PDF to Text

How PDF text extraction works in seconds: Select a PDF up to 50 MB and the tool decodes it with PDF.js locally, joining text items page by page into one plain-text output with your chosen separators. Optional page-number headers keep long documents navigable. Extraction finishes in seconds at $0 cost with the file never leaving your device. Page headers survive so $120 chapter quotes cite exact locations every time.

Separators and page-number options: Form-feed suits editors who paste into word processors, double newlines suit clean reading, and custom strings like break markers suit scripted pipelines. An Austin student quoting a $120 chapter on 08/15/2026 keeps page headers for citations. A Chicago analyst mining $4,000 earnings decks uses custom separators to split pages in Python. Custom markers let $4,000 earnings text split cleanly in Python pipelines.

Research, AI input, and archiving: Plain text feeds search, quotations, and language models without layout noise. A Seattle engineer feeding $9,000 spec packs to assistants extracts once and prompts repeatedly. A Denver nonprofit archiving $1,100 grant PDFs dated 08/20/2026 stores text alongside scans for fast keyword retrieval years later. Archived $1,100 grant text stays searchable years after the award closes.

Scans, tables, and formatting limits: Only embedded text extracts, so scanned images need OCR first, and tables, fonts, and images do not survive as layout. Complex merged cells may read out of order. A Miami agent copying $650 disclosures verifies numbers against the original. Very large files near 200 pages may strain older tablets, so extract in halves. Side-by-side checks catch $650 figure errors before emails go to clients.

Privacy and local browser execution: Everything runs locally in your browser with no uploads, logs, or accounts, so $18,000 manuscripts and $4,000 financial decks stay private. The tool is free with no signup required ever. Close the tab and nothing remains on any server. Local runs protect $18,000 manuscripts under embargo with zero retention.

Export workflow and next steps: Copy the text or download it with dated names like report-07-15-2026.txt, then route into editors, search indexes, or AI prompts. A New York desk searching $18,000 manuscripts pairs extraction with word-frequency checks before the 09/01/2026 copyedit, keeping quotes accurate across Austin, Miami, and Seattle teams. Dated files like report-07-15-2026 keep $9,000 spec extracts versioned correctly. Miami agents verify $650 disclosures line by line before clients sign on 08/20/2026. Searchable text saves hours across $18,000 manuscript revisions. Done.