Data Pipelines

Docling

Convert documents into structured data with ease.

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Docling is a library designed to convert various document formats into structured data. It simplifies the process of extracting meaningful information from unstructured text, making it easier for developers and data scientists to work with document-based datasets.

Docling stands out by offering a robust and flexible Python library specifically tailored for converting documents into structured data formats, making it an ideal choice for developers who need precise control over the extraction process.

When it fits — and when it doesn’t

A good fit for

  • Developers working on projects that require document parsing and extraction into structured formats.

  • Data scientists who need to process large volumes of unstructured text documents for analysis.

Look elsewhere if

  • Projects requiring real-time document processing as Docling is designed for batch operations.

  • Applications needing a web-based UI for document conversion, as it operates primarily as a library.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for certain document formats

    Does not natively support less common formats like ODT, which requires additional conversion steps

  2. 02

    Performance issues with large documents

    Processing times significantly increase for documents over 100 pages, leading to potential timeouts or memory errors

What it does well

  • Converts documents into structured data formats like JSON.

  • Supports multiple document types including PDF, DOCX, and TXT.

  • Highly customizable for specific extraction needs.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Docling

Setup steps, common gotchas and what to check after 30 days.

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