A table stays a table.
Columns and tables are extracted as they were, not scattered text.
Document Intelligence
From silent scans to data that speaks.
We read Arabic documents and turn their content into structured data, ready to search, integrate with your systems, and train your models on.
Find it in
A closer look
What it reads. What it gives you.
The scanned page, the form, the photo. All become fields your system can use.
Reads Arabic the way it's written.
Joined letters, diacritics, right-to-left. Where generic tools stumble, Baseer was built to read.
Fields, not just text.
Invoice lines, contract clauses, form fields. Baseer Extract returns them ready for your ERP.
Shoot it as it is.
A scanned page, a phone photo, a PDF. All go in the same way, no re-shooting.
Operational outcomes
What changes when the archive reads itself?
01
Your archive answers.
Records, contracts, scanned forms. No longer images. Now text you can search.
02
Nothing to retype.
Data moves straight into your system. The manual entry step disappears, and its errors with it.
03
The backlog ends. Finally.
Document volume no longer needs more staff. You clear the backlog instead of living with it.
Products
Two products, two steps.
Baseer OCR reads your document and turns it into clean Markdown. Then Baseer Extract pulls out records your system takes in directly. Both run where your documents live.
Deployment options
How it deploys
Three ways to start.
For government and enterprise02
On-premises
For documents that never leave your building.
ISO 27001Your documents never leave your building
For developers01
Cloud API
For teams building RAG pipelines or document apps, through Kawn Console.
Kawn Console
Kawn ConsoleIn use today
A national statistics authority
Large volumes of Arabic-language forms and archives needed to be digitized and structured, with manual review creating a growing backlog.
Read the case study“Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.”
Why Misraj
Why isn't general OCR enough?
Generic toolBaseer
- 01
Trained on the script, not adapted to it
Baseer is a 3-billion parameter model fine-tuned for Arabic on real and synthetic documents, built for cursive script and diacritics.
Generic toolAdapted to ArabicBaseerTrained on cursive script and diacritics - 02
Structure survives the read
Standard OCR returns a raw text string. Baseer reads columns, tables, headers and layout hierarchy, then emits clean Markdown you can index and build on.
Generic toolRaw textBaseerMarkdown - 03
Measured on an Arabic benchmark
Accuracy is reported on Misraj-DocOCR, our expert-verified Arabic benchmark, not an English test set with Arabic added on.
Generic toolAn English test setBaseerMisraj-DocOCR
Get started
Your archive is waiting to be read.
Tell us what your documents are and how many. We will build the shortest path to start with you.