Baseer OCR
From a document image to ready data
Document Intelligence
Every document
becomes knowledge you can act on
We read Arabic documents and turn their content into structured data, ready to search, integrate with your systems, and train your models on.
Powered by Misraj products
What it does
What it reads, and what it gives back
Scans, forms and photos become fields a system can use.
Layout understanding
Multi-column pages and tables come back with their structure intact, not scrambled into flat text.
Native Arabic support
Cursive script, diacritics and right-to-left layout, the failure modes that trip general OCR on Arabic.
Field extraction, not just text
Baseer Extract turns the read into data an ERP can consume directly: invoice lines, contract clauses, form fields.
Scans, photos and PDFs
A scanned page, a phone photograph or a PDF goes in the same way, so paperwork does not have to be captured again before it is processed.
Operational outcomes
Operational outcomes
What changes once the archive reads itself.
The archive becomes searchable
Scanned government records, contracts and forms stop being images and become text a search index can use.
Nobody retypes a document
Structured output goes straight into the receiving system, removing the manual re-keying step and its error rate.
Backlogs stop being permanent
Volume becomes a throughput question, not a hiring one, so a backlog gets cleared instead of lived with.
Products
Powered by Misraj products
Baseer OCR turns scanned Arabic documents into clean, structured Markdown, and Baseer Extract turns that into records an ERP or workflow can consume directly, deployed where the documents already live.
Thakaa
Arabic Tech Literacy for Human-Machine Understanding
Baseer Extract
Stop Retyping Your Documents, Extracted Into Your Systems
How it deploys
A cloud API for teams building pipelines, on-premises when documents cannot leave, or direct use with no integration project.
- Cloud API
- On-premises
- Direct
Cloud API
Through Kawn Console, for teams building RAG pipelines or document applications on top.
On-premises
For organisations with data sovereignty requirements, the documents never leave your environment.
Direct
Use it as a product at baseerocr.com without an integration project.
Already running on this solution
Already running on this solution
“Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.”
A national statistics authority · Customer case study
Read the case studyWhy general OCR is not enough
Baseer turns scanned archives into structured, searchable Markdown, and Baseer Extract turns that into data - invoice line items, contract clauses, form fields - an ERP or workflow can consume directly.
- 0.25
- Word error rate on Misraj-DocOCR
Trained on the script, not adapted to it
Baseer is a vision-language model fine-tuned for Arabic on real and synthetic documents, built for cursive script and diacritics.
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.
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.
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Deploy Document Intelligence
Tell us the problem. We will tell you honestly whether this is the right answer, and what it takes to deploy.