app.py

from fastapi import FastAPI, File, UploadFile
from PIL import Image
import pytesseract
import io
import fitz

app = FastAPI()

@app.get("/test")
async def test_api():
    return {"message": "API is working ..."} 

@app.post("/ocr_image")
async def perform_ocr_image(image: UploadFile = File(...)):
    image_data = await image.read()

    image = Image.open(io.BytesIO(image_data))
    text = pytesseract.image_to_string(image, lang='tha+eng')
    return {"text": text}


@app.post("/ocr_pdf")
async def perform_ocr_pdf(image: UploadFile = File(...)):
    image_data = await image.read()

    doc = fitz.open(stream=image_data, filetype="pdf")

    page = doc[0]  # Access the desired page (zero-indexed)

    # Generate a high-quality image of the page
    zoom = 2  # Adjust for better OCR resolution if needed
    mat = fitz.Matrix(zoom, zoom)  # Zoom matrix
    pix = page.get_pixmap(matrix=mat)
    img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)

    # Analyze text orientation with Pytesseract
    #text_orientation = pytesseract.image_to_osd(img)  
    text = pytesseract.image_to_string(img, lang='tha+eng')
    return {"text": text}