Introducing Signature Detection
AI-Powered Signature Detection
Detect and locate signatures in documents with high accuracy. Simple API, pay-as-you-go pricing, and instant results.
In Action
Image Preview

Detection Results
Signatures Found
9
Avg. Confidence
76%
Box: [202, 404, 534, 555]
Box: [850, 531, 1351, 706]
Box: [178, 931, 570, 1087]
Box: [219, 1106, 648, 1320]
Box: [184, 1310, 647, 1418]
Box: [857, 737, 1298, 891]
Box: [197, 558, 619, 702]
Box: [912, 411, 1172, 525]
Box: [231, 785, 595, 872]
import requests
import json
# Your API credentials
API_KEY = "your_api_key_here"
API_URL = "https://signature-detector.com/api/detect"
# Request payload
payload = {
"imageUrl": "https://example.com/document.jpg",
"confidenceThreshold": 0.7
}
# Headers
headers = {
"Content-Type": "application/json",
"x-api-key": f"{API_KEY}"
}
# Make the API request
response = requests.post(API_URL, json=payload, headers=headers)
# Parse the response
if response.status_code == 200:
data = response.json()
print(f"Signatures found: {data['result']['count']}")
print(f"Credits remaining: {data['creditsRemaining']}")
for i, detection in enumerate(data['result']['detections']):
print(f"Signature {i+1}: {detection['confidence']*100:.1f}% confidence")
print(f" Position: ({detection['bbox']['x1']:.0f}, {detection['bbox']['y1']:.0f})")
else:
print(f"Error: {response.status_code} - {response.json()['error']}")Blog

How to Use the Signature Detection API
A comprehensive guide to integrating signature detection into your applications with code examples and best practices.

Introducing Signature Detection API
Detect signatures in documents with AI-powered computer vision. Simple API, accurate results, pay-as-you-go pricing.

Why Automated Signature Detection?
Discover how automated signature detection can transform your document processing workflows and save countless hours.
