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Analyzed 2 months ago. based on code collected 4 months ago.

Project Summary

The Tesseract OCR engine was one of the top 3 engines in the 1995 UNLV Accuracy test. Between 1995 and 2006 it had little work done on it, but it is probably one of the most accurate open source OCR engines available.

Tesseract will read a binary, grey or color image and output text, ALTO, PAGE XML, hOCR or PDF. It can read most common image formats.

Since 2020 the Internet Archive uses Tesseract to get text for its scanned documents.

Tags

character_recognition document google internetarchive lstm neural_network ocr recognition tesseract

Apache License 2.0
Permitted

Commercial Use

Modify

Distribute

Place Warranty

Sub-License

Private Use

Use Patent Claims

Forbidden

Hold Liable

Use Trademarks

Required

Include Copyright

State Changes

Include License

Include Notice

These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

HTML
82%
JavaScript
8%
Ruby
5%
12 Other
5%

30 Day Summary

Jan 1 2025 — Jan 31 2025

12 Month Summary

Jan 31 2024 — Jan 31 2025
  • 313 Commits
    Up + 66 (26%) from previous 12 months
  • 28 Contributors
    Up + 1 (3%) from previous 12 months

Ratings

6 users rate this project:
3.66667
   
3.7/5.0
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Static Analysis ( Generated by Coverity Scan for tesseract-ocr )

Repository URL: https://github.com/tesseract-ocr/tesseract

Version: 5.0.0-alpha-810-g514a7893

2020-10-18
Last Analyzed
479,971
Lines of Code Analyze
0.63
Defect Density

Defects by status for current build

510
Total defects
99
Outstanding
391
Fixed

CWE Top 25 defects

ID CWE-Name Number of Defects
676 Use of Potentially Dangerous Function 3