Soie d'Alger to DMC thread conversion chart

Find the closest DMC cotton for any Soie d'Alger silk shade, or the silk that matches a DMC color — with match quality percentages and ranked alternatives.

643 colors matched using perceptual color distance.

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Full Soie d'Alger to DMC conversion chart

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

Code→CodeMatch
BLANC→BLANC100% Best
Creme→ECRU100% Best
1334→34090% Good
1342→3093% Best
3334→374374% Approx
3333→2593% Best
4623→335089% Good
4622→15278% Fair
4621→377475% Fair
1011→54378% Fair
4142→377283% Fair
2625→920100% Best
943→66692% Good
543→382298% Best
2943→76188% Good
Noir→310100% Best
1716→380877% Fair
1715→93079% Fair
4646→383478% Fair
4634→372684% Fair
3445→41366% Approx
3442→0379% Fair
1845→36774% Approx
1834→56280% Fair
941→380196% Best
4922→82778% Fair
1026→383188% Good
3315→32785% Good
1344→15883% Fair
1434→93177% Fair
3014→33594% Best
1423→31281% Fair
1343→3184% Fair
1433→41581% Fair
2924→34989% Good
915→35088% Good
914→94689% Good
924→334077% Fair
932→22578% Fair
921→94586% Good
2636→90084% Fair
4612→306479% Fair
1835→50587% Good
1832→96689% Good
1841→1065% Approx
2214→83191% Good
3833→61387% Good
4141→385983% Fair
632→97791% Good
4611→306491% Good
3441→0184% Fair
2336→420100% Best
3812→73880% Fair
4116→80185% Good
4516→43590% Good
4236→43491% Good
4235→72983% Fair
4234→72982% Fair
536→973100% Best
2523→72789% Good
3414→45273% Approx
3413→45277% Fair
3412→302483% Fair
2125→58188% Good
245→90780% Fair
2114→47188% Good
2122→304779% Fair
945→30985% Good
1846→93476% Fair
1844→32079% Fair
5023→381679% Fair
5022→381373% Approx
1446→376583% Fair
1444→51897% Best
1442→376191% Good
3423→50376% Fair
3844→64685% Good
3431→303389% Good
3336→55071% Approx
3314→20985% Good
3313→383674% Approx
3312→15381% Fair
146→381877% Fair
144→91182% Fair
143→381783% Fair
141→1063% Approx
516→73289% Good
2145→37094% Best
132→381175% Fair
1721→82883% Fair
2936→15089% Good
3945→601100% Best
3013→76093% Best
3012→76189% Good
3031→15179% Fair
635→72090% Good
3835→61190% Good
4534→84173% Approx
3832→64497% Best
4613→92176% Fair
3834→64288% Good
3715→64279% Fair
3422→1079% Fair
3843→64773% Approx
1734→92771% Approx
935→380187% Good
2242→67795% Best
2231→3046100% Best
524→83382% Fair
225→70179% Fair
226→90475% Fair
235→90583% Fair
224→70267% Approx
223→906100% Best
221→16484% Fair
F20→303385% Good
1043→360769% Approx
634→94686% Good
615→385384% Fair
633→74179% Fair
2514→72688% Good
522→3822100% Best
2512→727100% Best
2234→834100% Best
2213→37194% Best
2212→304685% Good
3821→73978% Fair
4241→303391% Good
625→78376% Fair
611→382788% Good
545→72884% Fair
622→385588% Good
2543→67791% Good
2542→ECRU83% Fair
2541→71291% Good
1723→376683% Fair
2632→95182% Fair
2912→377487% Good
2932→22479% Fair
1013→22590% Good
2112→36987% Good
1441→775100% Best
4631→374364% Approx
