Arabic & Urdu OCR for AI & LLM Workflows
Extract clean, connected Nastaliq and Naskh text from scanned documents for ChatGPT, Claude, and RAG systems.
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Why AI Models Struggle with Arabic and Urdu Scans
- Nastaliq script uses diagonal baselines that most vision models and standard OCR engines fail to parse.
- Right-to-left word ordering frequently gets reversed or scrambled during text extraction.
- Connected letter ligatures and diacritics (tashkeel/aerab) are often dropped or misread.
- Most OCR tools lack native training data for Urdu publications, madrasa books, and Arabic manuscripts.
Native Nastaliq & Naskh Recognition
Specialized optical recognition trained specifically on diagonal Urdu and curved Arabic scripts.
Preserved RTL Word Order
Maintains correct right-to-left reading flow without flipped punctuation or inverted phrases.
Searchable Dual-Layer PDF
Embeds invisible Unicode text layers beneath original Arabic and Urdu scan pages.
Multi-Page Book Processing
Digitize entire Arabic and Urdu books, Islamic manuscripts, and historical archives up to 1GB.
Developer API for RTL Text
Process Arabic and Urdu documents programmatically via REST API with clean UTF-8 output.
Frequently Asked Questions
Why do standard OCR tools fail on Urdu Nastaliq?
Urdu is written in the Nastaliq calligraphic style, where letters connect diagonally rather than horizontally. FastOCR uses models built specifically to recognize these cursive ligature shapes.
Can I paste the extracted Urdu/Arabic text directly into ChatGPT or Claude?
Yes. FastOCR outputs standard UTF-8 text with correct RTL sequence, so LLMs can read and translate it without character corruption.
Is there a REST API for Arabic and Urdu OCR?
Yes. FastOCR provides a developer REST API at api.fastocr.org with full support for Arabic and Urdu Nastaliq text extraction.
Is FastOCR free for Arabic and Urdu image scans?
Yes. Single-image OCR for Urdu and Arabic is completely free with no registration required.
Need Multi-Page PDF OCR or Batch Processing?
Extract text from scanned PDFs, translate into 65+ languages, or process up to 25 files at once on the main FastOCR engine.
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