Pricing

$10.00 / 1,000 pdf extracteds

PDF Text & Table Extractor — PDF URL to Structured JSON

Extract text and tables from PDF files. Send PDF URLs; get JSON back with per-page text, detected tables as row arrays, page count and metadata. Deterministic parsing, no model inference. Docs: https://toolkitlabs.org/?s=apify-pdf

Pricing

$10.00 / 1,000 pdf extracteds

Rating

0.0

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Developer

Toolkit Labs

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Bookmarked

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Monthly active users

2 days ago

Last modified

PDF Text & Table Extractor — PDF URL to Structured JSON API

Below, you can find a list of relevant HTTP API endpoints for calling the PDF Text & Table Extractor — PDF URL to Structured JSON Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/actors/toolkitlabs~pdf-text-tables/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/actors/toolkitlabs~pdf-text-tables/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET
https://api.apify.com/v2/actors/toolkitlabs~pdf-text-tables?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the PDF Text & Table Extractor — PDF URL to Structured JSON API programmatically via the Apify API.

You can choose from:

PDF Text & Table Extractor — PDF URL to Structured JSON API in Python

PDF Text & Table Extractor — PDF URL to Structured JSON API in JavaScript

PDF Text & Table Extractor — PDF URL to Structured JSON API through CLI

PDF Text & Table Extractor — PDF URL to Structured JSON OpenAPI definition

You can start PDF Text & Table Extractor — PDF URL to Structured JSON with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The PDF Text & Table Extractor — PDF URL to Structured JSON is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the PDF Text & Table Extractor — PDF URL to Structured JSON run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

PDF Text & Table Extractor (pdfplumber, batch URLs)

gochujang/pdf-text-extractor

Download any PDF by URL and extract clean per-page text + detected tables (as 2D arrays) + document metadata (title/author/created/modified). Powered by pdfplumber. Batch up to 50 PDFs. $0.01 per PDF + $0.0005 per page.

Hojun Lee

142

PDF Text Extractor — tables, text and data to clean JSON

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Extract every table from PDF files into clean, header-mapped JSON rows. Built for AI agents, data pipelines, and spreadsheet workflows. Pay per document processed.

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PDF Text Extractor — Structured Tables, Markdown & Metadata

nuhemugames/pdf-text-table-extractor

Extract text from PDF URLs at scale: full text, per-page text, real structured tables (rows and columns as JSON, not text lines), document metadata and clean Markdown for LLM/RAG. The table extraction generic PDF text extractors don't have. No credentials needed.

kuon

Image OCR Extractor

gochujang/image-ocr-extractor

Extract text from images (PNG, JPG, WebP, TIFF) using Tesseract OCR. Batch up to 50 images, multi-language, confidence scores.

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PDF → RAG Chunks (Token-Aware, Vector-Ready)

gochujang/pdf-rag-chunker

Download any PDF and chunk into semantically coherent segments ready for embedding/RAG. Configurable chunk size + overlap. Returns one row per chunk with page, char count, token estimate. Feed directly into OpenAI text-embedding-3 / Voyage / Cohere. $0.005 per PDF + $0.0002 per chunk.

Hojun Lee

Extractor from PDF URL

zayn_0001/extractor-from-pdf-url

Extract text and tables from PDFs in a clear, readable format. Provides well-organized tables and cleans up messy spacing, making PDF content easy to view, copy, or share—directly from a PDF link.

Muhammad Zain Abid

PDF Extractor - Text, Tables, Metadata & Links

scrapesage/pdf-extractor

Extract text, per-page content, metadata, links, outline and best-effort tables from PDF files by URL. Pure pdfjs - no browser, no OCR service, cents per document.

Scrape Sage

PPTX Text Extractor — PowerPoint, Google Drive, Notes

gochujang/pptx-text-extractor

Extract text, speaker notes, and slide structure from PowerPoint (.pptx) files at any URL — including Google Drive and Dropbox links. Batch up to 50 files. Perfect for LLM/RAG pipelines. No API key. $0.02/file + $0.001/slide.

Hojun Lee

PDF Text Extractor - Markdown, Tables & RAG Chunks

readable_slash/pdf-text-extractor-structured

Extract text from PDF to clean Markdown with real tables, headings and lists. Bulk PDF to text conversion for RAG, LLM and vector database ingestion, with optional context-aware chunking. Detects scanned PDFs, handles encrypted files and broken URLs. Pay only for documents extracted.

HJL Analytics and AI development

PDF Text Extractor — Markdown, Tables, OCR & RAG Chunks

nanare-sudo/pdf-text-extractor-rag

Extract text, GFM Markdown, tables (2D arrays + CSV) and heading-aware RAG chunks with page anchors from PDFs. URLs, base64 upload, key-value store, password-protected PDFs, page ranges, OCR fallback (eng/deu/fra/spa) only for pages without a text layer. Failed PDFs are never charged.

Leonardo Berisha

PDF OCR

ely_source/pdf-ocr

Read scanned PDFs and get clean text per page, with a confidence score for each one. Pages that already carry a text layer are read directly and never billed as OCR, so mixed batches come back faster, more accurately and cheaper.

Alexandre Leclerc