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.
Start detecting signatures in seconds
In Action
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Detection Results
Signatures Found
9
Avg. Confidence
76%
Position: (202, 404) to (534, 555)
Position: (850, 531) to (1351, 706)
Position: (178, 931) to (570, 1087)
Position: (219, 1106) to (648, 1320)
Position: (184, 1310) to (647, 1418)
Position: (857, 737) to (1298, 891)
Position: (197, 558) to (619, 702)
Position: (912, 411) to (1172, 525)
Position: (231, 785) to (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']}")Credits
Number of extractions
100,000
Total price
$10.00
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.
