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EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

View on GitHub Official site
Rag Document Apache-2.0 Easy setup 29,805 stars

Overview

Description

The big picture: extract text from images in 80+ languages with a single line of Python — no machine learning expertise needed. Here's why it matters: automate document processing, receipt scanning, and data entry for any business workflow. The bottom line: turn any image into searchable, usable text data instantly.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

Yes

Quantization support

No

Docker available

Yes

GUI / no-code available

Yes

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/JaidedAI/EasyOCR

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA)
LanguagesPython

Works Well With