- A live integration
- A mapping document for every field
We move on when extracted data appears correctly in your target system on a real batch of documents.
Live operation and support
ongoing
The pipeline runs on your live document flow. We monitor accuracy and are available for fixes as document formats change.
- Send new document formats as they appear
- Flag any recurring extraction errors
- Ongoing monitoring of extraction accuracy
- Fixes and retraining when formats shift
We move on when this is the standing state. We stay reachable for support and adjustments.
Asked before signing.
How do you price a document AI project?
Price depends on document variety, how many distinct layouts and fields you need, and integration complexity. A single document type with a handful of fields is a smaller build than ten different invoice formats from different suppliers. We give a fixed price after the document audit stage, once we've seen real samples.
How well does it handle Arabic, including handwriting?
Printed Arabic text extracts reliably. Handwritten Arabic is harder and accuracy varies by handwriting quality, so we test against your actual samples during the audit and give you an honest accuracy estimate before you commit to the build.
What happens to our document data, is it PDPL compliant?
Documents are processed under your instructions and we minimize what leaves your infrastructure. We can discuss on-premise or in-Kingdom hosting for sensitive documents. We'll walk through the data flow with you before the build starts so there are no surprises under PDPL.
Can this connect to the ERP or system we already use?
Yes. We map extracted fields to whatever system you use, whether that's SAP, Odoo, a custom database or a spreadsheet. If your system has an API we integrate directly. If it doesn't, we can export in a format your team already imports.
Get your documents working for you
Send us a batch of the documents your team keys in by hand. We'll tell you honestly what's extractable and what a working pipeline would take.