Blog
Baseer: Misraj’s Vision Language Model for Arabic Document to Markdown OCR
Baseer by Msraj converts Arabic document images and PDFs into structured Markdown — trained on ~750K pages, it's the top model for Arabic document conversion.
Legal
Legal Arabic,
where one missing mark changes the meaning
Documents where a missing detail changes the outcome
What legal teams deploy
Contracts and filings read structurally, not photographed.
Arabic OCR is genuinely hard: cursive script, diverse fonts, diacritics, right-to-left orientation, regional typographic variation. Baseer is a vision-language model fine-tuned for exactly that, and it outputs clean Markdown that preserves the document's own hierarchy. Baseer Extract then returns the clauses, dates and parties as fields an existing system can take.
Explore Baseer OCRMeaning preserved across languages, and restored within one.
Mutarjim handles long, complex sentences in both directions and was built to hold up on demanding domains rather than to read smoothly. Sadeed puts the diacritics back, so search indexes, translation and downstream analysis are working from unambiguous text in the first place instead of guessing at it.
A question answered from your own case files.
Retrieval over internal document stores, with Arabic handled by the Kawn-Embed family, returns the passage and the file it came from rather than a paraphrase with no provenance. It runs inside your environment, which is what makes it usable on privileged material at all.
Explore Seamless Enterprise
Products
Built on Misraj products
Baseer Extract reads the file, Seamless Enterprise answers from it, and Sada turns the hearing into a record. Three products, one boundary, nothing leaving the firm.
Resources
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Blog
Behind the Buzzwords: How RAG and AI Agents Really Work
A hands-on introduction to some of today’s most powerful AI concepts—Embeddings, Retrieval-Augmented Generation (RAG), AI Agents, and MCP. In this blog our engineer Wassim Ben Jdida breaks down how these technologies work, when to use them, and even includes code-style examples to help you get started with real-world AI implementations.
Case study
A processing pipeline for building Arabic textual and multimodal datasets that are ready for training, analysis, and reuse.
Technical Case Study
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Put Arabic AI to work in Legal
Tell us the problem. We'll tell you honestly whether AI is the right answer.