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This function allows you to extract text from specific pages of a PDF document. It’s useful to focus on particular sections of a document without having to process the entire file, saving time and resources.
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Fields to Fill In:
  • Upload the file or PDF link: Provide a link to a publicly accessible PDF file. Alternatively, you can use the result of the “Upload File” user input to extract data from files stored on your computer.
  • Specify the Pages: Indicate 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 specified pages will be extracted.

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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 Sector Information: Makes it easier to collect information 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 PDF documents extracted through Tess AI has a size limitation.Training cannot exceed 80,000 words. Therefore, make sure 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.

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Implementation Examples

Analysis of Book Sections

A user uploads a book PDF and specifies that only the pages from chapter 3 should be read to focus on a specific topic.

Consulting Contract Clauses

A lawyer uses a fixed link to a contract and extracts only the pages containing clauses of interest for quick review.
“Read PDF Selected Pages” is a valuable step in Tess AI to extract text from specific pages of PDF documents, enabling more targeted and efficient analysis of relevant information without needing to process entire documents.