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Dockerfile

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+FROM python:3.10
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI, UploadFile, File
+from fastapi.responses import JSONResponse
+from paddleocr import PaddleOCR
+import numpy as np
+from PIL import Image
+from io import BytesIO
+import requests
+
+app = FastAPI(title="PaddleOCR API", description="OCR via URL or File Upload")
+
+ocr = PaddleOCR(use_angle_cls=True, lang='en')
+
+def run_ocr(image_bytes):
+    img = Image.open(BytesIO(image_bytes)).convert("RGB")
+    result = ocr.ocr(np.array(img), cls=True)
+
+    parsed_texts = []
+    outputs = []
+
+    for line in result:
+        for box, (text, conf) in line:
+            parsed_texts.append(text)
+            outputs.append({
+                "text": text,
+                "confidence": float(conf),
+                "bounding_box": [[float(x), float(y)] for x, y in box]
+            })
+
+    final_text = " ".join(parsed_texts)
+
+    return {
+        "results": outputs,
+        "parsedText": parsed_texts,
+        "finalText": final_text
+    }
+
+@app.get("/ocr")
+async def ocr_url(url: str):
+    try:
+        img_data = requests.get(url, timeout=10).content
+        data = run_ocr(img_data)
+        return JSONResponse({"success": True, **data})
+    except Exception as e:
+        return JSONResponse({"success": False, "error": str(e)}, status_code=400)
+
+@app.post("/ocr")
+async def ocr_buffer(file: UploadFile = File(...)):
+    try:
+        image_bytes = await file.read()
+        data = run_ocr(image_bytes)
+        return JSONResponse({"success": True, **data})
+    except Exception as e:
+        return JSONResponse({"success": False, "error": str(e)}, status_code=400)

requirements.txt

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+fastapi
+uvicorn
+paddleocr
+paddlepaddle-lite
+numpy
+Pillow
+requests
+python-multipart