Dimensions to DMC thread conversion chart

Find the closest DMC match for the floss numbers in a Dimensions kit — for when a kit runs short of a color, or you want to stitch the design again from your DMC stash.

425 colors matched using perceptual color distance.

Loading converter…

Full Dimensions to DMC conversion chart

425 color matches, ranked by match quality. Click any row for alternatives.

Code→CodeMatch
6001→33688% Good
6002→376579% Fair
6003→80995% Best
6005→81391% Good
6007→376082% Fair
6009→74782% Fair
6016→79491% Good
6017→34189% Good
6018→74778% Fair
6019→30488% Good
6022→383282% Fair
6024→89390% Good
6026→96387% Good
6028→332880% Fair
6029→35192% Good
6030→35280% Fair
6031→81983% Fair
6033→332693% Best
6034→96389% Good
6048→98687% Good
6049→32082% Fair
6050→334780% Fair
6051→1382% Fair
6052→36958% Approx
6053→90472% Approx
6055→91291% Good
6058→90575% Fair
6059→70383% Fair
6060→334849% Approx
6062→90692% Good
6063→98991% Good
6064→1563% Approx
6067→98791% Good
6068→36979% Fair
6069→1582% Fair
6078→334849% Approx
6079→53575% Fair
6080→0393% Best
6081→2787% Good
6082→BLANC84% Fair
6084→59785% Good
6091→50469% Approx
6092→303170% Approx
6093→43380% Fair
6095→43586% Good
6096→72983% Fair
6098→71287% Good
6099→379082% Fair
6100→61280% Fair
6101→378285% Good
6103→64286% Good
6104→302488% Good
6108→97569% Approx
6109→43580% Fair
6110→97779% Fair
6111→68084% Fair
6113→382091% Good
6115→71287% Good
6116→94690% Good
6117→72285% Good
6118→74186% Good
6119→74293% Best
6121→307887% Good
6123→74688% Good
6125→74186% Good
6126→72588% Good
6127→74397% Best
6128→72692% Good
6130→97389% Good
6131→30775% Fair
6132→44590% Good
6133→3578% Fair
6135→383685% Good
6136→15368% Approx
6137→3480% Fair
6139→15397% Best
6150→31090% Good
6155→386587% Good
6158→96480% Fair
6163→93173% Approx
6164→93282% Fair
6165→375286% Good
6181→93788% Good
6195→16385% Good
6197→381672% Approx
6217→370691% Good
6250→2683% Fair
6264→32082% Fair
6325→93784% Fair
6336→81966% Approx
6340→2683% Fair
6341→374785% Good
6347→34988% Good
6352→76176% Fair
6367→32082% Fair
6368→1382% Fair
6402→385679% Fair
6504→50471% Approx
6666→380185% Good
6720→72182% Fair
6722→382580% Fair
6738→73990% Good
6739→377090% Good
6746→386584% Fair
6754→22585% Good
6758→377990% Good
6760→77687% Good
6796→384295% Best
6798→32284% Fair
6800→375379% Fair
6814→49884% Fair
6819→2371% Approx
6842→303394% Best
6891→370691% Good
6917→91788% Good
6919→382682% Fair
6930→93173% Approx
6931→93282% Fair
6932→375286% Good
6945→2091% Good
6954→96688% Good
6955→95583% Fair
6963→81888% Good
6975→78074% Approx
6976→43683% Fair
6977→382784% Fair
6996→384670% Approx
11001→BLANC100% Best
11002→71287% Good
11263→2565% Approx
11321→332880% Fair
11814→49884% Fair
12099→74186% Good
12275→386584% Fair
12288→44590% Good
12290→30775% Fair
12292→74688% Good
12293→67779% Fair
12295→307887% Good
12298→74397% Best
12302→382282% Fair
12303→72588% Good
12305→67789% Good
12306→382784% Fair
12308→43683% Fair
12314→74293% Best
12322→72182% Fair
12323→382580% Fair
12324→72284% Fair
12326→382682% Fair
12330→72285% Good
12334→94690% Good
12335→380179% Fair
12337→377990% Good
12338→377896% Best
12339→372183% Fair
12386→74672% Approx
12975→2182% Fair
13001→368985% Good
13003→76180% Fair
13004→373189% Good
13008→76176% Fair
13011→35280% Fair
13012→89491% Good
13013→91887% Good
13019→34988% Good
13046→380185% Good
13047→332880% Fair
13056→96191% Good
13063→60286% Good
13065→335084% Fair
13067→81990% Good
13068→371397% Best
13069→77687% Good
13071→76080% Fair
13072→30488% Good
13073→49887% Good
13081→15173% Approx
13082→372692% Good
13084→22371% Approx
13087→76182% Fair
13088→371273% Approx
13089→81691% Good
13125→371386% Good
13127→332693% Best
13128→76171% Approx
13129→371386% Good
13151→96390% Good
13152→76171% Approx
13153→96191% Good
13176→96291% Good
13241→22482% Fair
13242→377885% Good
13280→2371% Approx
13282→76083% Fair
13283→89390% Good
13335→94878% Fair
13336→97676% Fair
13337→78174% Approx
13340→97577% Fair
13401→60094% Best
13500→380185% Good
13868→81889% Good
14085→368971% Approx
14086→60579% Fair