2413→780100% Best
2535→382181% Fair
2534→783100% Best
4916→15890% Good
4914→79391% Good
4913→375598% Best
116→80389% Good
4924→82688% Good
4923→33491% Good
4921→384191% Good
4122→97587% Good
125→3766100% Best
1443→51986% Good
2926→377788% Good
2925→383189% Good
946→81687% Good
916→35087% Good
2942→22589% Good
3711→386687% Good
163→93979% Fair
115→384285% Good
113→376689% Good
526→83074% Approx
3745→830100% Best
2225→83182% Fair
2235→832100% Best
2233→833100% Best
4124→93882% Fair
3433→84186% Good
3434→84086% Good
4114→84086% Good
4121→869100% Best
1015→89288% Good
1014→370883% Fair
1022→15187% Good
4131→89880% Fair
2933→76082% Fair
636→90087% Good
4626→15464% Approx
246→904100% Best
244→90784% Fair
214→91290% Good
213→913100% Best
1045→917100% Best
2615→921100% Best
645→94684% Fair
206→92470% Approx
1745→376874% Approx
1744→376673% Approx
1742→16877% Fair
1714→93292% Good
1712→375290% Good
3726→3362100% Best
2126→46973% Approx
3725→936100% Best
165→31081% Fair
5103→943100% Best
2911→2088% Good
1024→370681% Fair
5013→95989% Good
5102→959100% Best
3022→76182% Fair
5011→381177% Fair
142→50477% Fair
544→44497% Best
4215→975100% Best
4212→976100% Best
2613→3827100% Best
2116→334593% Best
2115→90678% Fair
234→70276% Fair
1826→56187% Good
1823→381379% Fair
114→376083% Fair
996→996100% Best
3724→3011100% Best
2133→1680% Fair
3722→3053100% Best
3435→83989% Good
3424→302284% Fair
3421→1087% Good
3831→302484% Fair
5114→304190% Good
5112→374372% Approx
3742→3045100% Best
3721→3047100% Best
3714→3052100% Best
3841→64874% Approx
532→3078100% Best
3021→2378% Fair
2915→35289% Good
912→382582% Fair
911→377489% Good
6115→3346100% Best
2113→16477% Fair
3025→335088% Good
1831→36968% Approx
4136→93883% Fair
1312→374384% Fair
3026→15092% Good
3023→96291% Good
1042→372773% Approx
3042→3689100% Best
1021→81976% Fair
2914→377977% Fair
4645→372268% Approx
3322→76271% Approx
4911→76284% Fair
112→82878% Fair
1445→384386% Good
1722→381183% Fair
126→3765100% Best
F13→386688% Good
644→382581% Fair
2642→75482% Fair
3344→84169% Approx
136→380883% Fair
135→80678% Fair
131→381177% Fair
1824→99272% Approx
216→89076% Fair
243→1582% Fair
2525→44486% Good
2532→382285% Good
2622→3825100% Best
4213→3826100% Best
4243→3828100% Best
2236→3829100% Best
3425→50173% Approx
3426→52074% Approx
111→92879% Fair
133→59774% Approx
134→59770% Approx
145→381891% Good
161→375069% Approx
202→384780% Fair
204→384793% Best
205→384773% Approx
211→50481% Fair
212→96683% Fair
215→69988% Good
222→16490% Good
231→36983% Fair
232→16483% Fair
236→98682% Fair
241→1476% Fair
242→1491% Good
512→1588% Good
514→381986% Good
515→16683% Fair
523→83489% Good
525→42070% Approx
542→382293% Best
612→97777% Fair
613→97670% Approx
614→385382% Fair
616→92084% Fair
621→67777% Fair
623→97286% Good
624→97285% Good
631→385686% Good
641→54392% Good
642→377489% Good
643→385693% Best
646→60685% Good
913→97088% Good
922→40275% Fair
