Gamma to DMC thread conversion chart

Find the closest DMC match for any Gamma floss number — with match quality percentages and ranked alternatives. Also converts DMC to Gamma.

598 colors matched using perceptual color distance.

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Full Gamma to DMC conversion chart

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

Code→CodeMatch
0001→303386% Good
0002→386285% Good
0003→82585% Good
0004→41595% Best
0005→93187% Good
0006→0280% Fair
0007→382685% Good
0008→301282% Fair
0009→0680% Fair
0010→37074% Approx
0011→35090% Good
0012→380192% Good
0013→70095% Best
0014→91088% Good
0015→91192% Good
0016→67790% Good
0017→37278% Fair
0018→84279% Fair
0019→97781% Fair
0020→382186% Good
0021→67689% Good
0022→30186% Good
0023→93172% Approx
0024→32189% Good
0025→303373% Approx
0026→82368% Approx
0027→375295% Best
0028→81489% Good
0029→98792% Good
0030→98878% Fair
0031→91583% Fair
0032→91983% Fair
0033→305283% Fair
0034→303387% Good
0035→301277% Fair
0036→336387% Good
0037→15380% Fair
0038→81484% Fair
0039→376877% Fair
0040→303385% Good
0041→1282% Fair
0042→44492% Good
0043→82285% Good
0044→60684% Fair
0045→75886% Good
0046→92284% Fair
0047→377187% Good
0048→382681% Fair
0049→97694% Best
0050→43675% Fair
0051→75878% Fair
0052→40773% Approx
0053→386177% Fair
0054→43684% Fair
0055→30082% Fair
0056→84281% Fair
0057→84184% Fair
0058→84180% Fair
0059→64079% Fair
0060→64772% Approx
0061→31773% Approx
0062→32192% Good
0063→332884% Fair
0064→30488% Good
0065→373392% Good
0066→15284% Fair
0067→304273% Approx
0068→372767% Approx
0069→60289% Good
0070→368883% Fair
0071→60195% Best
0072→360776% Fair
0073→91583% Fair
0074→383682% Fair
0075→32780% Fair
0076→21179% Fair
0077→55278% Fair
0078→34083% Fair
0079→3281% Fair
0080→15686% Good
0081→79488% Good
0082→79884% Fair
0083→82483% Fair
0084→32289% Good
0085→384493% Best
0086→376088% Good
0087→384684% Fair
0088→91195% Best
0089→36793% Best
0090→47082% Fair
0091→52399% Best
0092→61281% Fair
0093→73877% Fair
0094→83178% Fair
0095→82282% Fair
0096→73977% Fair
0097→43677% Fair
0098→67675% Fair
0099→67686% Good
0101→304794% Best
0102→67792% Good
0104→72688% Good
0105→385480% Fair
0107→97078% Fair
0108→92188% Good
0109→90093% Best
0111→15567% Approx
0112→383775% Fair
0114→15183% Fair
0116→33586% Good
0118→89288% Good
0119→380187% Good
0120→32195% Best
0150→64883% Fair
0152→64792% Good
0154→64681% Fair
0155→84489% Good
0201→15174% Approx
0202→335475% Fair
0204→60487% Good
0206→1787% Good
0207→334872% Approx
0209→16471% Approx
0210→70387% Good
0212→16391% Good
0213→381584% Fair
0214→78395% Best
0215→97685% Good
0216→78083% Fair
0217→63274% Approx
0219→386083% Fair
0220→83982% Fair
0301→375684% Fair
0302→375381% Fair
0304→79485% Good
0306→32284% Fair
0308→79287% Good
0309→377078% Fair
0310→96789% Good
0312→75880% Fair
0314→35289% Good
0315→35282% Fair
0316→16480% Fair
0319→36879% Fair
0321→56290% Good
0402→60475% Fair
0404→380486% Good
0406→15089% Good
0407→15096% Best
0409→81489% Good
0410→81490% Good
0411→50379% Fair
0414→56288% Good
0415→B520079% Fair
0416→2779% Fair
0417→45280% Fair
0419→31767% Approx
0420→337173% Approx
0500→382382% Fair
0501→77294% Best
0502→96679% Fair
0504→381681% Fair
0506→381486% Good
0512→33481% Fair
0513→376081% Fair
0514→1894% Best
0516→72683% Fair
0605→59878% Fair
0606→384980% Fair
0609→383692% Good
0611→71872% Approx
0613→336495% Best
0614→305281% Fair
0616→52089% Good
0644→378267% Approx
0652→1879% Fair
0653→83488% Good
0654→382879% Fair
0655→61180% Fair
0657→43374% Approx
0661→92880% Fair
0662→92875% Fair
0663→92778% Fair
0664→92674% Approx
0665→376873% Approx
