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Extract public PDF text for a RAG knowledge base

Extract the text layer from one public PDF for later search or RAG preparation. Check status and page limits, then export JSON. No OCR, embeddings or question answering. Listed event cost for 1 successful document: $0.008 ($0.005/start + $0.003/document). Run compute is included; post-run data access can incur platform fees. Postman: https://documenter.getpostman.com/view/59106431/2sBYHUSfLz

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PDF Text Extractor: URL to Text
PDF Text Extractor: URL to Textdatalantern/pdf-text-extractor
PDF link
Status
Title
Pages
+5 fields
Text
Number
Boolean
List
Object

Input

PDF links(required):https://arxiv.org/pdf/1706.03762
Output:documents
Maximum pages per PDF:20
Maximum file size (MB):10

Output fields

PDF link
Status
Title
Pages
Words
Created
Size (bytes)
Note
Text

How it works

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

Start the "Extract public PDF text for a RAG knowledge base" task

The PDF Text Extractor: URL to Text Actor will start running based on the input automatically. You can also change all the input fields, like PDF links, output, and more, to match your specific use case.

Receive the "Extract public PDF text for a RAG knowledge base" 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 PDF link, status, title, 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 "Extract public PDF text for a RAG knowledge base" task via API.

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