14087→360780% Fair
14089→91786% Good
14092→3480% Fair
14097→383685% Good
14101→32788% Good
14104→15368% Approx
14107→3578% Fair
14221→374377% Fair
14223→304271% Approx
14224→304185% Good
14300→3480% Fair
14301→55373% Approx
14302→383668% Approx
14303→2565% Approx
15000→43586% Good
15307→382091% Good
15309→382973% Approx
15345→2090% Good
15349→78084% Fair
15350→385582% Fair
15351→382784% Fair
15356→78074% Approx
15360→379084% Fair
15365→43683% Fair
15371→43690% Good
15372→377090% Good
15375→73990% Good
15376→303389% Good
15379→61282% Fair
15381→303170% Approx
15388→303394% Best
15393→64077% Fair
15470→43488% Good
15475→43380% Fair
15476→80173% Approx
15576→303394% Best
15578→386476% Fair
15898→61280% Fair
15936→386283% Fair
15943→72983% Fair
16001→1563% Approx
16007→92686% Good
16010→334876% Fair
16018→32082% Fair
16019→305287% Good
16020→95583% Fair
16021→90470% Approx
16180→96480% Fair
16181→50469% Approx
16185→96480% Fair
16186→95985% Good
16187→381284% Fair
16205→91179% Fair
16209→50480% Fair
16210→1392% Good
16211→50583% Fair
16213→91279% Fair
16225→36881% Fair
16227→90575% Fair
16228→90472% Approx
16238→70489% Good
16239→70383% Fair
16250→1064% Approx
16253→1582% Fair
16256→334876% Fair
16258→98791% Good
16264→334886% Good
16265→3277% Fair
16267→47074% Approx
16269→93788% Good
16270→93676% Fair
16845→336475% Fair
16876→381672% Approx
16878→16385% Good
16879→381790% Good
16880→381896% Best
17001→96457% Approx
17004→2574% Approx
17005→374785% Good
17010→384591% Good
17022→51885% Good
17023→82587% Good
17031→375695% Best
17049→375678% Fair
17050→375286% Good
17051→93282% Fair
17052→93173% Approx
17053→74790% Good
17100→384295% Best
17110→2683% Fair
17150→16172% Approx
17159→77582% Fair
17160→33688% Good
17161→59785% Good
17167→381183% Fair
17169→59790% Good
17180→81386% Good
17181→51885% Good
17182→376082% Fair
17225→307273% Approx
17226→92874% Approx
17227→380968% Approx
17976→375384% Fair
17977→332589% Good
17978→80995% Best
17981→79790% Good
18390→0589% Good
18403→31090% Good
18500→64689% Good
18501→53584% Fair
18510→BLANC84% Fair
18511→2787% Good
18512→0484% Fair
18513→0393% Best
18514→53575% Fair
18519→41382% Fair
18900→0586% Good
3743→2579% Fair
5200→BLANC98% Best
6012→384284% Fair
6020→332880% Fair
6025→89988% Good
6035→332880% Fair
6061→70277% Fair
6083→376583% Fair
6087→95979% Fair
6097→31772% Approx
6122→382391% Good
6138→15381% Fair
6149→BLANC98% Best
6210→15381% Fair
6214→82081% Fair
6214.1→15191% Good
7030→79989% Good
12238→43581% Fair
12289→74189% Good
12296→382391% Good
12300→74681% Fair
12327→74189% Good
12331→94883% Fair
12332→94788% Good
12410→304781% Fair
12412→304691% Good
12874→382288% Good
12875→382194% Best
12876→83477% Fair
13006→377989% Good
13060→15172% Approx
13083→82774% Approx
13086→368984% Fair
13111→35185% Good
13126→332688% Good
13239→81985% Good
13240→22576% Fair
13281→332688% Good
13284→383295% Best
13306→377989% Good
13332→382477% Fair
13334→71285% Good
13410→34788% Good
13883→377378% Fair
15308→78285% Good
15347→42289% Good
15363→382787% Good
15369→73991% Good
15374→83289% Good
15395→93690% Good
15471→83076% Fair
15472→378186% Good
15477→89856% Approx
15478→93893% Best
15533→386676% Fair
15579→84176% Fair
15830→71287% Good
15832→64495% Best
15889→301270% Approx
15933→303392% Good
15942→73883% Fair
16005→386573% Approx
16008→99186% Good
16015→36964% Approx
16017→16486% Good
16030→95586% Good
16031→70279% Fair
16183→56477% Fair
16212→90984% Fair
16226→70271% Approx
16246→70180% Fair
16261→47182% Fair
16266→334882% Fair
16268→47091% Good
16315→334871% Approx
16316→305385% Good
16317→98988% Good
16318→334693% Best
16842→1681% Fair
16843→47184% Fair
16875→50485% Good
16884→73375% Fair
17021→80085% Good
17024→15887% Good
17030→79989% Good
17162→80686% Good
17168→59776% Fair
17876→80085% Good
17975→51893% Best
17979→51778% Fair
17980→380879% Fair
17982→31170% Approx
18231→2580% Fair
18252→374376% Fair
18398→0187% Good
18400→64575% Fair
60221→372286% Good
60223→22486% Good
63031→378186% Good
63328→383288% Good
63607→380679% Fair
63609→368980% Fair
63726→372282% Fair