0666→41380% Fair
0670→386674% Approx
0672→45279% Fair
0673→45274% Approx
0674→386085% Good
0676→0978% Fair
0703→377992% Good
0705→22474% Approx
0707→371291% Good
0708→372288% Good
0709→34792% Good
0715→52485% Good
0716→52388% Good
0717→32077% Fair
0718→336384% Fair
0719→98687% Good
0720→31980% Fair
0725→45374% Approx
0727→304268% Approx
0729→2858% Approx
0752→0178% Fair
0753→16888% Good
0754→41586% Good
0755→93279% Fair
0756→93286% Good
0757→32286% Good
0758→93179% Fair
0759→16180% Fair
0765→22588% Good
0767→385975% Fair
0768→377276% Fair
0771→22179% Fair
0772→385888% Good
0802→73879% Fair
0803→84284% Fair
0804→386487% Good
0805→386481% Fair
0806→84190% Good
0807→386393% Best
0808→386295% Best
0809→63274% Approx
0811→83986% Good
0812→77987% Good
0815→304779% Fair
0816→1184% Fair
0817→37286% Good
0818→73375% Fair
0820→73376% Fair
0821→301190% Good
0823→305190% Good
0852→375677% Fair
0853→74774% Approx
0854→381190% Good
0855→59884% Fair
0856→59787% Good
0857→381083% Fair
0858→381078% Fair
0859→80690% Good
0860→380891% Good
0865→30486% Good
0867→32691% Good
0869→49893% Best
0870→81583% Fair
0871→15469% Approx
0875→22573% Approx
0876→77882% Fair
0877→15291% Good
0879→372674% Approx
0902→22576% Fair
0904→15188% Good
0905→335475% Fair
0906→96283% Fair
0907→380478% Fair
0908→77785% Good
0909→91580% Fair
0915→0585% Good
0917→84178% Fair
0919→61190% Good
0924→95084% Fair
0925→377182% Fair
0926→306477% Fair
0927→382675% Fair
0928→78080% Fair
0929→386275% Fair
0930→89877% Fair
0953→307282% Fair
0954→50468% Approx
0956→32079% Fair
0957→50287% Good
0958→56182% Fair
0960→50087% Good
0966→0191% Good
0967→16891% Good
0969→31877% Fair
0970→93278% Fair
0971→93181% Fair
0972→93082% Fair
1095→2569% Approx
2125→73995% Best
2130→73886% Good
2135→382782% Fair
3010→94874% Approx
3011→22583% Fair
3012→22480% Fair
3013→377976% Fair
3014→15288% Good
3015→373376% Fair
3016→45368% Approx
3017→31668% Approx
3018→42282% Fair
3019→1986% Good
3020→72891% Good
3021→54388% Good
3022→377683% Fair
3023→92186% Good
3024→54382% Fair
3025→377984% Fair
3026→95087% Good
3027→371282% Fair
3028→75879% Fair
3029→372276% Fair
3030→377481% Fair
3031→75880% Fair
3032→386194% Best
3033→54383% Fair
3034→84280% Fair
3035→386495% Best
3036→386686% Good
3037→302385% Good
3038→302489% Good
3039→302478% Fair
3040→302385% Good
3041→303394% Best
3042→82288% Good
3043→1079% Fair
3044→0589% Good
3045→0186% Good
3046→31885% Good
3047→76280% Fair
3048→34192% Good
3049→76282% Fair
3050→15978% Fair
3051→77586% Good
3052→80986% Good
3053→307281% Fair
3054→82889% Good
3055→376690% Good
3056→381191% Good
3057→376675% Fair
3058→59882% Fair
3059→95973% Approx
3060→96479% Fair
3061→92862% Approx
3062→381396% Best
3063→50383% Fair
3064→64480% Fair
3065→64881% Fair
3066→304779% Fair
3067→301387% Good
3068→61387% Good
3069→304681% Fair
3070→41384% Fair
3071→76077% Fair
3072→22383% Fair
3073→377983% Fair
3074→76184% Fair
3075→76077% Fair
3076→35175% Fair
3077→370883% Fair
3078→371283% Fair
3079→335484% Fair
3080→89985% Good
3081→15191% Good
3082→335493% Best
3083→89989% Good
3084→335482% Fair
3085→89390% Good
3086→30988% Good
3087→96386% Good
3088→89495% Best
3089→89990% Good
3090→30990% Good
3091→96390% Good
3092→89989% Good
3093→96378% Fair
3094→335075% Fair
3095→22585% Good
3096→372283% Fair
3097→81687% Good
3098→31681% Fair
3099→380385% Good
3100→380389% Good
3101→374089% Good
3102→383489% Good
3103→60085% Good
3104→33583% Fair
3105→60285% Good
3106→380377% Fair
3107→55485% Good
3108→32784% Fair
3109→76282% Fair
3110→3184% Fair
3111→79386% Good
3112→79388% Good
3113→93285% Good
3114→79682% Fair
3115→82781% Fair
