Use TokenPig for fast hosted conversion, or Docling for advanced parsing and developer-controlled document pipelines.
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Docling is an open-source document-processing toolkit with broad format support, advanced PDF understanding and integrations for generative-AI workflows. It is designed for developers and teams that need control over parsing, models and pipeline behavior.
TokenPig is intentionally narrower. It gives users a browser interface for converting supported files into clean Markdown and reviewing estimated token savings. It is not trying to replace Docling’s technical depth. It is solving the setup and usability problem for a different audience.
Convert a document without provisioning a Python environment or selecting a parsing pipeline.
Provide an interface designed for people who want a result rather than a framework.
Compare cleanup modes and estimated input size as part of the conversion experience.
Avoid maintaining local models and dependencies for occasional or modest usage.
Choose based on control, operator and operating model — not a winner-takes-all feature list.
| Consideration | TokenPig | Alternative |
|---|---|---|
| Primary workflow | Hosted browser application | Open-source document-processing toolkit |
| Setup | Open the site and upload | Install and configure a developer environment |
| PDF depth | Product-defined conversion | Advanced layout, reading order and table capabilities |
| Best fit | Users who want quick Markdown output | Teams building custom ingestion and AI pipelines |
| Customization | Simple cleanup modes and planned presets | Extensive code and pipeline control |
Editorial note: Comparison facts should be checked against the current official Docling repository before publishing. Official source: Docling.
Do you need a conversion product for users or a document-processing framework for engineers?
Use files with tables, columns, scans and diagrams rather than only clean office documents.
Include environment setup, model downloads, compute, monitoring and maintenance.
Do not adopt a framework when a hosted converter solves the actual workflow—or vice versa.
Download the sample, run it through TokenPig and inspect the Markdown yourself before trusting it with important documents.
No. TokenPig is a simpler product for hosted conversion. Docling is a broad toolkit for developers building document-processing systems.
Yes. Its official project provides Python installation, CLI usage and programmatic conversion workflows.
Choose it when speed, ease of use and a user-facing browser workflow matter more than deep pipeline control.
Docling explicitly focuses on advanced PDF understanding. Test both on your own files, because document complexity and desired output determine the practical result.
Yes. A team may use a simple hosted tool for ad hoc work and a controlled Docling pipeline for production ingestion.
Start with a real file, inspect the output, and keep the original source for verification.
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