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--- |
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license: apache-2.0 |
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title: Easy-OCR |
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sdk: gradio |
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emoji: 📚 |
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colorFrom: blue |
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colorTo: purple |
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thumbnail: >- |
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https://cdn-uploads.huggingface.co/production/uploads/6495d5a915d8ef6f01bc75eb/TSmoqoWGoatq_GLsau_La.png |
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short_description: GPU-Accelerated OCR |
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--- |
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# Easy‑OCR · ZeroGPU Multilingual PDF Text Extractor |
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**Why this Space?** |
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All the power of GPU‑accelerated OCR, yet you **only pay for GPU seconds you actually use** – thanks to the HuggingFace **ZeroGPU** backend. |
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## 🔑 Key features |
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| Category | Details | |
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|----------|---------| |
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| 💡 On‑demand GPU | `@spaces.GPU` wraps only the OCR phase – choose **native** mode and the app never even touches a GPU. | |
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| 📝 Hybrid extraction | First pulls native PDF text with **pdfplumber**, then OCRs any remaining images with **EasyOCR**. | |
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| 🌍 Multilingual | Pick one or more language codes in the dropdown – the app loads only those EasyOCR models for sharper accuracy and faster warm‑up. | |
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| ⚡ Streaming UX | Text appears page‑by‑page with a live progress bar. | |
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| 📥 Download | One‑click `.txt` export of the full extraction. | |
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| 🛡️ Robust | File‑size guard, CUDA OOM fallback, unsupported‑language warnings. | |
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## 🚀 Deploy your own |
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**Note**: The first OCR call downloads EasyOCR model weights (~200 MB per language group). |
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## 💡 Usage tips |
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* Large PDFs can take several minutes; the GPU reservation duration is `60 s`. |
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* When you know your PDF is **text only**, selecting **native** mode skips GPU altogether for near‑instant results. |