923→334081% Fair
925→66686% Good
926→66696% Best
931→377979% Fair
934→370587% Good
936→34993% Best
942→66679% Fair
944→34991% Good
1012→22578% Fair
1016→380175% Fair
1023→332689% Good
1025→34975% Fair
1033→60583% Fair
1034→60289% Good
1041→2377% Fair
1044→71874% Approx
1046→3583% Fair
1311→15372% Approx
1313→55475% Fair
1314→383670% Approx
1315→32797% Best
1316→15486% Good
1321→2591% Good
1324→20890% Good
1325→383785% Good
1326→55071% Approx
1335→374677% Fair
1336→79285% Good
1341→2678% Fair
1345→33682% Fair
1414→82491% Good
1415→33689% Good
1416→82395% Best
1421→41578% Fair
1422→93182% Fair
1424→31287% Good
1426→82391% Good
1431→0180% Fair
1432→16892% Good
1435→41479% Fair
1436→82373% Approx
1711→16888% Good
1713→375283% Fair
1724→381084% Fair
1725→80685% Good
1726→380985% Good
1731→0182% Fair
1732→0180% Fair
1733→16889% Good
1735→93170% Approx
1736→92474% Approx
1741→92889% Good
1743→92769% Approx
1746→376874% Approx
1753→382173% Approx
1810→386577% Fair
1811→307278% Fair
1812→307281% Fair
1814→92876% Fair
1822→50476% Fair
1825→90985% Good
1833→36884% Fair
1836→31994% Best
1842→1062% Approx
1843→381378% Fair
2111→36971% Approx
2121→36987% Good
2123→1684% Fair
2124→90778% Fair
2131→1479% Fair
2132→1470% Approx
2134→334783% Fair
2135→334587% Good
2136→334595% Best
2141→1184% Fair
2142→381981% Fair
2143→73475% Fair
2144→1680% Fair
2146→61078% Fair
2211→304796% Best
2216→302169% Approx
2221→16588% Good
2222→1879% Fair
2223→73480% Fair
2224→83385% Good
2226→83088% Good
2241→67782% Fair
2243→382190% Good
2244→382081% Fair
2245→385294% Best
2246→78192% Good
2364→3483% Fair
2511→74689% Good
2513→307889% Good
2515→382189% Good
2516→78192% Good
2521→ECRU92% Good
2522→382375% Fair
2524→30786% Good
2526→382080% Fair
2531→74586% Good
2533→382289% Good
2536→97282% Fair
2544→382286% Good
2545→72889% Good
2633→377190% Good
2634→92280% Fair
2635→2184% Fair
2641→377492% Good
2643→35175% Fair
2644→34782% Fair
2645→34785% Good
2646→22191% Good
2756→307269% Approx
2757→92778% Fair
2758→92684% Fair
2913→96794% Best
2916→30985% Good
2921→35176% Fair
2922→332882% Fair
2923→332888% Good
2931→22584% Fair
2934→33589% Good
2935→383196% Best
2941→22588% Good
2944→95684% Fair
2945→383291% Good
2946→30989% Good
3011→77680% Fair
3015→30982% Fair
3024→368793% Best
3032→372782% Fair
3041→386677% Fair
3043→2372% Approx
3044→360776% Fair
3045→383580% Fair
3046→380383% Fair
3193→0680% Fair
3195→379080% Fair
3224→0382% Fair
3226→31779% Fair
3311→2568% Approx
3316→15467% Approx
3321→2786% Good
3323→374370% Approx
3324→2882% Fair
3325→3274% Approx
3326→82383% Fair
3331→2770% Approx
3332→45368% Approx
3335→3369% Approx
3341→386680% Fair
3342→302482% Fair
3343→0672% Approx
3345→0777% Fair
3346→83983% Fair
3411→307277% Fair
3415→0980% Fair
3416→0984% Fair
3432→303384% Fair
3436→93874% Approx
3443→45165% Approx
3444→41479% Fair
3446→41370% Approx
3712→82291% Good
3713→1072% Approx
3716→64087% Good
