Luca-S to DMC thread conversion chart
Find the closest DMC match for any Luca-S floss number — for Luca-S kits and charts you want to stitch from a DMC stash. Also converts DMC to Luca-S.
511 colors matched using perceptual color distance.
Full Luca-S to DMC conversion chart
511 color matches, ranked by match quality. Click any row for alternatives.
| Code | → | Code | Match | ||
|---|---|---|---|---|---|
| 1 | → | 225 | 86% Good | ||
| 2 | → | 3779 | 84% Fair | ||
| 3 | → | 352 | 86% Good | ||
| 4 | → | 352 | 83% Fair | ||
| 5 | → | 3712 | 91% Good | ||
| 6 | → | 3328 | 91% Good | ||
| 7 | → | 22 | 88% Good | ||
| 8 | → | 3774 | 92% Good | ||
| 9 | → | 758 | 80% Fair | ||
| 10 | → | 351 | 90% Good | ||
| 11 | → | 922 | 80% Fair | ||
| 12 | → | 900 | 88% Good | ||
| 13 | → | 666 | 90% Good | ||
| 14 | → | 760 | 80% Fair | ||
| 15 | → | 352 | 81% Fair | ||
| 16 | → | 351 | 83% Fair | ||
| 17 | → | 351 | 90% Good | ||
| 18 | → | 606 | 83% Fair | ||
| 19 | → | 817 | 89% Good | ||
| 20 | → | 349 | 82% Fair | ||
| 21 | → | 22 | 81% Fair | ||
| 22 | → | 221 | 71% Approx | ||
| 23 | → | 819 | 85% Good | ||
| 24 | → | 151 | 88% Good | ||
| 25 | → | 893 | 89% Good | ||
| 26 | → | 335 | 89% Good | ||
| 27 | → | 347 | 84% Fair | ||
| 28 | → | 326 | 90% Good | ||
| 29 | → | 777 | 92% Good | ||
| 30 | → | 777 | 90% Good | ||
| 31 | → | 23 | 67% Approx | ||
| 32 | → | 3713 | 84% Fair | ||
| 33 | → | 3354 | 90% Good | ||
| 34 | → | 3706 | 85% Good | ||
| 35 | → | 309 | 80% Fair | ||
| 36 | → | 818 | 82% Fair | ||
| 37 | → | 761 | 81% Fair | ||
| 38 | → | 899 | 92% Good | ||
| 39 | → | 3713 | 85% Good | ||
| 40 | → | 224 | 78% Fair | ||
| 41 | → | 3712 | 82% Fair | ||
| 42 | → | 3832 | 91% Good | ||
| 43 | → | 498 | 95% Best | ||
| 44 | → | 3713 | 77% Fair | ||
| 45 | → | 963 | 77% Fair | ||
| 46 | → | 899 | 87% Good | ||
| 47 | → | 961 | 87% Good | ||
| 48 | → | 3731 | 90% Good | ||
| 49 | → | 3831 | 90% Good | ||
| 50 | → | 948 | 86% Good | ||
| 51 | → | 225 | 89% Good | ||
| 52 | → | 758 | 78% Fair | ||
| 53 | → | 352 | 85% Good | ||
| 54 | → | 3340 | 87% Good | ||
| 55 | → | 350 | 87% Good | ||
| 56 | → | 819 | 78% Fair | ||
| 57 | → | 3689 | 78% Fair | ||
| 58 | → | 605 | 87% Good | ||
| 59 | → | 957 | 84% Fair | ||
| 60 | → | 603 | 83% Fair | ||
| 61 | → | 3832 | 80% Fair | ||
| 62 | → | 3832 | 81% Fair | ||
| 63 | → | 604 | 87% Good | ||
| 64 | → | 3806 | 79% Fair | ||
| 65 | → | 601 | 86% Good | ||
| 66 | → | 3689 | 70% Approx | ||
| 67 | → | 153 | 74% Approx | ||
| 68 | → | 3609 | 80% Fair | ||
| 69 | → | 3607 | 87% Good | ||
| 70 | → | 718 | 76% Fair | ||
