document

PDF
Text
Converter

Extract clean, structured text from PDF documents including scanned pages, multi-column layouts, headers/footers, and tables. Combines traditional parsing with OCR and layout analysis for maximum accuracy.

Max file size: 200 MB

Estimated: 1-10 sec per page

1 input formats

How It Works

Upload a PDF file or provide a URL.

The document is classified as digital-native or scanned.

Digital pages are parsed directly; scanned pages go through OCR.

Layout analysis preserves reading order across columns and tables.

Clean text is returned with optional page-level segmentation.

Code Examples

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

result = client.convert(
    source="https://example.com/contract.pdf",
    from_format="pdf",
    to_format="text",
    options={
        "ocr_fallback": True,
        "preserve_layout": True,
        "pages": "1-10"
    }
)

for page in result.pages:
    print(f"--- Page {page.number} ---")
    print(page.text)

Use Cases

Ingest legal contracts and regulatory filings for analysis

Extract text from research papers and academic publications

Digitize scanned invoices and receipts

Build full-text search indexes for document libraries

Supported Input Formats

PDF

Quick Info

Categorydocument

Max File Size200 MB

Est. Time1-10 sec per page

Extractordocument-descriptor

Try This Conversion

Get started with the Mixpeek API and convert your first file in minutes.

Frequently Asked Questions

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Ready to convert pdf to text?

Start using the Mixpeek PDF to Text in minutes. Sign up for a free API key and follow the documentation to get started.

PDFTextConverter