FuzzyWuzzy VS Veriff
Compare FuzzyWuzzy VS Veriff and see what are their differences
Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance.
featured
FuzzyWuzzy
Amazon Comprehend
spaCy
Microsoft Bing Spell Check API
Google Cloud Natural Language API
OpenNLP
NLTK
Flookup
Veriff
Onfido
Sumsub
Shufti Pro
ComplyCube
Yoti
IDnow
AU10TIX
When it comes to identity verification, a one-size-fits-all solution does not work. Instead, Veriff configures its verification software for each client, enabling only the checks necessary to match their appetite for risk and requirements for speed and conversions. After verification, selected data points about the session are shared with the client, which can then be used in their systems outside of the IDV scope.
When becoming our partner, our product specialists cooperate with you to determine which data inputs Veriff should gather from users, as well as what checks to conduct depending on your conversion and compliance needs. The outputs and the extent to which we automate our IDV service is entirely up to you, and as a result, Veriff can establish trust beyond the market standard for ID verification while also helping you scale and onboard as many honest customers as possible.
With over 7,000 government-issued IDs supported, Veriff is built to be agile and adaptive. Intelligent software not only helps us configure our checks according to client needs, but it also makes it possible for us to localize in new languages within 1-2 weeks, with a total of 35 localizations supported today.
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Based on our record, FuzzyWuzzy should be more popular than Veriff. 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.
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
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
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
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
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
Alright, ive been trying to verify my age. However, when I reach the part where it gives me the veriff.com link I click it. But then, it gets stuck on this screen (ive put a picture) for a really long time. This is a second time ive tried, with no avail. And yes, I am, ofc, 13+. Source: over 1 year ago
You're not even giving your id to roblox. you're giving it to a reputable 3rd party verification company (veriff). Source: almost 2 years ago
Veriff.com is a real third party for veryfying your account. Source: over 2 years ago
Amazon Comprehend - Discover insights and relationships in text
Onfido - Onfido is the data-driven platform for intelligent background checking.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Sumsub - One verification platform to secure the whole user journey
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.
Shufti Pro - Shufti Pro offers AI-based KYC and AML screening solutions empowered with biometric authentication.