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Baseer
A vision-language model that outperforms GPT-5 on Arabic OCR
Baseer is a vision-language model built specifically for Arabic documents it outperforms GPT-5, Gemini 2.5 Pro, and Azure Document Intelligence on OCR benchmarks. Extracts text, tables (HTML), and equations (LaTeX) while preserving structure. API, on-prem, or web.
Hey PH
Arabic OCR has always been a hard problem for AI: connected script, complex ligatures, right-to-left layout, diacritics most vision-language models (including frontier ones) still struggle with it. We built Baseer to fix that: a specialized vision-language model trained on ~750K pages specifically for Arabic documents.
We benchmarked it against GPT-5, Gemini 2.5 Pro, Azure Document Intelligence, Qwen2.5-VL, and DeepSeek-OCR Baseer came out ahead on every metric (WER, CER, BLEU, CHRF, TEDS). [Link to research paper]
What it does beyond plain text extraction:
Converts tables into clean HTML
Extracts math/scientific equations as LaTeX
Correctly formats classical Arabic poetry (preserving meter/rhyme structure)
Detects watermarks and image placement
Outputs directly to Markdown, Word, or PDF
Available via API for automation, as a web app, or fully on-prem for teams that can't send documents to the cloud. Your files are never stored or used for training.
We benchmarked it against GPT-5, Gemini 2.5 Pro, Azure Document Intelligence, Qwen2.5-VL, and DeepSeek-OCR — Baseer came out ahead on every metric (WER, CER, BLEU, CHRF, TEDS).
Full research paper: https://arxiv.org/abs/2509.18174
Would love feedback, especially from anyone who's tried building OCR/document-AI for low-resource or complex-script languages. AMA!
About Baseer on Product Hunt
“A vision-language model that outperforms GPT-5 on Arabic OCR”
Baseer was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #148 on the daily leaderboard. Baseer is a vision-language model built specifically for Arabic documents it outperforms GPT-5, Gemini 2.5 Pro, and Azure Document Intelligence on OCR benchmarks. Extracts text, tables (HTML), and equations (LaTeX) while preserving structure. API, on-prem, or web.
On the analytics side, Baseer competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Baseer performed against the three products that launched closest to it on the same day.
Who hunted Baseer?
Baseer was hunted by Rawan Tattan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Baseer including community comment highlights and product details, visit the product overview.
Rawan Tattan