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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 subprocess
# Initialize FastAPI app
app = FastAPI()
def install_tesseract():
try:
subprocess.run(['apt-get', 'update'], check=True)
subprocess.run(['apt-get', 'install', '-y', 'tesseract-ocr'], check=True)
except subprocess.CalledProcessError as e:
print(f"Error installing Tesseract: {e}")
install_tesseract()
# Home route
@app.get("/", response_class=HTMLResponse)
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;
}
pre {
background-color: #f4f4f4;
padding: 10px;
border-radius: 5px;
white-space: pre-wrap;
word-wrap: break-word;
}
</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)
@app.post("/upload_image/")
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)
# Convert image to base64 for displaying in HTML
import base64
buffered = BytesIO()
img.save(buffered, format="PNG")
img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
# HTML response with image and extracted text
html_response = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Extracted Text</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;
}}
pre {{
background-color: #f4f4f4;
padding: 10px;
border-radius: 5px;
white-space: pre-wrap;
word-wrap: break-word;
}}
.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;
}}
</style>
</head>
<body>
<div class="container">
<h1>Extracted Text</h1>
<p>Here is the text extracted from the image you uploaded:</p>
<img src="data:image/png;base64,{img_str}" alt="Uploaded Image" style="max-width: 100%; margin-bottom: 20px;">
<pre>{extracted_text}</pre>
<form action="/" method="get">
<button class="process-button" type="submit">Upload Another Image</button>
</form>
</div>
</body>
</html>
"""
return HTMLResponse(content=html_response)
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