Identify banks by logo
using AI
Below is a free classifier to identify banks by logo. Just upload your image, and our AI will predict what bank the logo belongs to - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("banks-by-logo", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/banks-by-logo/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/banks-by-logo/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what bank the logo belongs to.
This pretrained image model uses a Nyckel-created dataset and has 30 labels, including Anz, Bank Of America, Barclays, Bb&T, Bbva, Capital One, Charles Schwab, Chase, Citi and Citizens Bank.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what bank the logo belongs to).
Whether you're just curious or building banks by logo detection into your application, we hope our classifier proves helpful.
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Need to identify banks by logo at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Verification: Banks can use the 'banks by logo' identifier to verify the authenticity of their branding in advertisements and promotions. This ensures that only official logos are used, preventing brand dilution and maintaining a consistent image across all marketing materials.
- Fraud Detection: Financial institutions can implement the logo identification function to detect fraudulent activities where scammers use fake logos to mislead customers. By cross-referencing logos against a database, banks can alert users to potential scams featuring counterfeit branding.
- Customer Experience Enhancement: This function can be integrated into customer service applications where users can take a picture of a logo for assistance. The system would identify the bank and provide tailored information or help, improving user engagement and satisfaction.
- Social Media Monitoring: Marketing teams can leverage the logo identification capabilities to monitor social media platforms for unauthorized or incorrect use of their logos. This enables banks to address violations quickly and protect their brand integrity.
- Partnership and Sponsorship Identification: During events or partnerships, the function can be used to identify logos for sponsorship visibility. This helps banks assess brand exposure and engagement with target demographics at events or through media coverage.
- Competitive Analysis: Banks can utilize the logo identification tool to analyze competitors’ branding efforts. By tracking usage of competitor logos in various media, banks can gain insights into market trends and adjust their strategies accordingly.
- Physical Security Measures: The function can be deployed in security systems where cameras recognize bank logos in real-time. This allows security teams to monitor and identify legitimate bank premises amidst potential counterfeit establishments, thereby enhancing overall security.