3732→304782% Fair
3733→37286% Good
3734→37090% Good
3735→61075% Fair
3736→82982% Fair
3811→386690% Good
3814→42286% Good
3815→382893% Best
3816→78084% Fair
3822→73884% Fair
3823→73881% Fair
3824→42284% Fair
3825→78288% Good
3826→78088% Good
3836→302186% Good
3842→302477% Fair
3845→0884% Fair
3846→337181% Fair
3870→22579% Fair
3878→89488% Good
3880→383294% Best
4111→303384% Fair
4112→84282% Fair
4113→386490% Good
4115→30088% Good
4123→80183% Fair
4125→93876% Fair
4126→93880% Fair
4132→93874% Approx
4133→93876% Fair
4134→93867% Approx
4140→0189% Good
4143→385894% Best
4144→77978% Fair
4145→93867% Approx
4146→93872% Approx
4147→2767% Approx
4221→54398% Best
4222→73890% Good
4223→73890% Good
4224→1990% Good
4225→78276% Fair
4226→78175% Fair
4231→386691% Good
4232→73982% Fair
4233→1992% Good
4244→304591% Good
4245→382987% Good
4246→86987% Good
4511→54384% Fair
4512→42288% Good
4513→43684% Fair
4521→303384% Fair
4522→73883% Fair
4523→306477% Fair
4524→382886% Good
4525→42082% Fair
4526→43386% Good
4531→386684% Fair
4532→303381% Fair
4533→0684% Fair
4535→61179% Fair
4536→303182% Fair
4541→84280% Fair
4542→43781% Fair
4543→43579% Fair
4545→43489% Good
4546→30091% Good
4614→35677% Fair
4615→385772% Approx
4616→385778% Fair
4624→49891% Good
4625→15466% Approx
4632→374371% Approx
4633→372770% Approx
4635→372688% Good
4636→90287% Good
4641→45386% Good
4642→45382% Fair
4643→77864% Approx
4644→386160% Approx
4912→15787% Good
4915→79277% Fair
4932→332592% Good
4933→82782% Fair
4934→99590% Good
4935→82589% Good
5012→96487% Good
5021→307276% Fair
5024→50283% Fair
5025→50073% Approx
5111→45370% Approx
5113→304291% Good
5115→383475% Fair
5116→15473% Approx
5381→92878% Fair
5382→92880% Fair
5384→92778% Fair
5385→92688% Good
5386→380979% Fair
5412→375284% Fair
5413→93275% Fair
5414→51872% Approx
5415→380884% Fair
5416→375070% Approx
F01→386694% Best
F02→386688% Good
F03→82279% Fair
F04→73887% Good
F05→386687% Good
F06→386689% Good
F07→ECRU88% Good
F08→82285% Good
F09→378282% Fair
F10→303382% Fair
F11→303395% Best
F12→303376% Fair
F14→84275% Fair
F15→304781% Fair
F16→61377% Fair
F17→386686% Good
F18→378284% Fair
F19→303377% Fair
F21→303389% Good
F22→64474% Approx
0121→386574% Approx
0123→82876% Fair
0124→381184% Fair
0233→98897% Best
0531→82283% Fair
0533→1886% Good
0534→97388% Good
2232→304778% Fair
2546→382779% Fair
2611→54388% Good
2612→42290% Good
2614→40284% Fair
2616→92082% Fair
2621→94579% Fair
2623→40280% Fair
2624→92281% Fair
2626→30180% Fair
3221→2784% Fair
3222→2780% Fair
3723→52395% Best
3741→61375% Fair
3744→83184% Fair
3746→61085% Good
4214→43393% Best
4216→86977% Fair
5383→92886% Good
S2174→303377% Fair
S2176→84278% Fair
S2578→0675% Fair
S2700→386677% Fair
S2860→0682% Fair
S2928→0582% Fair
S3276→386690% Good
S3390→45381% Fair
S3484→386679% Fair
S3596→303377% Fair
S3598→303381% Fair
S3932→386691% Good
S3996→2774% Approx
S4152→0681% Fair
S4153→84290% Good

