PDF to Text Extractor

Upload a PDF → Extract text/content instantly using Python. Clean output for resume parsing, document processing & data scraping workflows.

PythonPyPDF2 / PDFPlumberNext.js FrontendTailwind CSSFlask / FastAPIRender Deployment

Overview

A PDF-to-text converter tool allowing users to upload documents and extract text quickly. Perfect for automation use cases — resume parsing, invoice reading, content extraction and AI preprocessing.

Key Features

Extract text from PDF instantly

Supports single/multi-page PDF

Copy or download extracted text

Works offline and secure

Ideal for resume & invoice parsing

Useful for automation with AI

How it Works

1. User uploads PDF file from browser

2. Backend reads PDF using PDFPlumber/PyPDF2

3. Extracted text is cleaned and processed

4. Output returned to user in UI to copy/download

Use Cases

Resume parsing for HR automation

Extract invoice data for billing

Convert PDFs into clean text

OCR integration upgrades later

Preprocessing documents for AI

Bulk PDF to text workflow

Want to automate PDF processing for your business?

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