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| from fastapi import FastAPI, File, UploadFile | |
| from fastapi.responses import HTMLResponse | |
| from io import BytesIO | |
| import pytesseract | |
| from PIL import Image | |
| import cv2 | |
| import numpy as np | |
| # Initialize FastAPI app | |
| app = FastAPI() | |
| # Inform pytesseract where Tesseract is installed | |
| pytesseract.pytesseract.tesseract_cmd = "/usr/local/bin/tesseract" | |
| # Serve static files (images, etc.) | |
| # app.mount("/static", StaticFiles(directory="static"), name="static") # Not needed if you're not saving the images | |
| # Home route | |
| async def home(): | |
| html_content = """ | |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Image to Text Converter</title> | |
| <style> | |
| body { font-family: Arial, sans-serif; background-color: #000000; color: #333; margin: 0; padding: 0; display: flex; justify-content: center; align-items: center; height: 100vh; } | |
| .container { text-align: center; background: #fff; padding: 30px; border-radius: 10px; box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.1); width: 90%; max-width: 600px; } | |
| h1 { font-size: 24px; color: #4CAF50; } | |
| p { color: #666; } | |
| .upload-box { margin: 20px auto; padding: 30px; border: 2px dashed #ccc; border-radius: 10px; background-color: #f9f9f9; cursor: pointer; position: relative; } | |
| .upload-box:hover { background-color: #f4f4f4; } | |
| .upload-box span { color: #888; font-size: 14px; display: block; } | |
| .upload-box input[type="file"] { position: absolute; width: 100%; height: 100%; top: 0; left: 0; opacity: 0; cursor: pointer; } | |
| .process-button { background-color: #4CAF50; color: white; padding: 10px 20px; border: none; border-radius: 5px; cursor: pointer; font-size: 16px; } | |
| .process-button:hover { background-color: #45a049; } | |
| .result-box { margin-top: 20px; text-align: left; } | |
| .result-box img { max-width: 100%; border-radius: 5px; margin-top: 10px; } | |
| .actions { margin-top: 20px; } | |
| .actions button { margin: 5px; background-color: #4CAF50; color: white; padding: 8px 16px; border: none; border-radius: 5px; cursor: pointer; font-size: 14px; } | |
| .actions button:hover { background-color: #45a049; } | |
| pre { background-color: #f4f4f4; padding: 10px; border-radius: 5px; white-space: pre-wrap; word-wrap: break-word; } | |
| .error { color: red; font-weight: bold; margin-bottom: 20px; } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <h1>Image to Text Converter</h1> | |
| <p>Quickly extract text from your uploaded images!</p> | |
| <form action="/upload_image/" method="POST" enctype="multipart/form-data"> | |
| <div class="upload-box"> | |
| <span>Drag & Drop the Images<br>Or Click to Browse</span> | |
| <input type="file" name="image" accept="image/*" id="image-file"> | |
| </div> | |
| <button class="process-button" type="submit">Upload Image</button> | |
| </form> | |
| </div> | |
| </body> | |
| </html> | |
| """ | |
| return HTMLResponse(content=html_content) | |
| # Upload image route (image is processed directly in memory) | |
| async def upload_image(image: UploadFile = File(...)): | |
| # Read the image file directly into memory | |
| image_bytes = await image.read() | |
| image_stream = BytesIO(image_bytes) | |
| # Open the image with PIL (Pillow) | |
| img = Image.open(image_stream) | |
| # Process the image and extract text | |
| extracted_text = pytesseract.image_to_string(img) | |
| return {"extracted_text": extracted_text} | |