Decision Support · Side-by-side
Compare pricing, strengths, and use cases so it is easier to pick the right fit.
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For everyday users who just want to quickly process text without coding, spaCy is the clear winner — it's free, fast, and works out of the box once you install it. LightTag is a powerful but expensive tool for teams that need to manually label data for training custom AI models, which is overkill for most regular people. The single biggest difference: spaCy does the AI work for you, while LightTag helps you prepare data for AI.
LightTag
spaCy
Scores at a glance
Choose LightTag if
Choose spaCy if
Key differences
Facts side by side
| LightTag | spaCy | |
|---|---|---|
| Free plan | ||
| Mobile app | ||
| API access |
Common questions
No — for simply extracting names, spaCy is faster, free, and works immediately. LightTag is only better if you need to manually correct or label names to train a custom model.
No. LightTag does not have a mobile app and is designed for desktop web browsers. You need a computer to use it.
Yes, at least a little. You need to run a few commands in a terminal and write basic Python to load models and process text. There are many free tutorials, but it's not a no-code tool.
spaCy is better because it's free and can quickly extract common themes and names from feedback. LightTag would be overkill and too expensive unless you're building a custom AI model.
No. LightTag only supports text, HTML, JSON, and PDF files. It cannot handle images, audio, or video.
Its general models are less accurate on specialized jargon. You can train custom models with spaCy, but that requires labeled data and more expertise. For casual use, it still works reasonably well.
spaCy wins for everyday users: it's free, fast, and does the AI work for you, while LightTag is a pricey niche tool for teams building custom AI models.
If you just want to analyze text — pull out names, dates, or keywords — start with spaCy. It's free, fast, and powerful once you get past a simple install. Only consider LightTag if you're part of a team that needs to manually label thousands of documents to train a custom AI model and you have a budget for it.
