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Data & Docs

6 tools

Extract text from DOCX/PPTX, OCR tables, parse invoices, guess CSV schemas, and anonymize PII.

Category Overview

Data & Docs covers document extraction and office data cleanup for teams pulling structured data from office files, receipts, tables, and semi-structured documents. Use these tools when you need text extraction, OCR-style cleanup, schema discovery, or anonymization from document-heavy workflows.

Inside this category you can move between tools for docx, word, pptx, and powerpoint without losing context. That makes the page useful as both a discovery hub and a quick bookmark for repeat workflows.

Popular Tasks in This Category

DOCX Text Extractor: Drop a DOCX file to extract plain text and headings outline
PPTX Slide Text Extractor: Drop a PPTX file to export slide-by-slide text content
Table Extractor from Images: Extract tables from images using local detection β€” offline only
Invoice/Receipt Extractor: Extract totals, dates, and merchant info from receipts β€” offline OCR optional
CSV Schema Guesser: Guess column types, constraints, and output sample JSON Schema
PII Anonymizer: Mask emails, phones, and names in CSV by column rules and export cleaned file

Good Fit For

People who want a tighter browser workflow for document extraction and office data cleanup instead of digging through multiple unrelated tools.
Teams that need faster turnaround on one-off tasks, cleanup jobs, format changes, validation checks, or export preparation.
Tasks that benefit from browser-side processing, easier handoff, and fewer unnecessary steps between input and output.

Browse All Data & Docs

Frequently Asked Questions

What can I do in the Data & Docs category?
Extract text from DOCX/PPTX, OCR tables, parse invoices, guess CSV schemas, and anonymize PII. Typical tasks include docx, word, pptx, and powerpoint and other related jobs that share the same workflow context.
How should I choose the right data & docs page?
Start with the specific result you need, such as docx text extractor or pptx slide text extractor. Then pick the page whose description matches your exact input, output, and review requirements.
Why use a dedicated data & docs page instead of a generic app?
Dedicated pages are easier to rank, easier to revisit, and clearer for repeat work because each one focuses on a single outcome instead of forcing every task into a broad interface.