Identify if a document contains a table using AI

Below is a free classifier to identify if a document contains a table. Just upload your image, and our AI will predict if it contains a table - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-document-contains-a-table", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-a-document-contains-a-table/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-a-document-contains-a-table/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if it contains a table.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Contains Table and Does Not Contain Table.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it contains a table).

Whether you're just curious or building if a document contains a table detection into your application, we hope our classifier proves helpful.

Need to identify if a document contains a table at scale?

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

Document Indexing: This use case involves automating the indexing of documents within an organization's document management system. By identifying whether a document contains a table, the system can categorize and tag documents more effectively, improving searchability and retrieval speed.

Financial Reporting Analysis: Financial institutions often deal with reports laden with tables. By employing the table identifier, analysts can quickly extract relevant financial data from reports, enabling more efficient trend analysis and decision-making based on critical numbers.

Invoice Processing Automation: Businesses can leverage this function to streamline invoice processing by identifying invoices that contain tables of items or services. This allows for automatic extraction of line-item data, facilitating quicker processing and reducing manual entry errors.

Contract Management: In legal and compliance departments, contracts often contain tables detailing terms and conditions. By identifying these tables, software can flag important clauses, ensuring that stakeholders can easily access and review critical information without manually scanning entire documents.

Research Paper Evaluation: Academic institutions can utilize this function to assess research papers for the presence of tables, which often contain key experimental data and results. This identification can create a more efficient review process by directing evaluators to the most critical sections of the papers.

Quality Assurance in Data Entry: Businesses can implement the table identifier in systems where data entry occurs. By checking for the presence of tables, the system can alert users to potential data structure errors, thereby enhancing the overall quality and consistency of entered data.

Content Conversion and Accessibility: In digital content management platforms, this function helps identify tables in documents that need to be converted into accessible formats. By pinpointing these tables, organizations can ensure that essential data is compliant with accessibility standards, making information available to all users.