3116→81388% Good
3117→80986% Good
3118→82587% Good
3119→82583% Fair
3120→82389% Good
3121→376164% Approx
3122→384577% Fair
3123→96455% Approx
3124→77582% Fair
3125→376087% Good
3126→82580% Fair
3127→376683% Fair
3128→51890% Good
3129→80689% Good
3130→381178% Fair
3131→381274% Approx
3132→50483% Fair
3133→95892% Good
3134→56382% Fair
3135→95891% Good
3136→385091% Good
3137→50482% Fair
3138→99291% Good
3139→385091% Good
3140→36973% Approx
3141→91272% Approx
3142→16383% Fair
3143→381688% Good
3144→307270% Approx
3145→50379% Fair
3146→92780% Fair
3147→50458% Approx
3148→56480% Fair
3149→91186% Good
3150→50473% Approx
3151→36882% Fair
3152→334586% Good
3153→36876% Fair
3154→334586% Good
3155→334781% Fair
3156→64576% Fair
3157→16474% Approx
3158→91095% Best
3159→381989% Good
3160→381966% Approx
3161→1680% Fair
3162→301183% Fair
3163→301179% Fair
3164→378782% Fair
3165→1093% Best
3166→64485% Good
3167→64578% Fair
3168→301386% Good
3169→73493% Best
3170→47171% Approx
3171→83285% Good
3172→73381% Fair
3173→301288% Good
3174→301276% Fair
3175→61389% Good
3176→83491% Good
3177→42091% Good
3178→42089% Good
3179→303382% Fair
3180→61287% Good
3181→61184% Fair
3182→43679% Fair
3183→43587% Good
3184→42092% Good
3185→78280% Fair
3186→43586% Good
3187→ECRU90% Good
3188→72984% Fair
3189→43687% Good
3190→67689% Good
3191→382087% Good
3192→30792% Good
3193→72688% Good
3194→72889% Good
3195→74284% Fair
3196→97784% Fair
3197→72886% Good
3198→385487% Good
3199→72286% Good
3200→334086% Good
3201→35090% Good
3202→40286% Good
3203→94582% Fair
3204→382589% Good
3205→92290% Good
3206→2296% Best
3207→385675% Fair
3208→67691% Good
3209→43679% Fair
3210→78382% Fair
3211→377787% Good
3212→377787% Good
3213→377983% Fair
3214→84284% Fair
3215→385981% Fair
3216→385875% Fair
3217→386173% Approx
3218→43684% Fair
3219→337184% Fair
3220→84290% Good
3221→84184% Fair
3222→80185% Good
3223→302187% Good
3224→83895% Best
3225→303394% Best
3226→64286% Good
3227→378773% Approx
3228→337187% Good
3229→0488% Good
3230→53583% Fair
3231→386587% Good
3232→31786% Good
3233→41390% Good
3235→15091% Good
3236→22581% Fair
3237→15487% Good
3238→2889% Good
3239→375282% Fair
3240→79277% Fair
3241→41588% Good
3242→41474% Approx
3243→16880% Fair
3244→1291% Good
3245→381981% Fair
3246→16387% Good
3247→302488% Good
3248→1982% Fair
3249→77983% Fair
3250→386584% Fair
3251→374383% Fair
3252→36986% Good
3253→42087% Good
3254→31288% Good
3255→0287% Good
3256→41582% Fair
3257→31871% Approx
3258→41488% Good
3259→41393% Best
3260→41378% Fair
4055→30490% Good
4105→1375% Fair
4195→0968% Approx
5130→382381% Fair
5135→384293% Best
5140→307886% Good
5165→382174% Approx
5166→51984% Fair
5167→384596% Best
5168→384380% Fair
5169→82779% Fair
5170→32284% Fair
5171→82585% Good
5172→31179% Fair
5173→307272% Approx
5174→59793% Best
5175→92470% Approx
5176→67784% Fair
5177→382084% Fair
5178→97688% Good
5179→71282% Fair
5180→72784% Fair
5181→44490% Good
5182→76286% Good
5184→379975% Fair
5185→375074% Approx
5186→31872% Approx
5188→16970% Approx
5191→64688% Good
5192→84487% Good
5193→304273% Approx
5194→41464% Approx
5195→50067% Approx
5196→1488% Good
5197→381287% Good
5198→381283% Fair
5199→385784% Fair
5200→94888% Good
5201→95087% Good
5202→306482% Fair
5203→385884% Fair
5204→55072% Approx
5205→15485% Good
5206→2583% Fair
5207→56485% Good
5208→56483% Fair
5209→56391% Good
5210→56375% Fair
5211→91179% Fair
5212→70085% Good
5213→54376% Fair
5214→377482% Fair
5215→54384% Fair
5216→92280% Fair
5217→2374% Approx
5219→75890% Good
5220→41483% Fair
5221→41595% Best
6035→50472% Approx
6075→381483% Fair
6080→15377% Fair
6115→1482% Fair