Full DMC to Soie d'Alger conversion chart

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

Code→CodeMatch
B5200→BLANC87% Good
BLANC→BLANC100% Best
ECRU→Creme100% Best
01→414089% Good
02→173387% Good
03→322482% Fair
04→384477% Fair
05→464185% Good
06→453384% Fair
07→334577% Fair
08→384584% Fair
09→341684% Fair
10→342187% Good
11→214184% Fair
12→222188% Good
13→21275% Fair
14→24291% Good
15→51288% Good
16→212384% Fair
17→053381% Fair
18→053386% Good
19→423392% Good
20→291188% Good
21→263584% Fair
22→94679% Fair
23→302178% Fair
24→333382% Fair
25→333393% Best
26→134178% Fair
27→332186% Good
28→332482% Fair
29→332562% Approx
30→134293% Best
31→134384% Fair
32→332574% Approx
33→132480% Fair
34→236483% Fair
35→104683% Fair
150→302692% Good
151→304291% Good
152→462278% Fair
153→331281% Fair
154→131686% Good
155→134382% Fair
156→133473% Approx
157→491287% Good
158→491690% Good
159→491283% Fair
160→142275% Fair
161→491478% Fair
162→492182% Fair
163→502479% Fair
164→22290% Good
165→222188% Good
166→51583% Fair
167→233691% Good
168→143292% Good
169→275875% Fair
208→132490% Good
209→331485% Good
210→331269% Approx
211→333454% Approx
221→264691% Good
223→464566% Approx
224→293279% Fair
225→101390% Good
300→454691% Good
301→421388% Good
304→94685% Good
307→252486% Good
309→293594% Best
310→Noir100% Best
311→141581% Fair
312→141487% Good
315→463585% Good
316→462260% Approx
317→322679% Fair
318→171468% Approx
319→183694% Best
320→184479% Fair
321→292484% Fair
322→491482% Fair
326→293589% Good
327→131597% Best
333→134475% Fair
334→492391% Good
335→301494% Best
336→141589% Good
340→133490% Good
341→491263% Approx
347→102688% Good
349→93693% Best
350→91588% Good
351→93483% Fair
352→291589% Good
353→291474% Approx
355→94680% Fair
356→461477% Fair
367→183585% Good
368→183384% Fair
369→211287% Good
370→214594% Best
371→221394% Best
372→373386% Good
400→411584% Fair
402→261484% Fair
407→414181% Fair
413→322678% Fair
414→344479% Fair
415→143381% Fair
420→2336100% Best
422→261290% Good
433→421493% Best
434→423691% Good
435→451690% Good
436→451384% Fair
437→422384% Fair
444→54497% Best
445→53268% Approx
451→344365% Approx
452→341377% Fair
453→464186% Good
469→611575% Fair
470→212588% Good
471→211488% Good
472→212379% Fair
498→462491% Good
500→184674% Approx
501→182684% Fair
502→502483% Fair
503→342376% Fair
505→183587% Good
517→492485% Good
518→144497% Best
519→144386% Good
520→372685% Good
522→371484% Fair
523→372395% Best
524→372381% Fair
535→322668% Approx
543→422198% Best
550→132671% Approx
552→132485% Good
553→132468% Approx
554→331276% Fair
561→182687% Good
562→183480% Fair
563→21281% Fair
564→21171% Approx
580→372471% Approx
581→212588% Good
597→172375% Fair
598→172272% Approx
600→302581% Fair
601→3945100% Best
602→103489% Good
603→302373% Approx
604→387866% Approx
605→103383% Fair
606→91586% Good
608→91487% Good
610→374685% Good
611→383590% Good
612→383474% Approx
613→383387% Good
632→414392% Good
640→371687% Good
642→383488% Good
644→383297% Best
645→372672% Approx
646→384485% Good
647→342479% Fair
648→384174% Approx
666→92696% Best
676→62279% Fair
677→224295% Best
680→223686% Good
699→21588% Good
700→22574% Approx
701→22579% Fair
702→23476% Fair
703→183365% Approx
704→24575% Fair
712→254191% Good
718→104474% Approx
720→63590% Good
721→63482% Fair
