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Extract plain text from PDF files

Get the plain text of PDF files without Markdown marks, one row per document, with the page count and the pages that had no text layer. The example reads a public two-column paper PDF; replace it with your own PDFs.

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PDF to Markdown: Word, Excel, PowerPoint & RAG Chunks
PDF to Markdown: Word, Excel, PowerPoint & RAG Chunkstamatama/doc-to-markdown
File
Type
Title
Pages
+7 fields
Text
Number
Boolean
List
Object

Input

Document URLs
url:https://raw.githubusercontent.com/py-pdf/sample-files/main/026-latex-multicolumn/multicolumn.pdf
Output format:text

Output fields

File
Type
Title
Pages
Charged pages
Characters
Chunk
From page
To page
Error
URL

How it works

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The PDF to Markdown: Word, Excel, PowerPoint & RAG Chunks Actor is ready to run with the inputs already set for "Extract plain text 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 plain text from PDF files" task

The PDF to Markdown: Word, Excel, PowerPoint & RAG Chunks Actor will start running based on the input automatically. You can also change all the input fields, like document urls and output format, to match your specific use case.

Receive the "Extract plain text 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, type, 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 plain text from PDF files" task via API.

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