hezarai/hezar

Health v2 · maintenance only

Adoption not part of the score

1013 stars · 65 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Hezar is an all-in-one Python AI library for the Persian language, covering NLP, speech recognition, OCR, and image captioning through a task-based model interface. It integrates tightly with the Hugging Face Hub and bundles datasets, embeddings, tokenizers, and training tools.

Use cases

• persian text classification and sentiment analysis
• persian speech recognition from audio
• persian ocr on scanned documents
• persian named entity recognition and pos tagging
• persian image captioning
• train or fine-tune models on persian datasets
• use persian word embeddings like fasttext and word2vec

When to choose

• you need ready-to-use pretrained models for Persian across multiple modalities
• you want a simple task-based API instead of wiring transformers pipelines yourself
• you need Persian datasets, metrics, and training recipes in one package

When to avoid

• your project targets languages other than Persian
• you need cutting-edge custom model architectures not included in Hezar
• you want a lightweight dependency - Hezar pulls in deep learning frameworks

Facets

library · maturity active

machine-learning nlp speech-recognition ocr image-processing llm-training transformers machine-learning speech-processing image-processing python cross-platform persian persian-nlp hugging-face farsi multimodal pretrained-models natural-language-processing

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