Researchers and students
Pull quotes, data, and references out of PDFs without retyping.
Extract clean, editable plain text from any PDF — including scanned files via OCR.
Extract selectable text from digital PDFs or use OCR when the PDF is scanned.
Pick an example or say all text, or just specific pages.
Pull quotes, data, and references out of PDFs without retyping.
Extract text to feed into scripts, search, or data pipelines.
Copy text from locked or scanned PDFs into emails and documents.
Mention if the PDF is scanned so Happycapy uses OCR rather than direct extraction.
"pages 1 to 3" extracts text from just the part you need.
Ask to preserve paragraph breaks for readable output.
Request a clean .txt dump, or light structure like headings kept.
Blurry scans may have small errors — a quick review helps.
Extract text from many PDFs at once into separate files.
Review output quality, follow-up checks, and download expectations for PDF to text.
For native/digital PDFs, text extraction is typically near-perfect (95–100% accuracy) and instant. For scanned PDFs requiring OCR, expect 85–98% character accuracy depending on scan quality, font clarity, and language — meaning a 1,000-word page may still contain 5–20 errors. Best input: a digital PDF when possible, or a scanned PDF with a note that OCR is needed, plus page ranges and whether headings or paragraph breaks should be preserved.
Example: Input: a 30-page research PDF with selectable text and a few scanned appendix pages. Output: clean extracted text with paragraph breaks preserved, plus OCR text for scanned pages when needed. Good for quoting, searching, summarizing, and moving text into notes or scripts.
Paste or upload your PDF directly in the browser — the extraction runs in the cloud, so no desktop software, plugins, or account setup is needed before you begin.
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