Tools

PDF Text Extractor API

Precision text and metadata retrieval for document automation.

A powerful REST API for extracting structured text and metadata from PDF files using optimised hybrid methods. Supporting page range selection and layout-aware processing.

example.py

import requests

# Extract Specific Page Range with pdfplumber

def extract_pages(file_path, pages):

url = "https://pdf-text-extractor-api.p.rapidapi.com/extract"

files = { "file": open(file_path, "rb") }

data = { "method": "pdfplumber", "pages": pages }

headers = { "X-RapidAPI-Key": "YOUR_KEY" }

response = requests.post(url, files=files, data=data, headers=headers)

return response.json()

45ms

Latency

50MB

Max Files

99.9%

Accuracy

/ Features

Everything you need, nothing you don't

Multi-Method

Choose between PyPDF2 for speed or pdfplumber for complex layout accuracy

Page Ranges

Precise extraction from specific pages or ranges (e.g., 1-3, 5, 10)

Metadata Sync

Automatically extract title, author, and creation metadata alongside text

Batch Processing

Optimised pipeline for handling multiple PDFs simultaneously

/ Optimized for every document type

Hybrid Extraction Engine

Choose the right tool for the job. Our API integrates PyPDF2 for ultra-fast extraction of standard text documents and pdfplumber for complex layouts, forms, and table-heavy PDFs where spatial positioning is critical.

/ Production-ready automation

Enterprise Document Pipeline

Beyond raw text, your application gains access to rich document metadata such as author, creation date, and encrypted status. Use our page-range filtering to reduce egress costs and focus extraction on critical data zones.

/ Built with

Python FastAPI PyPDF2 pdfplumber

Ready to try PDF Text Extractor API?

A powerful REST API for extracting structured text and metadata from PDF files using optimised hybrid methods. Supporting page range selection and layout-aware processing.

/ Product ecosystem