Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
GLiNER is a Python library for named entity recognition (NER) that uses a bidirectional transformer model. It allows users to extract custom entity types from text without requiring pre-defined labels or fine-tuning.
Sources
youtube.com shapes more of what AI says about GLiNER than any other source, at 22% of its citations.
github.com · arxiv.org · edenai.co · medium.com
The market map
LLM Security and Governance Platforms →Excerpts where GLiNER appeared in the AI's answer

GLiNER-PII / NVIDIA-optimized variants — A newer favorite for zero-shot named entity recognition
Excerpts where GLiNER appeared in the AI's answer

GLiNER : Best if you have little to no training data (Zero-shot / Few-shot).

GLiNER-style models → newer schema-based extraction approaches (emerging trend)