722→91377% Fair
725→254481% Fair
726→251488% Good
727→2512100% Best
728→254589% Good
729→423583% Fair
730→372477% Fair
732→51689% Good
733→222479% Fair
734→222380% Fair
738→422390% Good
739→261185% Good
740→91384% Fair
741→63379% Fair
742→62382% Fair
743→252586% Good
744→251285% Good
745→253186% Good
746→251189% Good
747→012482% Fair
754→92184% Fair
758→263381% Fair
760→301393% Best
761→301289% Good
762→491184% Fair
772→212185% Good
775→1441100% Best
777→302681% Fair
778→303278% Fair
779→343584% Fair
780→2413100% Best
782→251689% Good
783→2534100% Best
791→491683% Fair
792→133685% Good
793→491491% Good
794→491366% Approx
796→491683% Fair
797→11681% Fair
798→491483% Fair
799→492379% Fair
800→493282% Fair
801→411685% Good
803→11689% Good
807→491393% Best
809→491383% Fair
813→491393% Best
814→463679% Fair
815→264684% Fair
816→462490% Good
817→292475% Fair
818→294185% Good
819→102176% Fair
820→491673% Approx
822→371291% Good
823→141695% Best
824→141491% Good
825→493589% Good
826→492488% Good
827→493286% Good
828→144285% Good
829→374583% Fair
830→3745100% Best
831→221491% Good
832→2235100% Best
833→2233100% Best
834→2234100% Best
838→384675% Fair
839→343589% Good
840→343486% Good
841→343386% Good
842→S415390% Good
844→342661% Approx
869→4121100% Best
890→183679% Fair
891→101582% Fair
892→101588% Good
893→294484% Fair
894→387888% Good
895→183687% Good
898→411683% Fair
899→302380% Fair
900→63687% Good
902→463687% Good
904→246100% Best
905→23583% Fair
906→223100% Best
907→24484% Fair
909→182585% Good
910→183477% Fair
911→14482% Fair
912→21490% Good
913→213100% Best
915→304669% Approx
917→1045100% Best
918→411573% Approx
919→262567% Approx
920→2625100% Best
921→2615100% Best
922→262481% Fair
924→173674% Approx
926→538588% Good
927→275778% Fair
928→174189% Good
930→171579% Fair
931→142282% Fair
932→171492% Good
934→184676% Fair
935→372677% Fair
936→3725100% Best
937→213583% Fair
938→413683% Fair
939→141686% Good
943→5103100% Best
945→92186% Good
946→91489% Good
947→63485% Good
948→291280% Fair
950→92178% Fair
951→263282% Fair
954→22277% Fair
955→21174% Approx
956→294484% Fair
957→387882% Fair
958→510381% Fair
959→5102100% Best
961→301490% Good
962→302391% Good
963→301179% Fair
964→501287% Good
966→183289% Good
967→291394% Best
970→91388% Good
972→62386% Good
973→536100% Best
975→4215100% Best
976→4212100% Best
977→63291% Good
986→23682% Fair
987→24677% Fair
988→023397% Best
989→213478% Fair
991→20485% Good
992→510384% Fair
993→510274% Approx
995→493490% Good
996→996100% Best
3011→3724100% Best
3012→214580% Fair
3013→213375% Fair
3021→383686% Good
3022→342484% Fair
3023→384367% Approx
3024→383184% Fair
3031→453682% Fair
3032→383478% Fair
3033→F1195% Best
3041→511490% Good
3042→511391% Good
3045→3742100% Best
3046→2231100% Best
3047→3721100% Best
3051→372685% Good
3052→3714100% Best
3053→3722100% Best
3064→461191% Good
3072→538385% Good
3078→532100% Best
3325→493292% Good
3326→102389% Good
3328→292388% Good
3340→92381% Fair
3341→92272% Approx
3345→213695% Best
3346→6115100% Best
3347→213483% Fair
3348→213376% Fair
3350→462389% Good
3354→102382% Fair
3362→3726100% Best
3363→184573% Approx
3364→372288% Good
3371→384681% Fair
3607→304476% Fair
3608→131359% Approx
3609→103367% Approx
3685→304673% Approx
3687→302493% Best
3688→302390% Good
3689→3042100% Best
