CONVERT PDF → TXT (PDF to TXT)
Extract all text content from PDF documents into plain text files.
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Ghostscript + QPDFHOW TO CONVERT PDF → TXT
Upload the PDF
Drop your document into the uploader. Multi-page PDFs are handled automatically.
Extract the text
pdftotext (Poppler) walks the PDF content stream and emits the text in reading order.
Download the TXT
Grab the file — UTF-8 plain text ready for any text-processing tool.
Converting PDF to TXT strips everything except the raw text content — no layout, no images, no fonts, just the words. It is the first step for any text-processing pipeline: full-text search indexing, LLM ingestion, content analysis, plagiarism checks. A PDF becomes a plain text file your scripts can grep, diff and parse without PDF library overhead.
Why convert PDF to TXT
PDF is designed for visual layout preservation, not content extraction. Programmatic text analysis wants plain UTF-8 — no binary fluff, no embedded fonts, no weird coordinate transforms. Converting upfront gives every downstream tool a format it can actually reason about.
PDF vs TXT — Technical specifications
Side-by-side comparison of the technical details.
- MIME type
- application/pdf
- Current version
- PDF 2.0 (ISO 32000-2:2020)
- Compression
- Flate, LZW, JBIG2, JPEG, JPEG 2000
- Max file size
- ~10 GB (practical); 2^31 bytes (theoretical per object)
- Color models
- RGB, CMYK, Grayscale, Lab, DeviceN, ICC-based
- Standard subsets
- PDF/A, PDF/X, PDF/UA, PDF/E, PDF/VT
- MIME Type
- application/pdf
- Extension
- Category
- Documents & Text
- Full Name
- PDF Document
- Conversion Engine
- GHOSTSCRIPT
TXT
- MIME type
- text/plain
- Max file size
- Limited only by filesystem (no format-level limit)
- MIME Type
- text/plain
- Extension
- .txt
- Category
- Documents & Text
- Full Name
- Plain Text
- Conversion Engine
- GHOSTSCRIPT
- Common encodings
- UTF-8, UTF-16, ASCII, ISO-8859-1, Windows-1252
- Line endings
- LF (Unix), CRLF (Windows), CR (classic Mac)
- Structure
- None — flat sequence of characters
| Specification | TXT | |
|---|---|---|
| MIME type | application/pdf | text/plain |
| Current version | PDF 2.0 (ISO 32000-2:2020) | — |
| Compression | Flate, LZW, JBIG2, JPEG, JPEG 2000 | — |
| Max file size | ~10 GB (practical); 2^31 bytes (theoretical per object) | Limited only by filesystem (no format-level limit) |
| Color models | RGB, CMYK, Grayscale, Lab, DeviceN, ICC-based | — |
| Standard subsets | PDF/A, PDF/X, PDF/UA, PDF/E, PDF/VT | — |
| MIME Type | application/pdf | text/plain |
| Extension | .txt | |
| Category | Documents & Text | Documents & Text |
| Full Name | PDF Document | Plain Text |
| Conversion Engine | GHOSTSCRIPT | GHOSTSCRIPT |
| Common encodings | — | UTF-8, UTF-16, ASCII, ISO-8859-1, Windows-1252 |
| Line endings | — | LF (Unix), CRLF (Windows), CR (classic Mac) |
| Structure | — | None — flat sequence of characters |
PDF vs TXT — Strengths and limitations
What each format does best, and where it falls short.
PDF Strengths
- Pixel-perfect fidelity across operating systems, browsers, and printers.
- Embeds fonts, so documents render identically without the reader having them installed.
- Supports digital signatures, encryption, and redaction for legal workflows.
- ISO-standardized (ISO 32000) with multiple validated subsets (PDF/A, PDF/X, PDF/UA).
- Supports both vector and raster content, keeping line art crisp at any zoom level.
Limitations
- Editing is difficult — the format is optimized for display, not mutation.
- Text extraction can scramble reading order in multi-column layouts.
- File sizes balloon quickly when embedding high-resolution images or fonts.
TXT Strengths
- Universally readable — every operating system, every editor, every programming language.
