This function allows you to extract text from specific pages of a PDF document. It is useful for focusing on particular sections of a document without having to process the entire file, saving time and resources.
Input Fields:
Insert the PDF file or link: Provide a link to a publicly accessible PDF file. Alternatively, you can use the result from the user input "Upload File" to extract data from files stored on your computer.
Specify the Pages: Indicate which pages of the PDF you want to extract text from. You can enter a single page number, a range, or a comma-separated list.
Output Result:
The text from the specified pages will be extracted.
Use Cases:
1. Analysis of Specific Chapters: Ideal for students and researchers who need to analyze specific chapters of academic books.
2. Review of Legal Documents: Allows lawyers to quickly review specific clauses in lengthy contracts.
3. Compilation of Sectoral Information: Facilitates the collection of information from certain sections of annual reports or technical documents for market analysis.
Limitations: It is important to keep in mind that training your AI based on PDF documents extracted via Tess AI has a size limitation.
Training cannot exceed 80,000 words. Therefore, make sure that the selected PDF is within this limit. If you have a PDF with more than 80,000 words, consider splitting it into smaller parts or selecting only the most relevant sections.
Implementation Examples:
Case 1: Analysis of Book Sections: A user uploads a PDF of a book and specifies that only the pages of chapter 3 should be read in order to focus on a specific topic.
Case 2: Querying Contract Clauses: A lawyer uses a fixed link for a contract and extracts only the pages containing clauses of interest for a quick review.
Conclusion: In summary, the "Read PDF Selected Pages" function is a valuable step in Tess AI for extracting text from specific pages of PDF documents, enabling a more targeted and efficient analysis of relevant information without having to process entire documents.
