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Extract Text from a PDF URL (Markdown)

Convert a PDF from a URL into clean Markdown text with headings and tables, ready for an LLM or RAG pipeline. Scanned pages are OCR'd automatically. Add more URLs or Word, PowerPoint and image files.

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Extract Text from PDF: OCR, PDF to Text & Markdown
Extract Text from PDF: OCR, PDF to Text & Markdowndata-done-right/pdf-to-text-ocr
FileName
FileType
PageCount
PagesProcessed
+2 fields
Text
Number
Boolean
List
Object

Input

Document URLs(required):https://www.irs.gov/pub/irs-pdf/fw9.pdf
Output format:markdown
Extract tables:true
Max pages per document:3

Output fields

FileName
FileType
PageCount
PagesProcessed
WordCount
Url

How it works

Sign up on Apify or log in

The Extract Text from PDF: OCR, PDF to Text & Markdown Actor is ready to run with the inputs already set for "Extract Text from a PDF URL (Markdown)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract Text from a PDF URL (Markdown)" task

The Extract Text from PDF: OCR, PDF to Text & Markdown Actor will start running based on the input automatically. You can also change all the input fields, like document urls, output format, and more, to match your specific use case.

Receive the "Extract Text from a PDF URL (Markdown)" 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 filename, filetype, pagecount, 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 from a PDF URL (Markdown)" task via API.

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Integrate "Extract Text from a PDF URL (Markdown)" into your workflow

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