Full DMC to Gamma conversion chart

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

Code→CodeMatch
B5200→041579% Fair
BLANC→323178% Fair
ECRU→318790% Good
01→096691% Good
02→325587% Good
03→325770% Approx
04→322988% Good
05→304489% Good
06→322084% Fair
07→005975% Fair
08→015478% Fair
09→081285% Good
10→316593% Best
11→081684% Fair
12→324491% Good
13→520882% Fair
14→519688% Good
15→611577% Fair
16→316180% Fair
17→051488% Good
18→051494% Best
19→301986% Good
20→520085% Good
21→521675% Fair
22→320696% Best
23→521774% Approx
24→520669% Approx
25→520683% Fair
26→007675% Fair
27→041679% Fair
28→323889% Good
29→002666% Approx
30→323870% Approx
31→311084% Fair
32→311082% Fair
33→011264% Approx
34→310878% Fair
35→310286% Good
150→040796% Best
151→308191% Good
152→087791% Good
153→310782% Fair
154→323787% Good
155→007872% Approx
156→008086% Good
157→305076% Fair
158→030875% Fair
159→304883% Fair
160→008080% Fair
161→075980% Fair
162→305486% Good
163→021291% Good
164→031680% Fair
165→324485% Good
166→316972% Approx
167→318489% Good
168→096791% Good
169→518870% Approx
208→011264% Approx
209→007466% Approx
210→310775% Fair
211→007679% Fair
221→077179% Fair
223→307283% Fair
224→301280% Fair
225→076588% Good
300→005582% Fair
301→002286% Good
304→405590% Good
307→319292% Good
309→309090% Good
310→321950% Approx
311→517279% Fair
312→513590% Good
315→309977% Fair
316→309881% Fair
317→323286% Good
318→304685% Good
319→072080% Fair
320→095679% Fair
321→012095% Best
322→008489% Good
326→086791% Good
327→310884% Fair
333→007960% Approx
334→051281% Fair
335→011686% Good
336→517273% Approx
340→007883% Fair
341→304892% Good
347→070992% Good
349→002486% Good
350→001190% Good
351→004477% Fair
352→031489% Good
353→307380% Fair
355→320686% Good
356→320169% Approx
367→008993% Best
368→315182% Fair
369→325286% Good
370→317380% Fair
371→000879% Fair
372→081786% Good
400→520369% Approx
402→320286% Good
407→321578% Fair
413→325993% Best
414→325888% Good
415→000495% Best
420→318492% Good
422→301882% Fair
433→065774% Approx
434→092880% Fair
435→318387% Good
436→318987% Good
437→301880% Fair
444→004292% Good
445→081663% Approx
451→322971% Approx
452→041780% Fair
453→304480% Fair
469→082169% Approx
470→009082% Fair
471→061376% Fair
472→316178% Fair
498→086993% Best
500→096087% Good
501→095881% Fair
502→095787% Good
503→306383% Fair
505→008981% Fair
517→008485% Good
518→312890% Good
519→516684% Fair
520→061689% Good
522→003376% Fair
523→009199% Best
524→071585% Good
535→323083% Fair
543→302188% Good
550→007579% Fair
552→007778% Fair
553→011163% Approx
554→310785% Good
561→095882% Fair
562→032190% Good
563→520991% Good
564→520785% Good
580→082170% Approx
581→009072% Approx
597→517493% Best
598→085584% Fair
600→310385% Good
601→007195% Best
602→006989% Good
603→090678% Fair
604→020487% Good
605→011470% Approx
606→004484% Fair
608→521663% Approx
610→091971% Approx
611→091990% Good
612→318087% Good
613→317589% Good
632→077284% Fair
640→005979% Fair
642→322686% Good
644→316685% Good
645→061679% Fair
646→519188% Good
647→015292% Good
648→015083% Fair
666→011980% Fair
676→320891% Good
677→010292% Good
680→009774% Approx
699→001371% Approx
700→001395% Best
701→001483% Fair
702→001472% Approx
703→021087% Good
