Quickstart: PDF Text & Table Extractor: OCR, DOCX, PPTX, XLSX t

Created by

daehwan kim

Actor

PDF Text & Table Extractor: OCR, DOCX, PPTX, XLSX to Data + RAG

Extract text from PDF, DOCX, PPTX, HTML, TXT, MD and EML by URL. One document in, hundreds of rows out: typed elements (titles, paragraphs, lists, tables), RAG-ready chunks and a per-document summary. Unofficial wrapper around unstructured (Apache-2.0).

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PDF Text & Table Extractor: OCR, DOCX, PPTX, XLSX to Data + RAGntriqpro/pdf-text-extractor

Row type

Source URL

File type

Verdict

+19 fields

Input

Document URLs:https://arxiv.org/pdf/1706.03762+1

Parsing strategy:auto

Chunking mode:title

Include detailed element rows:false

Expand tables into TableRow elements:true

OCR scanned documents & images:true

Output fields

Row type

Source URL

File type

Verdict

Verdict code

Page

Sheet

Element type

Text

Chars

Chunk #

Element #

Table row #

Elements

Table rows

Chunks

Pages

Tables

Words

Languages

Collected at

Notice

Message

How it works

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The PDF Text & Table Extractor: OCR, DOCX, PPTX, XLSX to Data + RAG Actor is ready to run with the inputs already set for "Quickstart: PDF Text & Table Extractor: OCR, DOCX, PPTX, XLSX t". 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 Text & Table Extractor: OCR, DOCX, PPTX, XLSX to Data + RAG Actor will start running based on the input automatically. You can also change all the input fields, like document urls, parsing strategy, and more, to match your specific use case.

Receive the "Quickstart: PDF Text & Table Extractor: OCR, DOCX, PPTX, XLSX t" 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 row type, source url, file type, and more.