This feature lets you extract text from specific pages of a PDF document. It's handy if you want to focus on particular sections, without having to process the whole file, saving time and resources.
Form Fields:
Add PDF file or link: Give a link to a PDF file that's publicly accessible. Alternatively, you can use the result of the "Upload File" user input to extract data from files stored on your computer.
Specify Pages: Select which PDF pages 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 chosen pages will be extracted.
Use Cases:
1. Analysis of Specific Chapters: Perfect for students and researchers who need to analyze specific chapters of academic books.
2. Review of Legal Documents: Lets lawyers quickly review specific clauses in lengthy contracts.
3. Industry Information Compilation: Makes it easy to collect info from certain sections of annual reports or technical documents for market analysis.
Limitations:
It's important to keep in mind that training your AI based on PDFs extracted through Tess AI has a size limitation.
Training can’t go over 80,000 words. So, make sure the PDF you pick is within this limit. If you’ve got a PDF with more than 80,000 words, try splitting it into smaller parts or just pick the most important sections.
Implementation Examples:
Case 1: Book Section Analysis: A user uploads a PDF of a book and chooses to read only the pages from chapter 3 to stay focused on a specific topic.
Case 2: Contract Clause Search: A lawyer uses a direct link to a contract and extracts only the pages with relevant clauses for a quick review.
Conclusion:
The "Read PDF Selected Pages" feature is a handy step in Tess AI for pulling text from specific PDF pages, making it super easy to zero in on what matters most without needing to process the whole file.
