Software Alternatives & Reviews

FuzzyWuzzy VS Regula

Compare FuzzyWuzzy VS Regula and see what are their differences

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

Regula logo Regula

Regula is a global developer of forensic devices and identity verification solutions.
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20
  • Regula Landing page
    Landing page //
    2023-03-15

With 30+ years of experience in forensic research and the largest library of document templates in the world, Regula creates breakthrough technologies in document and biometric verification. Regula hardware and software solutions allow over 1,000 organizations and 80 border control authorities globally to provide top-notch client service without compromising safety, security or speed.

Regula was named a Representative Vendor in Gartner Market Guide for Identity Proofing and Affirmation in 2022.

FuzzyWuzzy features and specs

No features have been listed yet.

Regula features and specs

  • ID Document Verification: 13000+ document types, 247 countries & territories, 90+ languages
  • Biometric Verification: Face Capture, Face Detection, Face Matching (1:1), Face Search (1:N), Liveness Detection, Face Image Quality Analysis
  • Multi-page processing: MRZ, Visual Inspection Zone, Barcode, NFC/RFID chip
  • Automatic document type recognition: Yes
  • NFC\RFID-based identity verification: Yes
  • Localisation: 30+ languages
  • Customisable UI: Yes
  • Latin\non-Latin languages support: Yes
  • GDPR compliance: By default
  • On-premise installation: Yes (Mobile \ WebService)

FuzzyWuzzy videos

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Regula videos

Regula Seamless Identity Verification in a Snap

More videos:

  • Review - Wizz Air: Regula is a cornerstone of our transformation

Category Popularity

0-100% (relative to FuzzyWuzzy and Regula)
Spreadsheets
100 100%
0% 0
OCR
0 0%
100% 100
NLP And Text Analytics
100 100%
0% 0
Identity Verification
0 0%
100% 100

Questions and Answers

As answered by people managing FuzzyWuzzy and Regula.

Which are the primary technologies used for building your product?

Regula's answer:

  • Automatic Document Type Identification
  • MRZ Reading
  • OCR of Visual Inspection Zone
  • Barcode Reading
  • NFC-based Reading & Verification of eDocuments
  • Automatic Authenticity Control

What makes your product unique?

Regula's answer:

  • 100% in-house R&D and manufacturing
  • Comprehensive ID verification solution
  • Advanced security equal to state border authorities
  • Passionate customer care
  • 30+ years of diverse industry expertise
  • Expert collaboration (Interpol, UNDP, IOM, OSCE, ICAO)

Why should a person choose your product over its competitors?

Regula's answer:

Regula was named a Representative Vendor in the March 2022 Gartner Market Guide for Identity Proofing and Affirmation.

Who are some of the biggest customers of your product?

Regula's answer:

  • UBS Financial Services
  • Pearson Education Inc.
  • Liechtenstein Cryptoassets Exchange
  • AirAsia Aviation Group Limited
  • Wizz Air Hungary Ltd
  • GSMA
  • Pegasus Airlines
  • Suma México
  • Zamna

User comments

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Social recommendations and mentions

Based on our record, FuzzyWuzzy seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

FuzzyWuzzy mentions (11)

  • Need help solving a subtitles problem. The logic seems complex
    Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
  • Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
    Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
  • Fuzzy search
    It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
  • I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
    You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
  • How would you approach this
    To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
View more

Regula mentions (0)

We have not tracked any mentions of Regula yet. Tracking of Regula recommendations started around Jan 2022.

What are some alternatives?

When comparing FuzzyWuzzy and Regula, you can also consider the following products

Amazon Comprehend - Discover insights and relationships in text

MicroBlink - Real time text recognition for your mobile apps.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Smart Engines - Automatic and eco-friendly document scanning and OCR SDK

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.

Anyline - Scan Barcodes, Passports, ID Documents, Utility Meters, License Plates, Serial Numbers, Tire DOT numbers, Documents and much more with Anyline´s AI-powered scanning solutions!