- Zero metadata overhead: the file size equals the character count (for ASCII).
- Safe to diff, grep, version-control, and pipe through command-line tools.
- Immune to format obsolescence: a text file from 1970 still opens today.
- Tiny footprint for structured data like logs or configuration.
Limitations
- No styling, images, or embedded structure — just characters.
- Character encoding ambiguity (ISO-8859-1 vs UTF-8 vs Windows-1252) causes "mojibake".
- Line-ending differences between OSes still cause subtle bugs today.
Quality & Compatibility
Digital-born PDFs (LaTeX, Word exports) extract cleanly with reading order preserved. Scanned PDFs require OCR — toggle the Advanced OCR option and the pipeline runs Tesseract to recognise the text from the images.
Tips for Best Results
- For scanned PDFs, enable OCR in Advanced — raw pdftotext cannot extract text from image-only PDFs.
- Check the first few lines of output to verify reading order; multi-column layouts sometimes interleave wrongly.
Frequently Asked Questions
Yes, as long as the fonts are standard (system fonts or common office fonts like Arial, Calibri, Times, Helvetica). Custom corporate fonts survive if they are embedded in the source document; otherwise the conversion substitutes the closest available match, which can shift line breaks by a character or two.
Yes, with OCR enabled in Advanced. Without OCR, scanned PDFs (which are really images wrapped in a PDF) return empty or garbled text. With OCR, Tesseract recognises the content and writes readable UTF-8.
Yes. Inline images are embedded into the TXT at full resolution, editable tables become native TXT tables, and hyperlinks keep their URLs. Complex features unique to PDF — macros, form fields, track-changes — are mapped where an equivalent exists in TXT and flattened into static content otherwise.
No — TXT has no concept of layout, fonts or images. Only the words survive, in reading order. For layout preservation convert to DOCX or HTML instead.
All uploads go over TLS, files are processed in isolated containers and both the source and the output are deleted within two hours. No account is required, file contents are never indexed or used for training, and the paid plan adds a signable data-processing agreement for regulated workflows.
Usually yes. Single-column PDFs extract in natural reading order. Multi-column layouts (academic papers, magazines) sometimes interleave columns incorrectly — check the output before downstream processing.
PDF Document
Source formatPDF is the universal standard for sharing documents with consistent formatting across all devices and operating systems. It preserves fonts, images, and layout exactly as intended by the author.
Plain Text
Target formatTXT files contain unformatted plain text with no styling, images, or layout information. They are universally readable by any device and operating system, making them the simplest document format.
Going the other way? Convert TXT back to PDF with the same engine.
Common Use Cases
LLM and AI ingestion
Feeding a knowledge base to RAG pipelines: TXT is trivial to chunk and embed; PDF requires a separate extraction step.
Full-text search indexing
Elasticsearch and Meilisearch index TXT natively; PDF needs a pre-processing pipeline.
Plagiarism and content analysis
Academic plagiarism tools and SEO duplicate-content checkers compare plain text, not layout.
PDF vs TXT — Typical file sizes
Approximate file sizes for common scenarios.
- 1-page text-only memo 50–150 KB
- 10-page report with images 500 KB – 2 MB
- Scanned document (per page) 100 KB – 1 MB
- Short note < 1 KB
- README file 2–20 KB
- Full novel (~90,000 words) 500 KB – 1 MB
Sensitive Documents, Scanned OCR, or 500+ Pages?
For legally sensitive archives that must never leave your local network, or multi-hundred page scanned PDFs needing optical character recognition, local document workstations ensure full compliance.
One-time payment with zero recurring commitment: convert files up to 1 GB, OCR, PDF/A, and .ZIP batches for 24 hours.
Full 7 days of unlimited conversions, up to 2 GB per file, 100% ad-free with zero subscription.
High-throughput enterprise pipeline for files up to 2,048 MB, 50-file batches, ISO PDF/A, and priority processing.
Offline conversion for multi-hundred page contracts, spreadsheets, and local optical extraction.
High-accuracy legal OCR, certified PDF/A archiving, and compliant document redaction.
Related comparisons
See these formats side by side to understand which fits your use case best.
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