GLiNER VS SpaCy

Let’s have a side-by-side comparison of GLiNER vs SpaCy to find out which one is better. This software comparison between GLiNER and SpaCy is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether GLiNER or SpaCy fits your business.

GLiNER

GLiNER
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like).

SpaCy

SpaCy
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.

GLiNER

Launched
Pricing Model Free
Starting Price
Tech used
Tag Document Automation,Data Extraction,Data Science

SpaCy

Launched 2015-1
Pricing Model Free
Starting Price
Tech used Next.js,Netlify,Gzip,OpenGraph,Progressive Web App,Webpack,HSTS
Tag Text Analysis,Data Analysis

GLiNER Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

SpaCy Rank/Visit

Global Rank 247241
Country United States
Month Visit 176749

Top 5 Countries

19.44%
5.84%
5.37%
4.93%
4.59%
United States India Germany Vietnam Russia

Traffic Sources

2.26%
0.7%
0.09%
8.1%
47.13%
41.72%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing GLiNER and SpaCy, you can also consider the following products

Gestell - Gestell's ETL pipeline turns unstructured data into AI-ready knowledge graphs for accurate, scalable LLM reasoning and Gen AI applications.

NuExtract - Automate high-precision structured data extraction from any document with NuExtract AI. Get reliable, low-hallucination results for critical workflows.

LangExtract - LangExtract: Python library for verifiable LLM data extraction. Turn unstructured text into precise, source-grounded, structured data you can trust.

Graphlit - Graphlit is an API-first platform for developers building AI-powered applications with unstructured data, which leverage domain knowledge in any vertical market such as legal, sales, entertainment, healthcare or engineering.

BERT - TensorFlow code and pre-trained models for BERT

More Alternatives