Full DMC to Dimensions conversion chart

489 color matches, ranked by match quality. Click any row for alternatives.

Code→CodeMatch
B5200→520087% Good
BLANC→11001100% Best
ECRU→673988% Good
01→1839887% Good
02→1839072% Approx
03→608093% Best
04→1851284% Fair
05→1839089% Good
06→1890082% Fair
07→1850078% Fair
08→1850079% Fair
09→1547871% Approx
10→1600567% Approx
11→606974% Approx
12→1287458% Approx
13→1621092% Good
14→606974% Approx
15→606982% Fair
16→1684281% Fair
17→1287463% Approx
18→1287470% Approx
19→1594278% Fair
20→694591% Good
21→1233883% Fair
22→601981% Fair
23→374375% Fair
24→374375% Fair
25→1823180% Fair
26→625083% Fair
27→608187% Good
28→1430253% Approx
29→1702469% Approx
30→601763% Approx
31→1626557% Approx
32→1626577% Fair
33→1430172% Approx
34→1430080% Fair
35→613378% Fair
150→1308989% Good
151→6214.191% Good
152→6022385% Good
153→613997% Best
154→613347% Approx
155→1430152% Approx
156→601665% Approx
157→1787684% Fair
158→1702487% Good
159→601782% Fair
160→703062% Approx
161→1715072% Approx
162→616574% Approx
163→619585% Good
164→1601786% Good
165→606957% Approx
166→1688472% Approx
167→609575% Fair
168→1839873% Approx
169→1600770% Approx
208→1430159% Approx
209→1430267% Approx
210→613870% Approx
211→613664% Approx
221→681471% Approx
223→1308471% Approx
224→6022386% Good
225→1386888% Good
300→1301361% Approx
301→691978% Fair
304→601988% Good
307→613084% Fair
309→1341078% Fair
310→615090% Good
311→600180% Fair
312→679687% Good
315→1308271% Approx
316→613565% Approx
317→609772% Approx
318→616464% Approx
319→604865% Approx
320→604982% Fair
321→1341084% Fair
322→679884% Fair
326→1341074% Approx
327→1410188% Good
333→1702456% Approx
334→679875% Fair
335→6332880% Fair
336→600188% Good
340→601650% Approx
341→601789% Good
347→1341088% Good
349→634788% Good
350→1311184% Fair
351→602992% Good
352→603080% Fair
353→1300687% Good
355→1301380% Fair
356→1297579% Fair
367→619579% Fair
368→1622581% Fair
369→606879% Fair
370→1588969% Approx
371→1537475% Fair
372→1684563% Approx
400→1301379% Fair
402→672278% Fair
407→1324274% Approx
413→1851982% Fair
414→1851265% Approx
415→616571% Approx
420→609582% Fair
422→1534789% Good
433→609380% Fair
434→1547088% Good
435→609586% Good
436→1537190% Good
437→1594282% Fair
444→612779% Fair
445→613290% Good
451→1850064% Approx
452→1825266% Approx
453→1839075% Fair
469→618181% Fair
470→1626891% Good
471→1684384% Fair
472→1684269% Approx
498→1307387% Good
500→1688043% Approx
501→1600862% Approx
502→619564% Approx
503→1687964% Approx
505→1621183% Fair
517→1797978% Fair
518→1797593% Best
519→1308371% Approx
520→632569% Approx
522→1601978% Fair
523→1631679% Fair
524→1631563% Approx
535→1850184% Fair
543→1593384% Fair
550→613375% Fair
552→1430076% Fair
553→1430173% Approx
554→613870% Approx
561→1688072% Approx
562→619576% Fair
563→1687977% Fair
564→1621084% Fair
580→618173% Approx
581→1626874% Approx
597→1716990% Good
598→1716770% Approx
600→1340194% Best
601→1306383% Fair
602→1306386% Good
603→6360774% Approx
604→1301261% Approx
605→1300180% Fair
606→1311169% Approx
608→1233286% Good
