PDF Data Extractor
A fast browser-based tool to extract text, images, and tables from PDFs for researchers, students, and professionals.

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About This Tool
A tool that converts PDF content into structured data for downstream use.
It extracts text, images, and table data from single or multiple PDFs, with optional OCR for image-based pages, and exports results in TXT, CSV, JSON, or ZIP formats.
Conceptually, the processor parses content streams, identifies blocks of text, embedded images, and tabular structures, and preserves relational cues where possible. OCR can be applied to raster pages to improve coverage while controlling accuracy and noise. Outputs are organized per input document and can be combined into a single archive for convenience.
The intended users include researchers, data scientists, legal teams, and business analysts who need repeatable data capture from documents. Use cases include archiving, data onboarding, evidence extraction, and content analytics. The tool emphasizes data quality, consistency across files, and the ability to batch process large workloads without manual intervention.
Unique value lies in its consolidated extraction across three content types, configurable output formats, and support for password-protected and scanned PDFs. It integrates with data pipelines, enabling programmatic access via file uploads and per-file results, which reduces manual transcription time and accelerates data-driven workflows.
How to Use
1) Upload PDF files to convert.
2) Select extraction modes: text, images, and tables; enable OCR if needed.
3) Configure options: page range, output format, and OCR language if applicable.
4) Run conversion and monitor status if processing multiple files.
5) Download per-file outputs or a consolidated ZIP and verify data quality.

FAQs/Additional Resources
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