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PDF table extractor: tables from a government form

Extracts text and detected tables from the first two pages of the public IRS W-9 form.

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PDF Extractor: PDF to Text, Tables & Metadata
PDF Extractor: PDF to Text, Tables & Metadataucchiii/pdf-extractor
Url
Page
Char count
Scanned
+3 fields
Text
Number
Boolean
List
Object

Input

PDF URLs:https://www.irs.gov/pub/irs-pdf/fw9.pdf
Pages:1-2
Extract tables:true
Output mode:perPage

Output fields

Url
Page
Char count
Scanned
Text
Tables
Error

How it works

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The PDF Extractor: PDF to Text, Tables & Metadata Actor is ready to run with the inputs already set for "PDF table extractor: tables from a government form". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

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The PDF Extractor: PDF to Text, Tables & Metadata Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, pages, and more, to match your specific use case.

Receive the "PDF table extractor: tables from a government form" 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, char count, and more.

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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "PDF table extractor: tables from a government form" task via API.

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