610→1536082% Fair
611→609981% Fair
612→1537982% Fair
613→610172% Approx
632→1301365% Approx
640→1539377% Fair
642→610386% Good
644→1583295% Best
645→1840075% Fair
646→1850089% Good
647→610368% Approx
648→610465% Approx
666→634785% Good
676→1535078% Fair
677→1230589% Good
680→611184% Fair
699→1621276% Fair
700→1624679% Fair
701→1624680% Fair
702→1603179% Fair
703→605983% Fair
704→1623889% Good
712→1583087% Good
718→1408985% Good
720→611664% Approx
721→1233286% Good
722→611785% Good
725→612688% Good
726→612892% Good
727→612879% Fair
728→612677% Fair
729→609683% Fair
730→1539560% Approx
732→1588966% Approx
733→1688475% Fair
734→1688470% Approx
738→1594283% Fair
739→1536991% Good
740→1232477% Fair
741→1228989% Good
742→611993% Best
743→612797% Best
744→612182% Fair
745→612187% Good
746→612388% Good
747→1705390% Good
754→675879% Fair
758→1388375% Fair
760→1328283% Fair
761→676086% Good
762→1839886% Good
772→606977% Fair
775→1715982% Fair
777→1308982% Fair
778→1308171% Approx
779→1547864% Approx
780→1534984% Fair
782→1530885% Good
783→697678% Fair
791→1702479% Fair
792→1798177% Fair
793→679867% Approx
794→601691% Good
796→621480% Fair
797→1798190% Good
798→679873% Approx
799→703089% Good
800→1797787% Good
801→1547673% Approx
803→1798184% Fair
807→600590% Good
809→600395% Best
813→600591% Good
814→681454% Approx
815→681480% Fair
816→1308991% Good
817→601976% Fair
818→1386889% Good
819→1306790% Good
820→621481% Fair
822→1241077% Fair
823→1798269% Approx
824→1798187% Good
825→1702387% Good
826→679881% Fair
827→1797788% Good
828→1705379% Fair
829→609370% Approx
830→1547176% Fair
831→1547173% Approx
832→1537489% Good
833→1534773% Approx
834→1241280% Fair
838→1547883% Fair
839→1547266% Approx
840→1593674% Approx
841→1557976% Fair
842→610181% Fair
844→1851976% Fair
869→1547083% Fair
890→604858% Approx
891→666682% Fair
892→602974% Approx
893→621790% Good
894→1301291% Good
895→604867% Approx
898→1547673% Approx
899→602588% Good
900→634778% Fair
902→1308950% Approx
904→1631877% Fair
905→605875% Fair
906→606292% Good
907→1601075% Fair
909→1621284% Fair
910→1621273% Approx
911→1620579% Fair
912→605591% Good
913→1622578% Fair
915→691759% Approx
917→691788% Good
918→1301387% Good
919→1301387% Good
920→691965% Approx
921→1297575% Fair
922→672078% Fair
924→1798063% Approx
926→1600786% Good
927→1722669% Approx
928→1722674% Approx
930→601275% Fair
931→679881% Fair
932→616482% Fair
934→1627067% Approx
935→1539572% Approx
936→1539590% Good
937→618188% Good
938→1547893% Best
939→1798262% Approx
943→1618772% Approx
945→640276% Fair
946→611690% Good
947→1233288% Good
948→694586% Good
950→675869% Approx
951→1534584% Fair
954→1601775% Fair
955→1603086% Good
956→602485% Good
957→1301280% Fair
958→1618773% Approx
959→1618685% Good
961→1305691% Good
962→1317691% Good
963→1315190% Good
964→615880% Fair
966→1621088% Good
967→675873% Approx
970→1232479% Fair
972→611986% Good
973→613089% Good
975→1334077% Fair
976→1333676% Fair
977→611079% Fair
986→604887% Good
987→606791% Good
988→605074% Approx
989→606391% Good
991→1600886% Good
