app.py

from fastapi import FastAPI, UploadFile, File, Request
from fastapi.responses import JSONResponse
import requests
import easyocr
from PIL import Image
import numpy as np
from io import BytesIO

app = FastAPI(title="OCR API", description="OCR through URL or Buffer")

reader = easyocr.Reader(['en'], gpu=False)

def run_ocr(image_bytes):
    img = Image.open(BytesIO(image_bytes)).convert("RGB")
    img_np = np.array(img)
    results = reader.readtext(img_np)

    parsed = []
    output = []

    for box, text, conf in results:
        parsed.append(str(text))
        output.append({
            "text": str(text),
            "confidence": float(conf),
            "bounding_box": [[float(x), float(y)] for x, y in box]
        })

    final_text = " ".join(parsed)

    return {
        "results": output,
        "parsedText": parsed,
        "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)