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Data & context

EasyOCR

A compact multilingual OCR interface that combines detection and recognition for application use.

30,045 stars

Overview

Research summary

EasyOCR supplies text detection and recognition through a straightforward Python interface and command-line tool. A reader loads the selected languages and processes images into recognized text, positions and confidence values, with CPU and GPU execution options. The library supports many writing systems and can accept image paths or other supported image inputs.

It is useful when an application needs OCR without assembling detection and recognition models independently. The project publishes examples, model downloads and documentation through Jaided AI. The repository code is Apache-2.0, with capabilities determined by the language models loaded.

Repository summary

Stars
30,045
Open issues
Unavailable
Last push
2025-12-05
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for EasyOCR.

Implementation details

Python library built on PyTorch

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

JaidedAI/EasyOCR ↗

Stars
30,045
Open issues
Unavailable
Last push
2025-12-05
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Documentation

Recorded references and research provenance for this entry.

Recorded sources 4

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

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