| 71 | → | 917 | 85% Good | ||
| 72 | → | 3608 | 84% Fair | ||
| 73 | → | 553 | 79% Fair | ||
| 74 | → | 34 | 75% Fair | ||
| 75 | → | 35 | 75% Fair | ||
| 76 | → | 819 | 80% Fair | ||
| 77 | → | 3779 | 80% Fair | ||
| 78 | → | 760 | 84% Fair | ||
| 79 | → | 3778 | 87% Good | ||
| 80 | → | 3722 | 89% Good | ||
| 81 | → | 3830 | 82% Fair | ||
| 82 | → | 815 | 86% Good | ||
| 83 | → | 778 | 83% Fair | ||
| 84 | → | 778 | 94% Best | ||
| 85 | → | 3727 | 81% Fair | ||
| 86 | → | 778 | 79% Fair | ||
| 87 | → | 152 | 81% Fair | ||
| 88 | → | 223 | 73% Approx | ||
| 89 | → | 3858 | 75% Fair | ||
| 90 | → | 902 | 90% Good | ||
| 91 | → | 814 | 85% Good | ||
| 92 | → | 25 | 81% Fair | ||
| 93 | → | 452 | 68% Approx | ||
| 94 | → | 27 | 72% Approx | ||
| 95 | → | 3743 | 65% Approx | ||
| 96 | → | 3042 | 74% Approx | ||
| 97 | → | 3041 | 91% Good | ||
| 98 | → | 3041 | 81% Fair | ||
| 99 | → | 3740 | 86% Good | ||
| 100 | → | 938 | 71% Approx | ||
| 101 | → | 762 | 83% Fair | ||
| 102 | → | 26 | 84% Fair | ||
| 103 | → | 3041 | 54% Approx | ||
| 104 | → | 29 | 77% Fair | ||
| 105 | → | 3836 | 91% Good | ||
| 106 | → | 3835 | 78% Fair | ||
| 107 | → | 154 | 80% Fair | ||
| 108 | → | 154 | 82% Fair | ||
| 109 | → | 23 | 82% Fair | ||
| 110 | → | 3689 | 82% Fair | ||
| 111 | → | 3733 | 88% Good | ||
| 112 | → | 602 | 87% Good | ||
| 113 | → | 150 | 82% Fair | ||
| 114 | → | 777 | 95% Best | ||
| 115 | → | 23 | 90% Good | ||
| 116 | → | 211 | 79% Fair | ||
| 117 | → | 554 | 79% Fair | ||
| 118 | → | 209 | 74% Approx | ||
| 119 | → | 208 | 88% Good | ||
| 120 | → | 34 | 88% Good | ||
| 121 | → | 211 | 73% Approx | ||
| 122 | → | 210 | 88% Good | ||
| 123 | → | 209 | 75% Fair | ||
| 124 | → | 209 | 65% Approx | ||
| 125 | → | 208 | 76% Fair | ||
| 126 | → | 550 | 67% Approx | ||
| 127 | → | 340 | 65% Approx | ||
| 128 | → | 340 | 74% Approx | ||
| 129 | → | 340 | 67% Approx | ||
| 130 | → | 340 | 76% Fair | ||
| 131 | → | 3746 | 91% Good | ||
| 132 | → | 550 | 70% Approx | ||
| 133 | → | 30 | 78% Fair | ||
| 134 | → | 155 | 86% Good | ||
| 135 | → | 32 | 76% Fair | ||
| 136 | → | 25 | 87% Good | ||
| 137 | → | 3747 | 84% Fair | ||
| 138 | → | 341 | 97% Best | ||
| 139 | → | 794 | 84% Fair | ||
| 140 | → | 3839 | 83% Fair | ||
| 141 | → | 3838 | 78% Fair | ||
| 142 | → | 796 | 87% Good | ||
| 143 | → | 796 | 84% Fair | ||
| 144 | → | 3747 | 91% Good | ||
| 145 | → | 3840 | 85% Good | ||
| 146 | → | 794 | 77% Fair | ||
| 147 | → | 3839 | 78% Fair | ||
| 148 | → | 3807 | 75% Fair | ||
| 149 | → | 797 | 73% Approx | ||
| 150 | → | 820 | 82% Fair | ||
