
**Input Fields: **PDF file upload - Upload the PDF or image you want to extract information from. **Output Result: **The extracted text will be presented in a typed format, with high fidelity to the original content.
Use Cases:
Digitization of Archived Documents
Convert large volumes of paper-archived documents into digital formats, making it easier to access and search for information. With the help of AI, you can prepare summaries and obtain analyses of these materials.
Contract Information Extraction
Use AI to extract terms and conditions from contracts stored in PDF, integrating them into contract management systems and even creating methodologies for contract comparison and fraud detection. In this case, the content can be screenshots, for example.
Insurance Claims Processing
Insurance companies can implement AI for OCR to quickly digitize and process claims documents, speeding up response time and improving customer satisfaction.
Text Extraction from Images
With this step you can extract any information and data contained in images and, with the help of AI models, you can prepare summaries, structure insights, and use the extracted text for any necessary analysis.
Limitations:
- The conversion quality may vary depending on the quality of the original document and the complexity of the layout.
- Training cannot exceed the token limit of the selected LLM. This can range from 10,000 to 140,000 words. Therefore, make sure the selected PDF is within this limit. If you have a PDF that exceeds the limit, consider splitting it into smaller parts.