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

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

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

421 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
toed5613704(None) 
coed77140541coed
hoed87837981hoed
ted46446561t_ed
teed55439261teed
tied55535211tied
toad55830181toad
tod49457071to_d
toe310166851toe_
toea46732331toea
toes46956441toes
toked105626491toked
told56132201told
toled65934921toled
toned65435341toned
toped85631311toped
toted64929481toted
towed95134581towed
toyed96019801toyed
abed79734132abed
aced79540882aced
aged67334252aged
ahed89536252ahed
aped78538152aped
atoned75417542atoned
autoed7712822autoed
awed88436032awed
axed128829612axed
bed67950622_bed
bled75729312bled
bod67055542bo_d
bode75838752bode
boded95124962boded
bold75432812bold
bond75334362bond
boned85133242boned
booed85127272booed
bored85034302bored
bowed114533422bowed
boxed154318612boxed
bred75130972bred
cod69660122co_d
code77347732code
coded95433182coded
coeds85920162coeds
coked124730692coked
cold77338772cold
coled85540752coled
coned86040052coned
cooed84534342cooed
coped105036842coped
cord76740922cord
cored85044222cored
coted85033852coted
coved115027372coved
cowed115637842cowed
coxed154322812coxed
coyed114623802coyed
cred76530882cred
cued76329562cued
deed65340902deed
died66137852died
doe47361952doe_
doer57734702doer
does56554472does
doled75430912doled
domed95423262domed
doped95326712doped
dosed76626912dosed
doted75227072doted
dowed104632612dowed
dozed165619352dozed
dyed96720762dyed
ed38645182__ed
eked96718022eked
exed125420592exed
eyed86623232eyed
fed76548352_fed
feed84538902feed
feod815523002feod
fled85429772fled
foe66350812foe_
foes76543442foes
fold86528942fold
fond86330952fond
food86830572food
ford86835492ford
foxed165115212foxed
gaed66031512gaed
ged57044532_ged
geed65435502geed
gied64631982gied
gled65631142gled
goad66830982goad
god57449792go_d
goer56827102goer
goes55644092goes
gold65430162gold
good66531802good
gored75227082gored
gowd96519982gowd
haed86338582haed
heed86437602heed
hied85434042hied
hod76852462ho_d
hoe67562722hoe_
hoer76533982hoer
hoes75755732hoes
hoked135326992hoked
hold86235062hold
holed95634132holed
homed115425422homed
honed95332262honed
hood85132332hood
hoped115628182hoped
hosed95830982hosed
hued86925852hued
iced78721892iced
ired55131872ired
jeed125428502jeed
joe106642352joe_
joes116635892joes
joey145719332joey
joked175217912joked
jowed164724422jowed
joyed164811832joyed
koel84519942koel
led46254552_led
lied55838092lied
load56730602load
lobed86022132lobed
lode56240112lode
loid55531482loid
looed64626132looed
loped85128332loped
lord55032082lord
loud55228042loud
loved95021362loved
lowed95233902lowed
loxed135017052loxed
med66146742_med
meed74934702meed
mod69054402mo_d
mode75840302mode
mold76034332mold
mood76332062mood
mooed85123982mooed
moped105424732moped
moved114218152moved
mowed113629012mowed
need54934152need
nod47549562no_d
node513036882node
noel45226552noel
noes45845392noes
nosed65524552nosed
noted65123842noted
od39255242_o_d
odd57725452_odd
ode47446582_ode
oe28473062_oe_
oes35866192_oes
ohed87825182ohed
old47033462_old
oohed94214212oohed
oozed154214262oozed
oped76230152oped
oud47439072_oud
owed86833872owed
ped66751522_ped
peed76239182peed
pied75035362pied
pled75231432pled
pod66351482po_d
poem86225772poem
poet65552902poet
poked125425392poked
poled84934842poled
pond75530492pond
pood75934322pood
pooed85226242pooed
pored85234512pored
posed85828412posed
poxed154817862poxed
red46755802_red
reed55549622reed
road56332112road
robed85323732robed
rod47953892ro_d
rode55844302rode
roe36861072roe_
roes45954132roes
rood56733002rood
roped84630802roped
rosed65930342rosed
roved95323552roved
rowed94034322rowed
rued55729792rued
seed55549482seed
shed86536152shed
shoed95723002shoed
sled55334372sled
sned56026052sned
sod46053702so_d
sold54837412sold
soled65835172soled
sord56237202sord
sored66141782sored
sowed94933862sowed
sped76031492sped
steed66024942steed
stied65723032stied