| 151 | → | 3747 | 76% Fair | ||
| 152 | → | 159 | 90% Good | ||
| 153 | → | 156 | 88% Good | ||
| 154 | → | 3747 | 83% Fair | ||
| 155 | → | 3840 | 92% Good | ||
| 156 | → | 3838 | 86% Good | ||
| 157 | → | 792 | 94% Best | ||
| 158 | → | 797 | 91% Good | ||
| 159 | → | 336 | 82% Fair | ||
| 160 | → | 939 | 88% Good | ||
| 161 | → | 747 | 77% Fair | ||
| 162 | → | 747 | 84% Fair | ||
| 163 | → | 3761 | 80% Fair | ||
| 164 | → | 3846 | 73% Approx | ||
| 165 | → | 3765 | 88% Good | ||
| 166 | → | 3809 | 81% Fair | ||
| 167 | → | 928 | 88% Good | ||
| 168 | → | 928 | 83% Fair | ||
| 169 | → | 169 | 68% Approx | ||
| 170 | → | 3768 | 79% Fair | ||
| 171 | → | 924 | 75% Fair | ||
| 172 | → | 775 | 79% Fair | ||
| 173 | → | 3761 | 86% Good | ||
| 174 | → | 3766 | 80% Fair | ||
| 175 | → | 807 | 79% Fair | ||
| 176 | → | 995 | 87% Good | ||
| 177 | → | 825 | 86% Good | ||
| 178 | → | 797 | 82% Fair | ||
| 179 | → | 803 | 88% Good | ||
| 180 | → | 3756 | 82% Fair | ||
| 181 | → | 775 | 79% Fair | ||
| 182 | → | 775 | 79% Fair | ||
| 183 | → | 162 | 86% Good | ||
| 184 | → | 800 | 95% Best | ||
| 185 | → | 3755 | 82% Fair | ||
| 186 | → | 825 | 83% Fair | ||
| 187 | → | 803 | 85% Good | ||
| 188 | → | 823 | 75% Fair | ||
| 189 | → | 3865 | 79% Fair | ||
| 190 | → | 3753 | 82% Fair | ||
| 191 | → | 3841 | 90% Good | ||
| 192 | → | 157 | 84% Fair | ||
| 193 | → | 799 | 72% Approx | ||
| 194 | → | 930 | 80% Fair | ||
| 195 | → | 311 | 86% Good | ||
| 196 | → | 775 | 83% Fair | ||
| 197 | → | 747 | 86% Good | ||
| 198 | → | 3325 | 91% Good | ||
| 199 | → | 3844 | 84% Fair | ||
| 200 | → | 3843 | 79% Fair | ||
| 201 | → | 3760 | 89% Good | ||
| 202 | → | 825 | 92% Good | ||
| 203 | → | 3842 | 87% Good | ||
| 204 | → | 3846 | 84% Fair | ||
| 205 | → | 3846 | 66% Approx | ||
| 206 | → | 3843 | 84% Fair | ||
| 207 | → | 3843 | 82% Fair | ||
| 208 | → | 3846 | 61% Approx | ||
| 209 | → | 3846 | 74% Approx | ||
| 210 | → | 3846 | 94% Best | ||
| 211 | → | 504 | 69% Approx | ||
| 212 | → | 964 | 76% Fair | ||
| 213 | → | 959 | 91% Good | ||
| 214 | → | 959 | 86% Good | ||
| 215 | → | 504 | 77% Fair | ||
| 216 | → | 964 | 72% Approx | ||
| 217 | → | 959 | 80% Fair | ||
| 218 | → | 992 | 90% Good | ||
| 219 | → | 598 | 76% Fair | ||
| 220 | → | 598 | 77% Fair | ||
| 221 | → | 3848 | 75% Fair | ||
| 222 | → | 3848 | 87% Good | ||
| 223 | → | 504 | 75% Fair | ||
| 224 | → | 504 | 82% Fair | ||
| 225 | → | 911 | 71% Approx | ||
| 226 | → | 562 | 82% Fair | ||
| 227 | → | 3813 | 78% Fair | ||
| 228 | → | 563 | 84% Fair | ||
| 229 | → | 563 | 77% Fair | ||
