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PDF Text Extractor for LLMs: example run

Ready-made run of PDF Text Extractor for LLMs: text per page from PDF URLs with the example input from the README. Change the input and run.

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Extract Text From PDF: text per page for LLMs and RAG
Extract Text From PDF: text per page for LLMs and RAGsteadydata/pdf-text-extractor
URL
Page
Pages
Text
+5 fields
Text
Number
Boolean
List
Object

Input

PDF URLs(required):https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf
One row per file instead of per page:false
Max pages per file:200

Output fields

URL
Page
Pages
Text
Chars
Title
Status
Error code
Error

How it works

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The Extract Text From PDF: text per page for LLMs and RAG Actor is ready to run with the inputs already set for "PDF Text Extractor for LLMs: example run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "PDF Text Extractor for LLMs: example run" task

The Extract Text From PDF: text per page for LLMs and RAG Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, one row per file instead of per page, and more, to match your specific use case.

Receive the "PDF Text Extractor for LLMs: example run" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, page, pages, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "PDF Text Extractor for LLMs: example run" task via API.

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