704→315772% Approx
712→318784% Fair
718→090774% Approx
720→010879% Fair
721→320077% Fair
722→319986% Good
725→319484% Fair
726→010488% Good
727→518084% Fair
728→302091% Good
729→318884% Fair
730→082168% Approx
732→317472% Approx
733→317281% Fair
734→316993% Best
738→213086% Good
739→212595% Best
740→010777% Fair
741→319884% Fair
742→319584% Fair
743→010487% Good
744→319383% Fair
745→517682% Fair
746→050082% Fair
747→085476% Fair
754→031086% Good
758→521990% Good
760→006684% Fair
761→307484% Fair
762→518286% Good
772→050194% Best
775→305186% Good
777→090885% Good
778→087682% Fair
779→081287% Good
780→021683% Fair
782→318580% Fair
783→021495% Best
791→311470% Approx
792→030887% Good
793→311288% Good
794→008188% Good
796→311482% Fair
797→030887% Good
798→008284% Fair
799→030479% Fair
800→311569% Approx
801→322285% Good
803→325484% Fair
807→311684% Fair
809→305286% Good
813→311688% Good
814→041090% Good
815→087083% Fair
816→086992% Good
817→012089% Good
818→323671% Approx
819→090275% Fair
820→311482% Fair
822→304288% Good
823→312089% Good
824→513590% Good
825→311887% Good
826→008487% Good
827→311581% Fair
828→305489% Good
829→065762% Approx
830→009469% Approx
831→009478% Fair
832→317185% Good
833→001777% Fair
834→317691% Good
838→322495% Best
839→081186% Good
840→080882% Fair
841→080690% Good
842→322090% Good
844→015589% Good
869→065769% Approx
890→096070% Approx
891→001287% Good
892→011888% Good
893→308590% Good
894→308895% Best
895→315480% Fair
898→322284% Fair
899→308990% Good
900→010993% Best
902→002881% Fair
904→002976% Fair
905→003074% Approx
906→003072% Approx
907→316165% Approx
909→001381% Fair
910→315895% Best
911→008895% Best
912→314977% Fair
913→031975% Fair
915→007383% Fair
917→003179% Fair
918→520378% Fair
919→320686% Good
920→002272% Approx
921→010888% Good
922→320590% Good
924→003977% Fair
926→066474% Approx
927→314680% Fair
928→066180% Fair
930→097282% Fair
931→000587% Good
932→075686% Good
934→519275% Fair
935→061673% Approx
936→082373% Approx
937→082376% Fair
938→322489% Good
939→312083% Fair
943→313987% Good
945→320382% Fair
946→521668% Approx
947→320067% Approx
948→520088% Good
950→520187% Good
951→212581% Fair
954→520980% Fair
955→314879% Fair
956→308578% Fair
957→308890% Good
958→313392% Good
959→305973% Approx
961→011679% Fair
962→309284% Fair
963→309190% Good
964→306079% Fair
966→520881% Fair
967→031089% Good
970→010778% Fair
972→319579% Fair
973→051679% Fair
975→002276% Fair
976→004994% Best
977→319684% Fair
986→071987% Good
987→002992% Good
988→003078% Fair
989→315573% Approx
991→095862% Approx
992→313891% Good
993→313477% Fair
995→008680% Fair
996→516870% Approx
3011→082190% Good
3012→317388% Good
3013→306787% Good
3021→322387% Good
3022→015272% Approx
3023→304085% Good
3024→303889% Good
3031→322491% Good
3032→318082% Fair
3033→322594% Best
3041→310167% Approx
3042→519373% Approx
3045→065475% Fair
3046→317683% Fair
3047→010194% Best
3051→082390% Good
3052→003383% Fair
3053→061392% Good
3064→520282% Fair
3072→095382% Fair
3078→514086% Good
3325→311571% Approx
3326→307483% Fair
3328→006384% Fair
3340→320086% Good
3341→320072% Approx
3345→315286% Good
3346→002984% Fair
3347→003383% Fair
3348→316172% Approx
3350→308676% Fair
3354→308293% Best
3362→061687% Good
