How to extract pdf text for nlp processing and text analysis
- Step 1Upload the corpus PDF — Drop the document into the text extractor.
- Step 2Download the TXT file — Save the extracted text.
- Step 3Pre-process in Python — Strip page numbers and headers using regex before feeding to the NLP pipeline.
- Step 4Run NLP analysis — Pass the cleaned text to spaCy, NLTK, or Hugging Face for processing.
Frequently asked questions
Will ligatures and special characters extract correctly?+
Most standard PDF fonts extract correctly. Some PDFs with custom encoding may produce garbled characters — check the output for any unicode issues.
Can I extract text from PDFs in multiple languages?+
Yes — text from PDFs in any language with embedded fonts extracts in the original language's characters.
How should I handle extraction from scanned PDFs in a corpus?+
Run OCR on scanned PDFs first using the PDF OCR tool, then extract the text layer as described above.
Privacy first
All PDF processing runs locally in your browser using PDF-lib and pdf.js. No file is ever uploaded — only metadata counters are saved for signed-in dashboard stats.