AI Document Processing
AI document processing that reads Arabic and English for you
Your team spends hours typing data from invoices, contracts and forms into other systems. Our AI reads these documents in Arabic and English, pulls out the data you need, checks it, and sends it where it belongs. Anything it is not sure about goes to a person to confirm.
What we deliver
What it does
Reads.
Reads PDFs, scans and photos of documents, in Arabic, English or both on the same page.
Extracts.
Pulls out the fields you need, such as names, dates, amounts, item lines and reference numbers.
Checks.
Compares the data with your rules and records, such as totals that do not add up or a supplier that is not in your system.
Sorts.
Recognises each document type and sends it down the right path.
Sends.
Puts the data into your accounting system, ERP, CRM or a spreadsheet, so nobody types it twice.
Documents it reads
Invoices, receipts and purchase orders
Contracts and agreements
Application and registration forms
Technical documents such as specifications and bills of quantities
Letters and official correspondence
How it works
01
Collect.
Documents arrive by upload, email or a shared folder.
02
Read and extract.
The AI reads each document and pulls out the fields you agreed.
03
Check.
It checks the data against your rules and flags anything unclear.
04
Review.
Your team confirms only the flagged fields, not every document.
05
Send.
The confirmed data goes into your systems, and the original document is kept with it.
Common ways companies use it
Finance: turn supplier invoices and receipts into accounting entries, and match them with purchase orders.
Operations: pull key terms, dates and amounts out of contracts, and flag missing or unusual clauses for review.
Projects: read specifications, bills of quantities and correspondence, and check them against your standards.
Used by engineering and architecture firms, logistics companies, finance teams and more: any business that types the same kind of data from documents every day.
Why not plain OCR?
OCR turns a page into text, and many free tools do that well. It does not know which number is the total, whether a date is a due date or an issue date, or what to do when a field is missing. Our AI understands the document, extracts the fields you need, checks them, and sends them to your systems. It also handles Arabic, including mixed Arabic and English pages, where most tools struggle.
What you see after launch
Every document processed, with its type, its fields and where the data went.
Every flagged field, with who confirmed it and when.
Time saved, shown as documents handled without manual typing.
A monthly review, where we fix weak spots and add new document types.
How we work
01
Free 30-minute call.
We look at the documents that slow your team down and check if AI is the right fix.
02
Discovery on your documents.
We review your document types and agree which fields to extract and check.
03
Build and connect.
We set up the pipeline, agree the checks and connect it to your systems.
04
Launch and improve.
We launch one document type first, then add more, improving every month.
Your data stays under your control
We agree with you where documents and data are stored, and we can run everything on your own servers. Access is limited by role, every action is logged, and documents are kept or deleted on the schedule you set.
FAQ
Questions about AI document processing
Yes. It reads Arabic, English and pages that mix both, whether the file is a clean PDF, a scan or a phone photo. Quality matters: a sharp scan gives better results than a dark photo taken at an angle, so during the build we test your real documents, including the hard ones, and show you where the AI is confident and where it needs help. Stamps, signatures and tables are handled as part of the document. If some of your documents are handwritten, tell us early, because handwriting needs separate testing before we can promise results.
Accuracy depends on the document type and quality, so we measure it on your own documents before launch instead of quoting a general number. For every field, the AI gives a confidence level. Fields it is sure about go straight through; fields it is not sure about, or that break one of your rules, are flagged for a person to confirm. Your team checks only those flagged fields, not every page. Every confirmation is logged, and we use the corrections in the monthly review to improve the results, so the share of documents that pass without help keeps growing.
Wherever your team needs it. We connect the pipeline to your accounting system, ERP, CRM or project tools, so the data lands in the right fields without anyone typing it. If a system has no way to connect, we start with a simple export, such as an Excel file or a shared sheet, and add the full connection later. The original document is kept and linked to the data it produced, so anyone can open the source when they need to check something. You decide which fields go where, and you can change it as your process changes.
Documents that arrive often and follow a pattern give the fastest results: invoices, receipts, purchase orders, forms and standard contracts. The layout does not have to be the same every time, because the AI reads the meaning, not fixed positions on the page. Long or complex documents, such as full contracts or technical specifications, also work well when the goal is clear, for example pulling out key dates, amounts or clauses. We usually start with the one document type that costs your team the most time, prove the results, and then add more types one by one.
A first document type is usually ready in 8 to 12 weeks, including testing on your documents, the checks, the connection to your systems and a period of running side by side with your team. It is faster when your documents are digital and your systems are easy to connect, and slower when there are many document types or messy scans. After the first type is live, adding a similar type takes much less time, because the pipeline, the checks and the connections already exist. We agree the scope and timeline in writing before we start.
The cost depends on how many documents you process each month, how many document types there are, and which systems the data goes to. There is a one-time build and a running cost that covers AI usage, hosting and support, which grows with your volume. Before we build, we look at your document types, estimate your monthly volume and give you a clear quote for both. We do not publish prices, because a firm processing a hundred contracts a month needs a very different setup from one processing thousands of receipts.
Ready when you are
See how much of your paperwork AI can take over
Tell us which documents slow your team down. In a free 30-minute call, we will tell you what the AI can extract and check.