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text-validator
Advanced tools
text-validator can be used for validating text inputs in English to make it more difficult for users to skip through forms by simply keyboard mashing. It performs a variety of simple tests, including sentence length, number of repeats (e.g., "blah blah blah blah"), and comparing words against a database of known words. It compensates for many simple spelling errors as well, using a simple insertion/deletion/mutation model of spelling.
validate(sentence):
Returns a SentenceTest object. The isValid property indicates whether the sentence is valid. The default parameters are very generous. See examples below for more details.
getValidationParams():
Get the current set of validation parameters.
setValidationParams(params):
Set the validation parameters. The validation parameters object has the following properties by default:
{
gibberishThreshold: 0.5, // max fraction of the sentence that can be unknown words
maxRepeatPercentage: 0.5, // max fraction of a sentence that can be a single repeated word (e.g. "blah blah blah blah"
minSentenceLength: 3 // minimum length of a valid sentence in words
}
serve(port):
Serves a rest API on the specified port. To use the server, POST to the /validate endpoint with the text to be validated in the POST body, and content type text/plain. It will return a SentenceTest object.Examples:
> var tv = require('text-validator');
> tv.validate('i am th ver model of a mdorne major genreal')
SentenceTest {
matches:
[ WordMatch { score: 0, match: 'i', word: 'i' },
WordMatch { score: 0, match: 'am', word: 'am' },
WordMatch { score: 1, match: 'ah', word: 'th' },
WordMatch { score: 1, match: 'eer', word: 'ver' },
WordMatch { score: 0, match: 'model', word: 'model' },
WordMatch { score: 0, match: 'of', word: 'of' },
WordMatch { score: 0, match: 'a', word: 'a' },
WordMatch { score: -1, match: undefined, word: 'mdorne' },
WordMatch { score: 0, match: 'major', word: 'major' },
WordMatch { score: 1, match: 'general', word: 'genreal' } ],
validateParams:
{ gibberishThreshold: 0.5,
maxRepeatPercentage: 0.5,
minSentenceLength: 3 },
sentence: 'i am th ver model of a mdorne major genreal',
words:
[ 'i',
'am',
'th',
'ver',
'model',
'of',
'a',
'mdorne',
'major',
'genreal' ],
wordMatch:
[ WordMatch { score: 0, match: 'i', word: 'i' },
WordMatch { score: 0, match: 'am', word: 'am' },
WordMatch { score: 1, match: 'ah', word: 'th' },
WordMatch { score: 1, match: 'eer', word: 'ver' },
WordMatch { score: 0, match: 'model', word: 'model' },
WordMatch { score: 0, match: 'of', word: 'of' },
WordMatch { score: 0, match: 'a', word: 'a' },
WordMatch { score: -1, match: undefined, word: 'mdorne' },
WordMatch { score: 0, match: 'major', word: 'major' },
WordMatch { score: 1, match: 'general', word: 'genreal' } ],
isValid: true }
> tv.validate('asdf nas hjasdfkln fasdf')
SentenceTest {
matches:
[ WordMatch { score: -1, match: undefined, word: 'asdf' },
WordMatch { score: 1, match: 'as', word: 'nas' },
WordMatch { score: -1, match: undefined, word: 'hjasdfkln' },
WordMatch { score: -1, match: undefined, word: 'fasdf' } ],
validateParams:
{ gibberishThreshold: 0.5,
maxRepeatPercentage: 0.5,
minSentenceLength: 3 },
sentence: 'asdf nas hjasdfkln fasdf',
words: [ 'asdf', 'nas', 'hjasdfkln', 'fasdf' ],
wordMatch:
[ WordMatch { score: -1, match: undefined, word: 'asdf' },
WordMatch { score: 1, match: 'as', word: 'nas' },
WordMatch { score: -1, match: undefined, word: 'hjasdfkln' },
WordMatch { score: -1, match: undefined, word: 'fasdf' } ],
isValid: false }
> tv.validate('twas brillig and the slithy toves did gyre and gimble in the wabe')
SentenceTest {
matches:
[ WordMatch { score: 1, match: 'was', word: 'twas' },
WordMatch { score: -1, match: undefined, word: 'brillig' },
WordMatch { score: 0, match: 'and', word: 'and' },
WordMatch { score: 0, match: 'the', word: 'the' },
WordMatch { score: 1, match: 'smithy', word: 'slithy' },
WordMatch { score: 1, match: 'toes', word: 'toves' },
WordMatch { score: 0, match: 'did', word: 'did' },
WordMatch { score: 1, match: 'lyre', word: 'gyre' },
WordMatch { score: 0, match: 'and', word: 'and' },
WordMatch { score: 1, match: 'nimble', word: 'gimble' },
WordMatch { score: 0, match: 'in', word: 'in' },
WordMatch { score: 0, match: 'the', word: 'the' },
WordMatch { score: 1, match: 'abe', word: 'wabe' } ],
validateParams:
{ gibberishThreshold: 0.5,
maxRepeatPercentage: 0.5,
minSentenceLength: 3 },
sentence: 'twas brillig and the slithy toves did gyre and gimble in the wabe',
words:
[ 'twas',
'brillig',
'and',
'the',
'slithy',
'toves',
'did',
'gyre',
'and',
'gimble',
'in',
'the',
'wabe' ],
wordMatch:
[ WordMatch { score: 1, match: 'was', word: 'twas' },
WordMatch { score: -1, match: undefined, word: 'brillig' },
WordMatch { score: 0, match: 'and', word: 'and' },
WordMatch { score: 0, match: 'the', word: 'the' },
WordMatch { score: 1, match: 'smithy', word: 'slithy' },
WordMatch { score: 1, match: 'toes', word: 'toves' },
WordMatch { score: 0, match: 'did', word: 'did' },
WordMatch { score: 1, match: 'lyre', word: 'gyre' },
WordMatch { score: 0, match: 'and', word: 'and' },
WordMatch { score: 1, match: 'nimble', word: 'gimble' },
WordMatch { score: 0, match: 'in', word: 'in' },
WordMatch { score: 0, match: 'the', word: 'the' },
WordMatch { score: 1, match: 'abe', word: 'wabe' } ],
isValid: true }
> tv.validate('O frabjous day! Callooh! Callay!')
SentenceTest {
matches:
[ WordMatch { score: -1, match: undefined, word: 'o' },
WordMatch { score: -1, match: undefined, word: 'frabjous' },
WordMatch { score: 0, match: 'day', word: 'day' },
WordMatch { score: -1, match: undefined, word: 'callooh' },
WordMatch { score: 1, match: 'allay', word: 'callay' } ],
validateParams:
{ gibberishThreshold: 0.5,
maxRepeatPercentage: 0.5,
minSentenceLength: 3 },
sentence: 'o frabjous day callooh callay ',
words: [ 'o', 'frabjous', 'day', 'callooh', 'callay' ],
wordMatch:
[ WordMatch { score: -1, match: undefined, word: 'o' },
WordMatch { score: -1, match: undefined, word: 'frabjous' },
WordMatch { score: 0, match: 'day', word: 'day' },
WordMatch { score: -1, match: undefined, word: 'callooh' },
WordMatch { score: 1, match: 'allay', word: 'callay' } ],
isValid: false }
FAQs
Javascript utility for validating English text inputs
The npm package text-validator receives a total of 7 weekly downloads. As such, text-validator popularity was classified as not popular.
We found that text-validator demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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