Identify if receipt is upside down using AI

Below is a free classifier to identify if receipt is upside down. Just upload your image, and our AI will predict if the receipt is upside down - in just seconds.

if receipt is upside down identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-receipt-is-upside-down", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-receipt-is-upside-down/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/if-receipt-is-upside-down/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the receipt is upside down.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Receipt Upright and Receipt Upside Down.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the receipt is upside down).

Whether you're just curious or building if receipt is upside down detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if receipt is upside down at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Receipt Verification: This use case focuses on validating the orientation of uploaded receipts in expense management applications. By identifying whether a receipt is upside down, the system can prompt users to correct the orientation before submission, ensuring accurate data extraction and reducing processing errors.

  • Automated Data Entry: In accounting software, this function can streamline the receipt capture process. By automatically recognizing when a receipt is upside down, the software can flag or rotate it for correct extraction of financial data, which enhances efficiency and reliability in bookkeeping.

  • Mobile Scanning Applications: For mobile applications that allow users to capture receipts on-the-go, this identifier acts as a quality check. It ensures that receipts are captured in the correct orientation before the images are processed, improving user experience and reducing the need for users to retake pictures.

  • AI Training Data Preparation: In the development of machine learning models for optical character recognition (OCR), ensuring receipts are correctly oriented increases the quality of training data. This use case uses the upside-down identifier to filter out incorrectly oriented images, thus optimizing the model's accuracy and performance.

  • Point of Sale (POS) Systems: In retail environments, POS systems can use this function to verify the orientation of digital receipts captured during transactions. It ensures that the printed or digital receipt remains readable for customers, which enhances customer satisfaction and reduces refund processing challenges.

  • Receipt Archiving Solutions: For cloud-based archiving services, this identifier helps maintain organized and accessible digital records. By automatically detecting and correcting the orientation of receipts during upload, it ensures that archived documents are always presented correctly for future retrieval and utilization.

  • Customer Support Automation: In customer service applications where customers need to upload receipts for claims or refunds, having the identifier ensures that submission issues are minimized. It can automatically flag incorrectly oriented receipts and prompt users with corrective instructions, thereby improving the overall efficiency of the customer support process.

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