This feature lets you extract text contained in PDF documents or images into readable text. Using advanced OCR (Optical Character Recognition) technologies, it’s possible to accurately analyze and interpret the textual content of images and PDFs, even in low-quality conditions. And with the help of AI, you can train models to use this information as references to structure summaries, analyses, and strategic materials.

Form Fields:
PDF file upload: Upload the PDF or image from which you want to extract the information.
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. And with the help of AI, prepare summaries and get analyses of these materials.
Extraction of Information from Contracts: Use AI to extract terms and conditions from contracts stored in PDF, integrating them into contract management systems and even creating methodologies for comparison and detecting contract fraud.
Insurance Claim Processing: Insurance companies can implement AI for OCR to quickly scan and process claim documents, speeding up response time and improving customer satisfaction.
Text extraction from images: With this step you can extract 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 quality of the conversion may vary depending on the quality of the original document and the complexity of the layout.
Training can’t exceed the token limit of the selected LLM. This can range from 10,000 to 140,000 words. So make sure the selected PDF is within this limit. If you have a PDF that goes beyond the limit, consider splitting it into smaller parts.
Conclusion:
The Google OCR PDF and Images feature offers a powerful and efficient solution to turn physical or digital documents into editable text, using artificial intelligence to ensure accuracy and easy integration with other digital systems. This tool is essential for organizations that want to improve document management and information accessibility, where beyond extraction you can create summaries and use the result as a reference to produce new materials or document internal processes, with the help of AI.