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