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PDF Text Extractor

Try for free

Extract text, metadata, and page-by-page content from PDF files. Provide PDF URLs and get structured JSON with full text, per-page text, page count, author, title, creation date, and more. Export as JSON, CSV, or Excel. No browser or proxy needed.

Pricing

from $1.80 / 1,000 pdf extracteds

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

395

Total users

109

Monthly active users

8 days ago

Last modified

Categories

Developer tools

You can access the PDF Text Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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PDF Text Extractor - Extract Text & Metadata from PDF Files OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for PDF Text Extractor from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

PDF Text Extractor API in Python

PDF Text Extractor API in JavaScript

PDF Text Extractor API through CLI

PDF Text Extractor API

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