Extract Plain Text from Journal Articles and Research PDFs
Systematic reviews and qualitative content analysis require getting text out of dozens or hundreds of PDF articles — and doing it manually is not viable at scale. Deliteful extracts the embedded text from research PDFs into plain UTF-8 files, giving you clean input for NVivo, MAXQDA, Python text analysis, or manual coding workflows.
Academic researchers conducting literature reviews or corpus-based analysis frequently encounter PDFs from journal databases (JSTOR, PubMed, Scopus) that are selectable but not easily extractable in bulk. Copy-pasting from Acrobat introduces formatting noise; purpose-built extraction produces clean line-by-line text that coding tools can ingest directly. For a corpus of 50 articles, one batch run replaces an afternoon of manual extraction.
Page breaks are preserved in the output, which is useful when your analysis methodology requires page-level citation (e.g., APA in-text citations with page numbers). Files up to 300 MB are supported — large enough for book-length PDFs or multi-chapter dissertations. Output is UTF-8 plain text, compatible with every major qualitative and quantitative text analysis tool.
How it works
- 1
Sign in with Google
Create a free Deliteful account in about 3 clicks.
- 2
Upload your research PDFs
Add journal articles, dissertations, or reports — up to 50 files per batch.
- 3
Extract text
Deliteful processes each PDF and extracts the embedded text layer server-side.
- 4
Download and import
Each output .txt file maps one-to-one with its source PDF, with page separators intact for citation tracing.
Frequently asked questions
- Will the extracted text include the abstract, body, and references separately?
- The output is continuous plain text following the PDF's internal structure. Sections like abstract, body, and references are included but not automatically labeled or separated — they appear in the order the PDF encodes them.
- Can I use this for a systematic review with 100+ articles?
- The tool supports batches of up to 50 PDFs at a time. For 100+ articles, run two or more batches. Each file can be up to 300 MB, which covers all standard journal article formats.
- Are PDFs from JSTOR or PubMed compatible?
- Yes, as long as they contain an embedded (selectable) text layer, which most digitally published journal PDFs do. Older scanned articles without a text layer are not supported.
- Can I import the output directly into NVivo or MAXQDA?
- Yes — both tools accept plain text files (.txt) as importable documents. UTF-8 encoding is fully compatible with both platforms.
Create your free Deliteful account with Google and extract clean text from your entire research corpus without manual copy-paste.