| 230 | → | 3816 | 83% Fair | ||
| 231 | → | 3815 | 91% Good | ||
| 232 | → | 504 | 60% Approx | ||
| 233 | → | 3817 | 89% Good | ||
| 234 | → | 3817 | 83% Fair | ||
| 235 | → | 502 | 86% Good | ||
| 236 | → | 500 | 90% Good | ||
| 237 | → | 369 | 69% Approx | ||
| 238 | → | 772 | 75% Fair | ||
| 239 | → | 955 | 89% Good | ||
| 240 | → | 954 | 87% Good | ||
| 241 | → | 954 | 83% Fair | ||
| 242 | → | 912 | 86% Good | ||
| 243 | → | 702 | 82% Fair | ||
| 244 | → | 911 | 82% Fair | ||
| 245 | → | 699 | 79% Fair | ||
| 246 | → | 10 | 73% Approx | ||
| 247 | → | 369 | 72% Approx | ||
| 248 | → | 368 | 84% Fair | ||
| 249 | → | 3816 | 66% Approx | ||
| 250 | → | 319 | 86% Good | ||
| 251 | → | 319 | 84% Fair | ||
| 252 | → | 772 | 80% Fair | ||
| 253 | → | 3348 | 84% Fair | ||
| 254 | → | 704 | 84% Fair | ||
| 255 | → | 702 | 81% Fair | ||
| 256 | → | 904 | 86% Good | ||
| 257 | → | 986 | 86% Good | ||
| 258 | → | 14 | 79% Fair | ||
| 259 | → | 165 | 93% Best | ||
| 260 | → | 15 | 85% Good | ||
| 261 | → | 3819 | 76% Fair | ||
| 262 | → | 3348 | 79% Fair | ||
| 263 | → | 906 | 79% Fair | ||
| 264 | → | 3346 | 85% Good | ||
| 265 | → | 937 | 88% Good | ||
| 266 | → | 904 | 79% Fair | ||
| 267 | → | 907 | 89% Good | ||
| 268 | → | 470 | 77% Fair | ||
| 269 | → | 524 | 71% Approx | ||
| 270 | → | 524 | 71% Approx | ||
| 271 | → | 989 | 74% Approx | ||
| 272 | → | 895 | 90% Good | ||
| 273 | → | 890 | 94% Best | ||
| 274 | → | 165 | 79% Fair | ||
| 275 | → | 165 | 87% Good | ||
| 276 | → | 580 | 73% Approx | ||
| 277 | → | 580 | 88% Good | ||
| 278 | → | 936 | 90% Good | ||
| 279 | → | 934 | 69% Approx | ||
| 280 | → | 989 | 80% Fair | ||
| 281 | → | 3348 | 63% Approx | ||
| 282 | → | 702 | 68% Approx | ||
| 283 | → | 702 | 84% Fair | ||
| 284 | → | 702 | 74% Approx | ||
| 285 | → | 701 | 91% Good | ||
| 286 | → | 15 | 77% Fair | ||
| 287 | → | 11 | 86% Good | ||
| 288 | → | 11 | 83% Fair | ||
| 289 | → | 165 | 72% Approx | ||
| 290 | → | 704 | 75% Fair | ||
| 291 | → | 905 | 70% Approx | ||
| 292 | → | 904 | 84% Fair | ||
| 293 | → | 445 | 78% Fair | ||
| 294 | → | 307 | 73% Approx | ||
| 295 | → | 445 | 72% Approx | ||
| 296 | → | 3819 | 86% Good | ||
| 297 | → | 3819 | 82% Fair | ||
| 298 | → | 470 | 81% Fair | ||
| 299 | → | 3364 | 93% Best | ||
| 300 | → | 524 | 81% Fair | ||
| 301 | → | 3363 | 97% Best | ||
| 302 | → | 14 | 84% Fair | ||
| 303 | → | 3013 | 78% Fair | ||
| 304 | → | 581 | 70% Approx | ||
| 305 | → | 580 | 74% Approx | ||
| 306 | → | 11 | 85% Good | ||
| 307 | → | 17 | 79% Fair | ||
| 308 | → | 17 | 87% Good | ||
| 309 | → | 18 | 78% Fair | ||
