EasyOCR
6.9#19 in ocr softwareFree planFree planLinuxmacOSSelf-hostedWindows
VisitEasyOCR vs Tesseract OCR
Tesseract OCR
7.9#2 in ocr softwareFree planFree planAndroidAPILinuxmacOS
VisitWhat both publish
| Fact | EasyOCR | Tesseract OCR |
|---|---|---|
| Free plan | Yes | Yes |
| Handwriting OCR | No | No |
| Input formats | Images can be supplied as a file path, NumPy array, bytes, or URL. | The project lists PNG, JPEG, and TIFF among its supported image formats. |
| Installation | The maker documents installation through pip, from source, or with Docker; Windows users may need to install PyTorch manually first. | The documentation describes installation through Linux distributions, macOS package managers, Windows installers, and source builds. |
| Languages | The project states that it supports more than 80 languages, and compatible languages can be read together. | The project says Tesseract supports UTF-8 and recognizes more than 100 languages out of the box. |
| License | The public GitHub repository identifies EasyOCR as licensed under Apache-2.0. | The code is licensed under Apache License 2.0 and is provided without warranties under the license terms. |
| Primary platform | desktop | desktop |
| Purpose | EasyOCR is a Python module for extracting text from images, including natural scene text and dense document text. | Tesseract is an OCR engine and command-line program for extracting printed text from images. |
| Support | The repository directs enterprise inquiries to Jaided AI for custom OCR/AI implementation, training or fine-tuning, and deployment services. | The README directs users to documentation, FAQs, user and developer forums, past issues, and mailing lists, and says issues should be used for bug reports rather than questions. |
| Supported inputs | image | image |
EasyOCR plans
- EasyOCRFree
Tesseract OCR plans
- Tesseract OCRFree
Pick EasyOCR if…
EasyOCR suits developers who need image text extraction across many languages and want configurable recognition options. It is not a fit for handwriting recognition.
Pick Tesseract OCR if…
Tesseract OCR suits developers building image-text recognition into applications, as well as desktop users who need searchable PDFs. It is not suited to handwriting OCR.