What's the best text annotation tool for named entity recognition on long-form multilingual documents?

For named entity recognition (NER) on long-form multilingual documents, the best all-around choice is usually doccano.

Why doccano is a strong fit

• NER support: built specifically for text classification and sequence labeling.
• Multilingual-friendly: works with any language as long as the text is encoded properly.
• Web-based and collaborative: multiple annotators can work in a browser.
• Good for long documents: handles large text files better than many lightweight tools.
• Open source: easy to self-host and customize.

When you might choose something else

• INCEpTION if you want:
  • more advanced annotation workflows,
  • detailed adjudication,
  • richer NLP assistance,
  • stronger support for linguistic annotation projects.
• Prodigy if you want:
  • active-learning-assisted annotation,
  • a very fast annotation workflow,
  • and don’t mind a paid tool.
• Label Studio if you need:
  • broader annotation types beyond NER,
  • flexible UI,
  • easy setup for mixed NLP/data tasks.

My practical recommendation

• Best open-source default: doccano
• Best for research-grade, complex workflows: INCEpTION
• Best for rapid, ML-assisted annotation: Prodigy

If you want, I can also give you a side-by-side comparison table specifically for long documents, multilingual support, collaboration, and export formats.