| 310 | → | 733 | 83% Fair | ||
| 311 | → | 732 | 79% Fair | ||
| 312 | → | 730 | 77% Fair | ||
| 313 | → | 12 | 79% Fair | ||
| 314 | → | 734 | 84% Fair | ||
| 315 | → | 733 | 82% Fair | ||
| 316 | → | 732 | 88% Good | ||
| 317 | → | 3047 | 78% Fair | ||
| 318 | → | 3046 | 84% Fair | ||
| 319 | → | 370 | 89% Good | ||
| 320 | → | 831 | 92% Good | ||
| 321 | → | 307 | 78% Fair | ||
| 322 | → | 973 | 79% Fair | ||
| 323 | → | 18 | 85% Good | ||
| 324 | → | 834 | 71% Approx | ||
| 325 | → | 834 | 76% Fair | ||
| 326 | → | 832 | 76% Fair | ||
| 327 | → | 831 | 80% Fair | ||
| 328 | → | 830 | 84% Fair | ||
| 329 | → | 746 | 86% Good | ||
| 330 | → | 677 | 79% Fair | ||
| 331 | → | 3046 | 82% Fair | ||
| 332 | → | 833 | 87% Good | ||
| 333 | → | 680 | 80% Fair | ||
| 334 | → | 167 | 72% Approx | ||
| 335 | → | 3047 | 78% Fair | ||
| 336 | → | 834 | 80% Fair | ||
| 337 | → | 422 | 84% Fair | ||
| 338 | → | 729 | 83% Fair | ||
| 339 | → | 744 | 88% Good | ||
| 340 | → | 3822 | 86% Good | ||
| 341 | → | 3852 | 79% Fair | ||
| 342 | → | 3852 | 85% Good | ||
| 343 | → | 726 | 85% Good | ||
| 344 | → | 743 | 84% Fair | ||
| 345 | → | 3821 | 80% Fair | ||
| 346 | → | 728 | 77% Fair | ||
| 347 | → | 444 | 96% Best | ||
| 348 | → | 3820 | 84% Fair | ||
| 349 | → | 3852 | 89% Good | ||
| 350 | → | 780 | 72% Approx | ||
| 351 | → | 3823 | 85% Good | ||
| 352 | → | 744 | 93% Best | ||
| 353 | → | 3855 | 82% Fair | ||
| 354 | → | 3820 | 79% Fair | ||
| 355 | → | 742 | 85% Good | ||
| 356 | → | 3821 | 90% Good | ||
| 357 | → | 3820 | 84% Fair | ||
| 358 | → | 976 | 76% Fair | ||
| 359 | → | 976 | 83% Fair | ||
| 360 | → | 434 | 94% Best | ||
| 361 | → | 307 | 79% Fair | ||
| 362 | → | 307 | 94% Best | ||
| 363 | → | 307 | 91% Good | ||
| 364 | → | 3078 | 95% Best | ||
| 365 | → | 307 | 91% Good | ||
| 366 | → | 973 | 89% Good | ||
| 367 | → | 444 | 87% Good | ||
| 368 | → | 728 | 83% Fair | ||
| 369 | → | 712 | 87% Good | ||
| 370 | → | 3823 | 87% Good | ||
| 371 | → | 727 | 89% Good | ||
| 372 | → | 973 | 87% Good | ||
| 373 | → | 973 | 93% Best | ||
| 374 | → | 444 | 89% Good | ||
| 375 | → | 972 | 91% Good | ||
| 376 | → | 741 | 80% Fair | ||
| 377 | → | 741 | 86% Good | ||
| 378 | → | 741 | 95% Best | ||
| 379 | → | 741 | 86% Good | ||
| 380 | → | 817 | 74% Approx | ||
| 381 | → | 712 | 76% Fair | ||
| 382 | → | 951 | 95% Best | ||
| 383 | → | 3770 | 85% Good | ||
| 384 | → | 967 | 90% Good | ||
| 385 | → | 3825 | 84% Fair | ||
| 386 | → | 3854 | 78% Fair | ||
| 387 | → | 977 | 81% Fair | ||
| 388 | → | 721 | 93% Best | ||
| 389 | → | 676 | 90% Good | ||
