Document & text processing

Area: AI & Automation · Usual shape: intake, processing and review · Languages: Arabic and English

Typing document data in by hand is slow, expensive and error-prone, and nobody wants the job. We build the path that takes documents in, classifies them, extracts what matters, and puts what it was unsure about in front of a person — because processing that does not admit its limits produces errors worse than manual entry.

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What this solves

Supplier invoices are typed in by hand, every day.
Receipts arrive as photographs from the field.
An archive of contracts cannot be searched.
Statements arrive as files and are re-keyed into a system.

What we build

Intake from mail, upload or a watched folder.
Document-type classification.
Extraction of the fields you actually need, not everything on the page.
Handling of Arabic, English and mixed text.
A confidence score per field.
A review screen for anything below the agreed threshold.
Export into the system that needs the data.
Periodic accuracy measurement and correction.

Where it is used

Supplier invoices typed in by hand.
Delivery receipts arriving as photos from the field.
Paper forms that get scanned.
A contract archive that needs to be searchable.

What this does not include

We do not guarantee complete accuracy, especially on poor scans or handwriting.
We do not provide paper-archive digitisation as a scanning service.
We do not undertake legal validity for any extracted document.
We do not train custom models.

How the work goes

We start from a real sample of your actual documents, including the bad ones.
We agree which fields matter and what confidence threshold sends one for review.
We run it in parallel with manual entry until the numbers justify stopping.
We measure accuracy periodically rather than assuming it holds.

Workflow automation
to route what was extracted to whatever happens next.
AI assistants & conversational interfaces
when people need to ask questions rather than process files.
Custom business systems
when the system receiving the data does not exist yet.
System & service integrations
to deliver the output into an existing system.

Questions about this service

What accuracy should we expect?

It depends entirely on your documents, and we measure it on your real samples rather than quoting a number. What we design for is that uncertain extractions go to a person instead of being trusted silently.

Does it work with Arabic documents?

Yes, and it is tested on Arabic separately rather than assumed to follow from English. Mixed-language documents are common and are handled explicitly.

What happens when an extraction is uncertain?

It goes to a review screen with the document beside it. The threshold for that is a setting we agree with you, and it is usually tightened over the first weeks.

Do the documents leave our systems?

That is agreed explicitly in scope and written down before anything starts. Where documents must not leave, that constrains the design from day one.

How many documents can it handle?

We size it against your real volume and measure before launch. A throughput figure without your documents behind it would not mean anything.

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