3705→101587% Good
3706→102481% Fair
3708→101483% Fair
3712→93480% Fair
3713→294188% Good
3716→102381% Fair
3721→94679% Fair
3722→462380% Fair
3726→463588% Good
3727→303282% Fair
3731→302482% Fair
3733→302387% Good
3740→464673% Approx
3743→131284% Fair
3746→133577% Fair
3747→491275% Fair
3750→142473% Approx
3752→171290% Good
3753→144180% Fair
3755→491398% Best
3756→012168% Approx
3760→11483% Fair
3761→144291% Good
3765→126100% Best
3766→125100% Best
3768→174674% Approx
3770→Creme78% Fair
3771→263390% Good
3772→414283% Fair
3774→264192% Good
3776→61581% Fair
3777→292688% Good
3778→263475% Fair
3779→93179% Fair
3781→383684% Fair
3782→F1884% Fair
3787→373570% Approx
3790→319580% Fair
3799→173670% Approx
3801→94196% Best
3802→463677% Fair
3803→304683% Fair
3804→302475% Fair
3805→103481% Fair
3806→302373% Approx
3807→491576% Fair
3808→541584% Fair
3809→172685% Good
3810→172484% Fair
3811→012484% Fair
3812→510379% Fair
3813→182379% Fair
3814→182566% Approx
3815→502476% Fair
3816→502379% Fair
3817→14383% Fair
3818→14591% Good
3819→51486% Good
3820→224481% Fair
3821→224390% Good
3822→522100% Best
3823→251186% Good
3824→264276% Fair
3825→2622100% Best
3826→4213100% Best
3827→2613100% Best
3828→4243100% Best
3829→2236100% Best
3830→264482% Fair
3831→293596% Best
3832→388094% Best
3833→301486% Good
3834→104683% Fair
3835→304580% Fair
3836→331374% Approx
3837→132585% Good
3838→491483% Fair
3839→491473% Approx
3840→491372% Approx
3841→492191% Good
3842→141488% Good
3843→144586% Good
3844→144484% Fair
3845→12573% Approx
3846→11382% Fair
3847→20493% Best
3848→538655% Approx
3849→13367% Approx
3850→14480% Fair
3851→510372% Approx
3852→224594% Best
3853→61584% Fair
3854→261379% Fair
3855→62288% Good
3856→64393% Best
3857→412378% Fair
3858→414394% Best
3859→414183% Fair
3860→319574% Approx
3861→343464% Approx
3862→411481% Fair
3863→452582% Fair
3864→411390% Good
3865→BLANC82% Fair
3866→F0194% Best
504→21181% Fair
731→51682% Fair
776→301286% Good
781→224692% Good
806→172585% Good
971→91381% Fair
3773→263372% Approx

Most Soie d'Alger colors are sampled from close-up photographs of each shade and cross-checked against a second, independent set of photos.

Convert between Soie d'Alger 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.

Silk to cotton, and cotton to silk

Soie d'Alger is Au Ver à Soie's stranded silk, made in more than 620 colors; this chart holds 643 of them. A DMC substitute matches the color of a silk shade, not its sheen — silk reflects light more deeply than cotton, so a stitched area in DMC will look a little flatter than the original.

The DMC to Soie d'Alger table works the other way: start from a design charted in DMC and find the silk closest to each color, which is how many stitchers upgrade a favorite pattern to silk.

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 substitute DMC for Soie d'Alger?
Yes, for color. The chart gives the closest DMC cotton for every Soie d'Alger shade with a match quality. The DMC version will have less sheen than silk, which matters most on large areas of one color.
How do I convert a DMC pattern to silk?
Use the DMC to Soie d'Alger table below, or set DMC as the source in the converter. It lists the closest Soie d'Alger shade for every DMC number.
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