Free template: use AI to automatically extract your PDF data
Automatically extract your PDF data without writing a single line of code.
The Parabola Team
Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
- Set up your data source by creating a new Parabola flow and uploading your PDF files.
- Prepare your PDF documents for extraction. Configure any necessary preprocessing steps.
- Use Parabola's AI extraction tools to define your data capture rules. This step lets you identify and pull key information from your documents.
- Apply any additional processing needed, such as text analysis or field standardization.
- Generate your results by previewing the extracted data and running your automated flow. Once set up, this process will handle new PDFs automatically.
How to use PDFs with Parabola
Parabola's PDF handling capabilities enable you to extract and transform data from PDF documents efficiently.
- Automatic text extraction from both searchable and scanned PDFs
- Flexible parsing options for structured and unstructured PDF content
- Batch processing capabilities for multiple PDF files
Retrieving data from PDFs
Parabola's PDF data extraction functionality enables you to convert PDF documents into structured, analyzable data. The platform can handle various PDF formats and layouts, making it versatile for different business needs.
Key features
- Text and table extraction
- Multi-page document support
- Pattern recognition
- Structured data output
- Batch processing capability
How to use
- Add the Pull from PDF file step to your Flow
- Upload your PDF file
- Configure extraction settings, including column names and keys
- Run the step to extract the data
- Add examples and fine tune your extraction settings for more accurate parsing
Applying AI to extract your data
The Extract with AI step in Parabola leverages large language models to intelligently parse and extract specific values from your API data. This powerful feature can understand context and identify patterns in your data, making it ideal for processing unstructured or semi-structured information.
Key features
- Natural language processing capabilities
- Custom extraction rules
- Multi-format support
- Batch processing
How to use
- Add the Extract with AI step after your pull step
- Define the columns you want to extract data from
- Create new columns specifying the data you want to extract
- Add additional fine-tuning to further tailor the extraction
- Run a test extraction to verify results
- Adjust settings as needed for optimal results
Practical use cases and examples
Here are a few examples of how you can use Parabola to automatically extract data from PDFs:
Extracting data from invoices
Many businesses receive invoices in PDF format from their vendors or customers. By using Parabola's Pull from PDF fi anExtract with AI steps, you can automatically extract key data from these invoices, such as the total amount, due date, and line item details. This can help you streamline your accounts payable and receivable processes.
Analyzing financial reports
Organizations often receive financial reports in PDF format, such as quarterly earnings reports or annual reports. Using Parabola, you can extract the key financial metrics from these reports, apply custom calculations, and visualize the data to gain deeper insights into the organization's performance.
Automating data entry from forms
Many organizations use PDF forms to collect data from customers, employees, or other stakeholders. By using Parabola's Pull from PDF fi anExtract with AI steps, you can automatically extract the data from these forms and integrate it into your existing systems, reducing the need for manual data entry.
In conclusion, using Parabola to automatically extract data from PDF files can save you time, reduce errors, and improve the accuracy of your data-driven processes. By leveraging the power of AI-powered data extraction, you can unlock valuable insights and streamline your workflows.