| 390 | → | 728 | 82% Fair | ||
| 391 | → | 971 | 80% Fair | ||
| 392 | → | 3853 | 77% Fair | ||
| 393 | → | 3820 | 76% Fair | ||
| 394 | → | 976 | 76% Fair | ||
| 395 | → | 3776 | 85% Good | ||
| 396 | → | 301 | 91% Good | ||
| 397 | → | 400 | 83% Fair | ||
| 398 | → | 3856 | 85% Good | ||
| 399 | → | 676 | 78% Fair | ||
| 400 | → | 977 | 91% Good | ||
| 401 | → | 976 | 91% Good | ||
| 402 | → | 780 | 86% Good | ||
| 403 | → | 869 | 80% Fair | ||
| 404 | → | 543 | 85% Good | ||
| 405 | → | 3774 | 92% Good | ||
| 406 | → | 3856 | 96% Best | ||
| 407 | → | 3773 | 86% Good | ||
| 408 | → | 3773 | 75% Fair | ||
| 409 | → | 21 | 89% Good | ||
| 410 | → | 919 | 84% Fair | ||
| 411 | → | 221 | 79% Fair | ||
| 412 | → | 950 | 81% Fair | ||
| 413 | → | 407 | 85% Good | ||
| 414 | → | 3858 | 76% Fair | ||
| 415 | → | 918 | 96% Best | ||
| 416 | → | ECRU | 85% Good | ||
| 417 | → | 543 | 86% Good | ||
| 418 | → | 543 | 90% Good | ||
| 419 | → | 951 | 88% Good | ||
| 420 | → | 950 | 88% Good | ||
| 421 | → | 437 | 84% Fair | ||
| 422 | → | 3064 | 76% Fair | ||
| 423 | → | 975 | 77% Fair | ||
| 424 | → | 300 | 89% Good | ||
| 425 | → | 898 | 83% Fair | ||
| 426 | → | 27 | 79% Fair | ||
| 427 | → | 453 | 80% Fair | ||
| 428 | → | 452 | 69% Approx | ||
| 429 | → | 3790 | 79% Fair | ||
| 430 | → | 05 | 77% Fair | ||
| 431 | → | 452 | 79% Fair | ||
| 432 | → | 452 | 79% Fair | ||
| 433 | → | 3860 | 84% Fair | ||
| 434 | → | 779 | 84% Fair | ||
| 435 | → | 09 | 83% Fair | ||
| 436 | → | 762 | 90% Good | ||
| 437 | → | 03 | 73% Approx | ||
| 438 | → | 535 | 86% Good | ||
| 439 | → | 543 | 79% Fair | ||
| 440 | → | 543 | 88% Good | ||
| 441 | → | 841 | 79% Fair | ||
| 442 | → | 167 | 89% Good | ||
| 443 | → | 3031 | 75% Fair | ||
| 444 | → | 3865 | 77% Fair | ||
| 445 | → | 712 | 95% Best | ||
| 446 | → | 822 | 77% Fair | ||
| 447 | → | 677 | 90% Good | ||
| 448 | → | 3822 | 84% Fair | ||
| 449 | → | 19 | 84% Fair | ||
| 450 | → | 729 | 89% Good | ||
| 451 | → | 420 | 83% Fair | ||
| 452 | → | 829 | 84% Fair | ||
| 453 | → | 869 | 89% Good | ||
| 454 | → | 3781 | 72% Approx | ||
| 455 | → | 938 | 81% Fair | ||
| 456 | → | 3371 | 71% Approx | ||
| 457 | → | 712 | 86% Good | ||
| 458 | → | ECRU | 89% Good | ||
| 459 | → | 3866 | 88% Good | ||
| 460 | → | 644 | 79% Fair | ||
| 461 | → | 613 | 73% Approx | ||
| 462 | → | 3032 | 85% Good | ||
| 463 | → | 645 | 80% Fair | ||
| 464 | → | 844 | 73% Approx | ||
| 465 | → | 3866 | 84% Fair | ||
| 466 | → | 822 | 79% Fair | ||
| 467 | → | 3782 | 91% Good | ||
| 468 | → | 830 | 82% Fair | ||
| 469 | → | 3865 | 71% Approx | ||
