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hgner
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🇹🇷 We trained a 1B OCR model specifically for Turkish enterprise documents. **Werea-DocOCR-1B v2** The result surprised us: LightOnOCR-2 base → **64.2% CER** Werea-DocOCR v1 → **~8.1% CER** Werea-DocOCR v2 → **0.15% CER** 🚀 Evaluated on a held-out 72-page test set across 12 Turkish document types and 3 different capture conditions. 📄 12 Turkish enterprise document types 🧪 12,960 synthetic training pages 📱 Digital + scanned + phone photos 📊 Tables → structured Markdown ⚙️ Full-parameter fine-tuning 🖥️ Trained on a single RTX 3090 It handles: • e-Invoices • rental contracts • bank receipts • payroll documents • insurance policies • vehicle documents • official correspondence • trade registry documents • SGK-style tables • and more. **Model 🤗** https://huggingface.co/Werea-co/Werea-DocOCR-1B **Dataset 📚** https://huggingface.co/datasets/Werea-co/werea-tr-doc-ocr-enterprise-v2 **Werea 🇹🇷** https://huggingface.co/Werea-co We're building open AI models from Türkiye. This is just the beginning. #HuggingFace #OCR #DocumentAI #TurkishAI #OpenSourceAI #ComputerVision
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