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Dictionary Search Results using Damerau-Levenshtein distance in T-SQL

Here are the results of your fuzzy-string dictionary search formirkest” with Change Limit: [1] [2] [3]

(Found more than 100 similar words, so Change Limit cannot be increased.)
to automatically search another random word after seconds.

320 similar words found! Changes to Transform each Found Word to your word are shown as:
 remove a letter ~ replace a letter ~ swap two letters ~ _add a letter from your word
(Use the links in the Changes column to see more Transformation details.)

Found WordScrabble ScoreSearched PreviouslyFound PreviouslyChangesTo Transform to your Word
mirkest1330972(None) 
miriest93619821miriest
mirkiest142910251mirkiest
murkest133110201murkest
airest63825262air_est
airiest74221012airiest
chirkest1735382chirkest
darkest122512622darkest
direst75024242dir_est
firmest1239272firmest
likest104914382li_kest
market123226042marke_t
markets133314032markets
meekest1336892meekest
merest84725112mer_est
micklest16219122micklest
mikes115129892mi_kes_
mildest102812062mildest
milkiest142911082milkiest
minkes124618782minkes_
mires75640882mir_es_
mirker123712692mirke_r
mirks115122142mirk_s_
miskept1538922miskept
mitiest93520052mitiest
murkiest143210262murkiest
pinkest132812622pinkest
sickest131813792sickest
smirkiest1535192smirkiest
wiriest103816852wiriest
aeriest73924053aeriest
airless73712043airless
airpost939243airpost
aridest8316143aridest
arrest63722633_arrest
barest85327693bar_est
barkiest144115153barkiest
biggest1138143biggest
bikes117529473bi_kes_
birkies133712433birkies_
birks114920303birk_s_
birles84920643birles_
birses84717733birses_
briskest14337803briskest
burkes124421313burkes_
cires74932913cir_es_
corkiest143114793corkiest
crest74632693_cr_est
curtest9713963curtest
dankest122611673dankest
diciest103316523diciest
dickiest153412503dickiest
digest84019623di_gest
dikes105831333di_kes_
dimmest1249253dimmest
dinkiest133812873dinkiest
direct93817333dir_ect
dirges84915103dirges_
dirked124912273dirke_d
dirks105619523dirk_s_
dirtiest93014203dirtiest
divest106820073di_vest
dorkiest133111253dorkiest
drest65530343_dr_est
driest74722753_driest
dryest104811123_dryest
earnest7318733earnest
eeriest73620673eeriest
fairest10412293fair_est
ficklest17267903ficklest
fiercest13216143fiercest
fieriest112112243fieriest
finest94321733fi_nest
fires85740753fir_es_
firriest112310433firriest
first86226123fir__st
fittest102510803fittest
forest94926743for_est
forkiest153812303forkiest
freest95318283_freest
girliest93010403girliest
goriest82218743goriest
hairiest11612463hairiest
hardest113118413hardest
harvest132112753harvest
highest1439563highest
hikes125426983hi_kes_
hinkiest153311753hinkiest
hippest14219753hippest
hirees95117293hirees_
hires86134343hir_es_
iciest82914743_iciest
ickiest133611043_ickiest
idlest74014863_idlest
illest63615723_illest
imprest11310203imprest
incest82918743_incest
infest93315433_infest
ingest73119003_ingest
inkiest113415043_inkiest
invest93014843_invest
iratest7312483_iratest
ires45639283_ir_es_
irked104510923_irke_d
irks86220133_irk_s_
jerkiest19328113jerkiest
jimpest18297553jimpest
jiviest1738113jiviest
kickiest13319673kickiest
kikes85122553ki_kes_
kindest12311503kindest
kinkiest113110503kinkiest
kirks84915263kirk_s_
kirmess13234313kirmess
lankest112714113lankest
largest83715103largest
larkiest123713313larkiest
liefest1038443liefest
lievest1048343lievest
likes96231903li_kes_
limiest93716103limiest
limpest113712313limpest
liniest73321153liniest
lithest10513913lithest
livest95315733li_vest
maddest112311213maddest
makes115336853m_akes_
mares76457633mar_es_
margent10316693margent
marges94525713marges_
markas124717003markas_
marked133921623marke_d
marker124420393marke_r
markers133516103markers
marks115933483mark_s_
marliest102415183marliest
marses84827113marses_
matiest92522453matiest
mayest114614793m_ayest
maziest183613873maziest
meanest9315703meanest
merces105720743merces_
merdes94518603merdes_
meres75143573mer_es_
merges94122493merges_
merks114722403merk_s_
merles85322763merles_
merriest10311473merriest
miches134320733miches_
mickey174211853micke_y
mickeys18447943mickeys
mickles153415003mickles_
micks135525373mick_s_
midges103516483midges_
midget103718453midge_t
midgets113910253midgets
midlist10312513midlist
midmost1246153midmost
