You've got a PDF report and you need the data in a spreadsheet. Or a PDF contract you want to search through quickly. Or a scanned document with text you want to copy.
In theory, extracting text from a PDF is simple. In practice, PDFs are one of the most frustrating formats to work with when it comes to getting text out. Here's why — and how to fix it.
Why Copy-Pasting From PDFs Is So Painful
Not all PDFs are created equal. There are actually three different types of PDFs when it comes to text:
- Text-based PDFs — created from Word, Excel, or similar software. Text is stored as actual text. Easy to copy.
- Image-based PDFs — created by scanning physical documents. The "text" is actually just a picture of text. Copy-paste selects nothing, or gives garbage characters.
- Mixed PDFs — some pages are text-based, some are scanned images. The inconsistency is maddening.
PDF to Text extraction works well for type 1. For type 2 (scanned images), you need OCR (Optical Character Recognition) — a process that "reads" the image and converts it to actual text characters.
How to Extract Text With PDF Bolt
Step 1 — Upload Your PDF
Go to the PDF to Text tool and upload your PDF. Files up to 50MB are supported.
Step 2 — Extract and Download
The tool extracts all text content from the PDF and provides it as a .txt file, organized by page. You can open this in any text editor, import it into a spreadsheet, or use it as source material for whatever you need.
The output file uses clear page markers (--- Page 1 ---, --- Page 2 ---) so you can easily find content from specific sections of the original document.
What to Expect From the Output
A few things to know about extracted PDF text:
- Formatting is lost — bold, italic, font sizes, and layout don't transfer to plain text
- Tables become flat text — table structure is lost; columns run together
- Multi-column layouts can be jumbled — text from two columns might interleave
- Headers and footers are included — page numbers, company names, etc. appear in the output
For clean extraction of tabular data, you're often better off copying individual tables manually or using a PDF-to-Excel tool. But for bulk text extraction — getting the content of a long report into a searchable format — this approach works very well.
Practical Use Cases
| Use Case | Works Well? | Notes |
|---|---|---|
| Extracting quotes from reports | ✅ Great | Easy to find and copy specific passages |
| Making PDF searchable | ✅ Great | Use Ctrl+F in the text file |
| Importing data to spreadsheet | ⚠️ OK | Tables need cleanup after extraction |
| Scanned document (no OCR) | ❌ Poor | Returns blank or garbled output |
| Bulk text processing | ✅ Great | Perfect for feeding into analysis tools |
When Extraction Fails or Gives Garbage
If you extract text and get symbols, squares, or completely wrong characters, the PDF is probably using a custom encoding or is image-based. Signs that your PDF is image-based:
- You can't highlight text in a PDF viewer
- Selecting text and trying to copy gives nothing
- The file was created by scanning a physical document
For these, you need OCR software. Adobe Acrobat's built-in OCR works well, as do online OCR services. PDF Bolt's extraction tool works on text-based PDFs.
Frequently Asked Questions
Does PDF to Text preserve the reading order?
For simple single-column documents, yes — text flows in reading order. For complex multi-column layouts or PDFs with unusual text flow, the order might need manual cleanup.
Can I extract text from only specific pages?
The tool extracts all pages and labels them. You can then simply delete the page sections you don't need from the output text file.
Is the extracted text searchable?
Yes — plain text (.txt) files are fully searchable in any text editor, word processor, or code editor.
What if the PDF has multiple languages?
Multi-language PDFs extract fine as long as the text is stored as actual text (not image). Arabic, Chinese, Hindi, and other non-Latin scripts extract correctly from properly-encoded PDFs.