stoked114718292stoked
stoled74521592stoled
stoned75923142stoned
stood65517712stood
stoped94721012stoped
stored75524212stored
stowed105817202stowed
styed95815482styed
sued56537932sued
tad47959822t_ad
tae38267052tae_
tael46030712tael
tamed85528512tamed
taped85327422taped
tared69340052tared
tawed95926192tawed
taxed135620292taxed
tea37353322t_ea
teds54932572t_eds
tee38366872t_ee
teel46335802teel
teem66132602teem
teen45938202teen
tees45353582tees
teg45741622t_eg
tel35647902t_el
ten35856112t_en
tend56433772tend
tet39274982t_et
tew66640152t_ew
tewed94718532tewed
the67436052the_
thee78039062thee
them97427042them
then78429692then
thew108226232thew
they107223752they
tholed105113872tholed
thoued10429002thoued
thud85613912thud
tide55237372tide
tided76322512tided
tie36557532tie_
tier44936142tier
ties45248312ties
tiled64832942tiled
timed85223612timed
tined65434532tined
tired65228902tired
to218858982to__
toads65621062toads
toady96814342toady
toby96322292toby
toddy106812422toddy
tods56141842tods
tody86327212tody
toeas55726422toeas
toff105929902toff
toft77441652toft
tofu76921332tofu
tog410255042to_g
toga57027412toga
togaed84711342togaed
togged95117512togged
togs57242432togs
toil46536282toil
toiled74420322toiled
toit46353062toit
toited74016752toited
toke86738492toke
token95419312token
toker95924912toker
tokes95234972tokes
tola45236332tola
tole46052902tole
toledo7419992toledo
toles55147132toles
toll45535262toll
tolled73819032tolled
tolu45529152tolu
tom514358052to_m
tomb89029652tomb
tombed113812132tombed
tome67543192tome
tomes76037382tomes
tommed113310142tommed
toms68343492toms
ton310265102to_n
tondi65716142tondi
tondo69718682tondo
tone46953742tone
toner55336242toner
tones56048662tones
toney86027412toney
tong56434352tong
tonged86518902tonged
tons46553052tons
tony75635152tony
too38965422to_o
took86531072took
tool46735682tool
tooled74918902tooled
toom66532932toom
toon47740632toon
toot45958882toot
tooted74620122tooted
top510560682to_p
tope65946382tope
topee76029952topee
toper75231022toper
topes76941762topes
toph96326872toph
topi67830392topi
topo66932402topo
topped114617722topped
tops66248122tops
tor39261682to_r
tora47545992tora
torc66333352torc
tore47359322tore
tores55352672tores
tori47542152tori
torn46044252torn
toro48045682toro
torr45630902torr
tors46157382tors
tort46967462tort
tory75840542tory
tosh74826812tosh
toss45637972toss
tossed74215222tossed
tost48351922tost
tot38884772to_t
tote46643672tote
totem74819362totem
toter55932132toter
totes55139682totes
tots46654122tots
totted74319952totted
tour45530372tour
toured74216152toured
toused74122012toused
tout46753822tout
touted74419742touted
tow610557362to_w
towel84920522towel
tower85729202tower
town76928702town
tows78545552tows
towy105325472towy
toy69655192to_y
toyer84521552toyer
toyo76925452toyo
toys78036342toys
trad55630912trad
tread64821702tread
tree47745812tree
treed65626732treed
tref77030992tref
trek86222312trek
trend64817452trend
tres46542902tres
tret46653532tret
trey77228792trey
tried65026912tried
trod57627952trod
trode65322852trode
troked114114582troked
trowed104714652trowed
trued65117692trued
tsked105910032tsked
tubed85818042tubed
tuned64622312tuned
turd56027622turd
twee76827082twee
tweed94915092tweed
tye65837442tye_
tyee75131422tyee
tyer75323392tyer
tyes76433372tyes
tyned95915012tyned
typed115815452typed
tyred95816432tyred
used55722822used
vetoed10359822vetoed
vied86328632vied
voe67739052voe_
voes75432822voes
void86220562void
voled95323722voled
voted93919142voted
vowed124424572vowed
wed75843622_wed
weed85637512weed
woad85523942woad
woe66651242woe_
woes76440662woes
wold85429072wold
wood85329382wood
wooed94419872wooed
word89832002word
wowed124023772wowed
yod77545502yo_d
yoked134821622yoked
yond86122312yond
yowed1253025182yowed
zed135431172_zed
zoea137118422zoea
zoned154020262zoned

Search took 2 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 Filter178691298720.1401276364.3
2DLD Change Limit298724211.09627255.5
3Display Results4214210.1403007.1
 (SQL Overall)1786914211.376129862.6