Convert PDFs to Plain Text for Data Ingestion and NLP Pipelines
Getting text out of PDFs is one of the most common pre-processing bottlenecks in data engineering — PDFs are everywhere, but pipelines want plain text. Deliteful extracts the embedded text layer from PDFs and delivers UTF-8 .txt files with page separators, ready for ingestion into Elasticsearch, vector databases, or LLM preprocessing workflows.
Data engineers building document intelligence systems, search indexes, or RAG pipelines routinely hit the PDF extraction problem: libraries like PyMuPDF or pdfplumber work, but standing up extraction infrastructure for a one-off data load or a client demo is overhead that doesn't belong in every project. Deliteful handles extraction as a web service, returning clean UTF-8 output with no environment setup required.
Output files use standard page-break separators, which makes chunking for vector embedding straightforward — split on separators and you have page-level chunks with known boundaries. Each PDF can be up to 300 MB and you can batch up to 50 files at once, which covers most document corpuses short of full-scale enterprise ingestion.
How it works
- 1
Create a free account
Sign in with Google — takes about 3 clicks, no card required.
- 2
Upload your PDF corpus
Batch up to 50 PDFs at once, each up to 300 MB.
- 3
Run extraction
Deliteful extracts the embedded text layer from each file server-side.
- 4
Download UTF-8 text files
One .txt per PDF, with page separators — ready to pipe into your indexer, chunker, or NLP workflow.
Frequently asked questions
- What encoding is the output text?
- Output is UTF-8. This makes it directly compatible with Elasticsearch, OpenSearch, Python NLP libraries, and most vector database ingestion pipelines.
- How are page boundaries marked in the output?
- Standard page-break separators are inserted between pages. You can split on these to produce page-level chunks for embedding or indexing.
- Does this work on PDFs with mixed content — text and images?
- The tool extracts only the embedded text layer. Image content within a PDF is ignored. Pages that are purely image-based (scanned) will produce no text output for that page.
- Is there an API for automated extraction?
- The current tool is web-based with manual upload. For fully automated pipeline integration, the web interface supports batch upload of up to 50 files per run.
Create your free Deliteful account with Google and extract clean UTF-8 text from your PDF corpus in one batch.