17
I Use This!
High Activity
Analyzed 22 minutes ago. based on code collected 1 day 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. The source code will read a binary, grey or color image and output text, ALTO, hOCR or PDF. Tesseract 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%
11 Other
5%

30 Day Summary

Mar 23 2024 — Apr 22 2024

12 Month Summary

Apr 22 2023 — Apr 22 2024
  • 288 Commits
    Down -44 (13%) from previous 12 months
  • 26 Contributors
    Down -16 (38%) from previous 12 months
 

Static Analysis ( Generated by Coverity Scan for tesseract-ocr )

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

Version: 5.3.1-27-gb2cb4994

2024-03-18
Last Analyzed
399,024
Lines of Code Analyze
1.08
Defect Density

Defects by status for current build

732
Total defects
167
Outstanding
544
Fixed

CWE Top 25 defects

ID CWE-Name Number of Defects
676 Use of Potentially Dangerous Function 1