midst85922553mi__dst
miffiest1637133miffiest
mike105535293mi_ke__
miked125020453mi_ke_d
mikvot1556763mi_kvot
miles74645073mi_les_
milked134612573milke_d
milker124814323milke_r
milkers134411613milkers
milkless1434773milkless
milks115020583milk_s_
milles84526563milles_
millet84030743mille_t
millets94216843millets
miltiest103015173miltiest
mimes95732023mi_mes_
minces104420803minces_
minciest122913103minciest
mindset10313343mindset
mines75651953mi_nes_
mingiest113315823mingiest
minke115421763minke__
minks115829273mink_s_
mintiest103217143mintiest
minuet82621033minue_t
minuets9259853minuets
minutest10247653minutest
minxes154612983minxes_
mioses84318853mioses_
mirages102213533mirages_
mire66748233mir_e__
mired85729223mir_e_d
mirex146816623mir_e_x
mirexes1636993mirexes_
mirier83918363mirie_r
miriness10310463miriness
mirins83918903mirins_
mirk106729503mirk___
mirkier13319053mirkier
mirkily16266403mirkily
mirky146315523mirk__y
mirs66940573mir__s_
mirths114912993mirths_
mirzas1738183mirzas_
miscast11312413miscast
miseat82925703mi_seat
mises74740563mi_ses_
miskeep1536403miskeep
mismeet113215163mismeet
mismet103722373misme_t
misseat93617233misseat
missent94318713missent
misses85130873misses_
misset85028153misse_t
missets94516573missets
mist66154533mi___st
mistiest103018313mistiest
mites75141803mi_tes_
mitres83922073mitres_
mixes147224403mi_xes_
modest93818453m_odest
moires8915633moir_es_
moistest1038763moistest
mokes114631033m_okes_
molest85022743m_olest
mooriest102812723mooriest
mopiest113014293mopiest
mordent10313993mordent
mores76249643mor_es_
mostest9314793mostest
muckiest163210913muckiest
mures75937223mur_es_
murker123715243murke_r
murks114821733murk_s_
murres85019043murres_
musket122818203muske_t
muskets13258643muskets
muskiest143311563muskiest
mutest84218053m_utest
nicest82315663ni_cest
nighest11310693nighest
oiliest72817683oiliest
perkiest143313243perkiest
pertest9317043pertest
picket144924313picke_t
pickets154314183pickets
pickiest162712593pickiest
pikes115031033pi_kes_
piniest93121133piniest
pipiest113114493pipiest
porkiest143513713porkiest
prest75736353_pr_est
priest84125423_priest
punkest132611693punkest
purest84021933pur_est
quickest2345343quickest
quirkiest2234373quirkiest
rankest112713813rankest
rarest65725483rar_est
reest54938093__reest
rest46459843__r_est
richest122813683richest
rickets134915093rickets
rifest93114583ri_fest
rimiest93215853rimiest
ripest84317943ri_pest
riskiest12310133riskiest
sarkiest123615063sarkiest
serest64831613ser_est
sikes96236083si_kes_
silkiest123212853silkiest
sirees64624583sirees_
sires55945373sir_es_
siziest16311473siziest
slickest14229253slickest
smartest10310183smartest
smirked14307233smirke_d
smirker13327423smirke_r
smirkers14316353smirkers
smirks124910123smirk_s_
sorest65028003sor_est
spiriest102513453spiriest
spriest92718643spriest
spryest12247813spryest
starkest1239723starkest
surest65026763sur_est
tartest72517533tartest
tersest71713993tersest
thickest17337303thickest
ticket124524853ticke_t
tickets134113683tickets
tidiest83514873tidiest
tikes95628903ti_kes_
tiniest73020123tiniest
tiredest938403tiredest
tires55437493tir_es_
trikes105419493trikes_
tritest7315273tritest
truest64816193_truest
unrest62918853unr_est
veriest103719133veriest
vilest9416843vi_lest
viniest103216613viniest
vires84529683vir_es_
wackest164710863wackest
wariest105122503wariest
warmest123113033warmest
weakest1439003weakest
weirdest1244433weirdest
wicket155318943wicke_t
wickets164010943wickets
widest104517003wi_dest
wildest113311273wildest
wiliest103416593wiliest
winiest103419693winiest
wires86034913wir_es_
wisest95016443wi_sest
wrest84925433_wr_est
wriest94419713_wriest
wryest12429113_wryest
yarest95018913yar_est
yikes125117753yi_kes_

Search took 7 seconds overall (including website activity, plus SQL activity in the following phases):

  1. Length Filter: Limit the application of DLD to words with length difference of no more than the Change Limit.
  2. DLD Change Limit: Apply DLD to each remaining word, limiting each comparison according to the Change Limit.
  3. Display Results: Return the results, with similar words marked up to highlight differences.
SeqSearch PhaseWords CheckedWords MatchedSecondsWords Per Sec
1Length Filter1786911340270.390458182.1
2DLD Change Limit1340273205.95322514.2
3Display Results3203200.1102909.1
 (SQL Overall)1786913206.45327691.2