992→1618776% Fair
993→1618676% Fair
995→679866% Approx
996→600367% Approx
3011→1588970% Approx
3012→1588970% Approx
3013→1684376% Fair
3021→1547285% Good
3022→610368% Approx
3023→610366% Approx
3024→610488% Good
3031→1547882% Fair
3032→610374% Approx
3033→684294% Best
3041→1422485% Good
3042→1422371% Approx
3045→610075% Fair
3046→1241291% Good
3047→1230589% Good
3051→1539581% Fair
3052→1601987% Good
3053→1631685% Good
3064→1557874% Approx
3072→1722573% Approx
3078→612187% Good
3325→1797789% Good
3326→603393% Best
3328→1328485% Good
3340→1233281% Fair
3341→611774% Approx
3345→632583% Fair
3346→1631893% Best
3347→1601983% Fair
3348→1626486% Good
3350→1306584% Fair
3354→603379% Fair
3362→1539580% Fair
3363→604971% Approx
3364→1684382% Fair
3371→1547867% Approx
3607→1408780% Fair
3608→6360763% Approx
3609→1408674% Approx
3685→1308959% Approx
3687→1300484% Fair
3688→1317688% Good
3689→1300185% Good
3705→602983% Fair
3706→621791% Good
3708→603391% Good
3712→6332874% Approx
3713→1306897% Best
3716→603386% Good
3721→1233983% Fair
3722→6022186% Good
3726→1308292% Good
3727→6214.158% Approx
3731→1300489% Good
3733→1317691% Good
3740→1422455% Approx
3743→1422177% Fair
3746→1626550% Approx
3747→634185% Good
3750→601270% Approx
3752→616586% Good
3753→1797684% Fair
3755→600584% Fair
3756→1703195% Best
3760→600782% Fair
3761→1716779% Fair
3765→608383% Fair
3766→608475% Fair
3768→1722764% Approx
3770→673990% Good
3771→1388378% Fair
3772→1593668% Approx
3774→1534573% Approx
3776→610979% Fair
3777→1307382% Fair
3778→1233896% Best
3779→675890% Good
3781→1547286% Good
3782→610185% Good
3787→1536077% Fair
3790→1536084% Fair
3799→1851972% Approx
3801→666685% Good
3802→1308251% Approx
3803→691764% Approx
3804→1340172% Approx
3805→1306377% Fair
3806→6360779% Fair
3807→1715060% Approx
3808→1798079% Fair
3809→608380% Fair
3810→1716280% Fair
3811→1716783% Fair
3812→1618784% Fair
3813→1687975% Fair
3814→1600868% Approx
3815→619581% Fair
3816→619772% Approx
3817→1687990% Good
3818→1688096% Best
3819→1601053% Approx
3820→611391% Good
3821→1287594% Best
3822→1287488% Good
3823→612291% Good
3824→1300682% Fair
3825→672280% Fair
3826→691982% Fair
3827→1536387% Good
3828→1537976% Fair
3829→611184% Fair
3830→6022179% Fair
3831→1341080% Fair
3832→1328495% Best
3833→1305677% Fair
3834→613374% Approx
3835→613777% Fair
3836→613585% Good
3837→1430074% Approx
3838→679864% Approx
3839→703066% Approx
3840→1702179% Fair
3841→616583% Fair
3842→679695% Best
3843→1702271% Approx
3844→1797579% Fair
3845→1701091% Good
3846→699670% Approx
3847→1600873% Approx
3848→1600876% Fair
3849→1618783% Fair
3850→1620569% Approx
3851→605569% Approx
3852→611372% Approx
3853→672080% Fair
3854→1228973% Approx
3855→612683% Fair
3856→640279% Fair
3857→681451% Approx
3858→1233970% Approx
3859→1324279% Fair
3860→1422462% Approx
3861→1422366% Approx
3862→1593683% Fair
3863→609568% Approx
3864→1557876% Fair
3865→615587% Good
3866→1553376% Fair
504→1687585% Good
731→1547154% Approx
776→676087% Good
781→1530881% Fair
806→1716286% Good
971→1232473% Approx
3773→1388378% Fair

