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Extract tables from PDF to Markdown, with review flags
Created by
lintlab
Pulls every table out of a public PDF as a Markdown table, read from the PDF's own table tags or rebuilt from column alignment. Each table gets a confidence score and a needsReview flag (low confidence, rows with missing cells, or one column), and each document a tableReport count, so you know which tables to check by hand. Pay per event: $0.003 per PDF processed; OCR is off in this example.
PDF to Markdown & Text Extractorlintlab/pdf-to-markdown
PDF URL
HTTP
Pages
Processed
+2 fieldsTextNumberBooleanListObject
Input
PDF URLs(required)
url:https://www.w3.org/WAI/WCAG21/working-examples/pdf-table/table.pdf
Detect tables:true
OCR mode:off
Output fields
PDF URL
HTTP
Pages
Processed
Tables
Error
Sign up on Apify01
Create your Apify account to access the PDF to Markdown & Text Extractor.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
