Arabic handwritten VLM

Hi everyone,

Based on your experience, which trained VLM performs best for extracting text from handwritten Arabic forms (e.g., applications, questionnaires, administrative documents)?

I’m mainly looking for the highest possible accuracy in:

• Arabic handwritten text recognition

• Structured form understanding (fields, tables, checkboxes)

• Mixed printed and handwritten Arabic content

• Ideally offline/self-hosted inference Have you tested any models such as Qwen-VL, Florence, PaliGemma, or Arabic-specific OCR/VLM models on this type of document? If possible, I’d appreciate benchmark results, model recommendations, and fine-tuning advice.

Thank you!