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Extract text and metadata from PDF files

Downloads three PDF URLs and extracts each file's full embedded text plus metadata - title, author, page count, creation date - and a per-page text breakdown. No OCR, so scanned image-only PDFs return empty text. Replace urls with your own direct PDF links (reports, invoices, contracts).

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PDF Text Extractor
PDF Text Extractorparsebird/pdf-text-extractor
File Name
Title
Author
Pages
+4 fields
Text
Number
Boolean
List
Object

Input

PDF URLs(required):https://www.orimi.com/pdf-test.pdf+2
Include per-page text:true
Convert to Markdown:false

Output fields

File Name
Title
Author
Pages
PDF Version
File Size (bytes)
URL
Error

How it works

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

Start the "Extract text and metadata from PDF files" task

The PDF Text Extractor Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, include per-page text, and more, to match your specific use case.

Receive the "Extract text and metadata from PDF files" 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 file name, title, author, 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 text and metadata from PDF files" task via API.

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