3363→003687% Good
3364→061395% Best
3371→322887% Good
3607→007276% Fair
3608→020472% Approx
3609→310776% Fair
3685→002884% Fair
3687→040474% Approx
3688→006583% Fair
3689→308190% Good
3705→011888% Good
3706→308579% Fair
3708→308884% Fair
3712→070791% Good
3713→308779% Fair
3716→011480% Fair
3721→321184% Fair
3722→070888% Good
3726→087974% Approx
3727→020273% Approx
3731→007177% Fair
3733→006592% Good
3740→310189% Good
3743→325183% Fair
3746→007980% Fair
3747→304865% Approx
3750→325475% Fair
3752→002795% Best
3753→030281% Fair
3755→311682% Fair
3756→030184% Fair
3760→008688% Good
3761→305484% Fair
3765→312673% Approx
3766→305590% Good
3768→003977% Fair
3770→030978% Fair
3771→004787% Good
3772→076876% Fair
3774→521482% Fair
3776→302283% Fair
3777→321287% Good
3778→520279% Fair
3779→070392% Good
3781→322384% Fair
3782→080382% Fair
3787→316482% Fair
3790→091972% Approx
3799→323382% Fair
3801→001292% Good
3802→309970% Approx
3803→310089% Good
3804→040486% Good
3805→006989% Good
3806→090680% Fair
3807→075976% Fair
3808→086091% Good
3809→086074% Approx
3810→085783% Fair
3811→305691% Good
3812→519787% Good
3813→306296% Best
3814→050686% Good
3815→324685% Good
3816→314388% Good
3817→306287% Good
3818→071969% Approx
3819→315989% Good
3820→319187% Good
3821→319487% Good
3822→010484% Fair
3823→050082% Fair
3824→307378% Fair
3825→320489% Good
3826→000785% Good
3827→213582% Fair
3828→065479% Fair
3829→318573% Approx
3830→320677% Fair
3831→309090% Good
3832→006378% Fair
3833→011678% Fair
3834→310289% Good
3835→310877% Fair
3836→060992% Good
3837→007777% Fair
3838→311278% Fair
3839→008081% Fair
3840→304878% Fair
3841→002778% Fair
3842→513593% Best
3843→516880% Fair
3844→008593% Best
3845→516796% Best
3846→008784% Fair
3847→095860% Approx
3848→607579% Fair
3849→060680% Fair
3850→313691% Good
3851→313873% Approx
3852→021479% Fair
3853→517887% Good
3854→319887% Good
3855→320882% Fair
3856→320379% Fair
3857→519984% Fair
3858→077288% Good
3859→321581% Fair
3860→067485% Good
3861→303294% Best
3862→080895% Best
3863→080793% Best
3864→303595% Best
3865→323187% Good
3866→318789% Good
504→313283% Fair
731→001067% Approx
776→307477% Fair
781→318378% Fair
806→085990% Good
971→010778% Fair
3773→521979% Fair

Gamma colors are sampled from photographs of each skein, with every photo's printed code checked against its number.

Convert between Gamma 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.

About the Gamma range

This chart covers the 598 solid colors of Gamma cotton floss. Gamma also makes melange and metallic threads; those are left out, since a melange mixes several colors and a metallic's shine has no cotton equivalent.

Gamma and DMC are both cotton embroidery floss, so a Gamma color and its DMC match stitch the same way.

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 instead of Gamma floss?
Yes. Find the Gamma number in the chart and use the DMC match next to it. The match quality shows how close the colors are.
Are Gamma melange and metallic threads included?
No. The chart covers solid colors only, because a single DMC color cannot match a thread that mixes several colors or a metallic finish.
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.

Upload Your Photo Free