Dimensions publishes no standalone color card, so these colors come from community reference data. When a match is close, compare it against the skein in your kit.

Convert between Dimensions and DMC thread codes. Each match includes a quality percentage based on perceptual color distance — so you can see how close the substitution actually is.

Why Dimensions floss needs converting

Dimensions sells its floss inside its kits rather than as a separate line, and the kit key lists every color by Dimensions' own number. When a kit comes up short, or you want to stitch the same design again with floss you already own, you need the DMC equivalent of each number.

This chart holds 425 Dimensions codes. Kits have used more numbers than that over the years; if yours isn't listed, compare the skein against the DMC matches of its neighboring numbers, or match it by eye against our DMC color chart.

Understanding match quality

  • 93–100% — Virtually identical. Hard to tell apart even side-by-side.
  • 85–92% — Very close. Minor differences visible only in direct bright light.
  • 75–84% — Good match. Noticeable when compared directly, but works well in most projects.
  • Below 75% — Approximate. Check the alternatives — there may be a better option.

FAQ

Can I use DMC floss in a Dimensions kit?
Yes. Dimensions kit floss is stranded cotton like DMC, so the closest DMC match works in the same strand count. Check the match quality, and buy enough of the DMC color to finish that area so you are not mixing two near-matches side by side.
Why is my Dimensions floss number missing?
Dimensions has no published color card, so this chart covers the 425 codes we have reliable color data for. For a missing number, compare your skein with the matches of the numbers next to it.
How is the match percentage calculated?
We use CIEDE2000, the industry standard for perceptual color difference. 93%+ is virtually indistinguishable; below 75% means a visible difference.

See how your photo converts

Cross stitch is a real commitment — real thread, real hours, real frustration if the pattern doesn't work. Stitchmate lets you see exactly what you're getting into before you buy the first skein.

Upload an image, adjust the settings, check the FLOW Score — about 30 seconds to know if it'll work. Everything up to PDF export is free, no account needed.

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