| 470 | → | 543 | 86% Good | ||
| 471 | → | 3864 | 86% Good | ||
| 472 | → | 3863 | 75% Fair | ||
| 473 | → | 3781 | 79% Fair | ||
| 474 | → | 3781 | 74% Approx | ||
| 475 | → | 3774 | 82% Fair | ||
| 476 | → | 841 | 93% Best | ||
| 477 | → | 3863 | 96% Best | ||
| 478 | → | 801 | 73% Approx | ||
| 479 | → | 829 | 81% Fair | ||
| 480 | → | 644 | 85% Good | ||
| 481 | → | 644 | 81% Fair | ||
| 482 | → | 642 | 77% Fair | ||
| 483 | → | 610 | 88% Good | ||
| 484 | → | 3031 | 73% Approx | ||
| 485 | → | 648 | 77% Fair | ||
| 486 | → | 3022 | 75% Fair | ||
| 487 | → | 645 | 79% Fair | ||
| 488 | → | 935 | 80% Fair | ||
| 489 | → | 3072 | 88% Good | ||
| 490 | → | 648 | 80% Fair | ||
| 491 | → | 3023 | 76% Fair | ||
| 492 | → | 936 | 79% Fair | ||
| 493 | → | 3072 | 81% Fair | ||
| 494 | → | 10 | 77% Fair | ||
| 495 | → | 3023 | 80% Fair | ||
| 496 | → | 01 | 76% Fair | ||
| 497 | → | 646 | 80% Fair | ||
| 498 | → | 3787 | 80% Fair | ||
| 499 | → | 762 | 90% Good | ||
| 500 | → | 318 | 78% Fair | ||
| 501 | → | 317 | 93% Best | ||
| 502 | → | 413 | 77% Fair | ||
| 503 | → | 27 | 84% Fair | ||
| 504 | → | 762 | 90% Good | ||
| 505 | → | 415 | 68% Approx | ||
| 506 | → | 415 | 67% Approx | ||
| 507 | → | 317 | 81% Fair | ||
| 508 | → | 413 | 80% Fair | ||
| 509 | → | 3799 | 84% Fair | ||
| Black | → | 310 | 97% Best | ||
| White | → | BLANC | 94% Best |
Full DMC to Luca-S conversion chart
489 color matches, ranked by match quality. Click any row for alternatives.
| Code | → | Code | Match | ||
|---|---|---|---|---|---|
| B5200 | → | White | 87% Good | ||
| BLANC | → | White | 94% Best | ||
| ECRU | → | 458 | 89% Good | ||
| 01 | → | 504 | 86% Good | ||
| 02 | → | 167 | 71% Approx | ||
| 03 | → | 437 | 73% Approx | ||
| 04 | → | 497 | 74% Approx | ||
| 05 | → | 430 | 77% Fair | ||
| 06 | → | 467 | 63% Approx | ||
| 07 | → | 429 | 68% Approx | ||
| 08 | → | 429 | 73% Approx | ||
| 09 | → | 435 | 83% Fair | ||
| 10 | → | 493 | 80% Fair | ||
| 11 | → | 287 | 86% Good | ||
| 12 | → | 259 | 92% Good | ||
| 13 | → | 224 | 74% Approx | ||
| 14 | → | 302 | 84% Fair | ||
| 15 | → | 260 | 85% Good | ||
| 16 | → | 262 | 73% Approx | ||
| 17 | → | 308 | 87% Good | ||
| 18 | → | 308 | 87% Good | ||
| 19 | → | 449 | 84% Fair | ||
| 20 | → | 382 | 92% Good | ||
| 21 | → | 409 | 89% Good | ||
| 22 | → | 7 | 88% Good | ||
| 23 | → | 115 | 90% Good | ||
| 24 | → | 115 | 86% Good | ||
| 25 | → | 136 | 87% Good | ||
| 26 | → | 102 | 84% Fair | ||
| 27 | → | 503 | 84% Fair | ||
| 28 | → | 153 | 70% Approx | ||
| 29 | → | 104 | 77% Fair | ||
| 30 | → | 133 | 78% Fair | ||
| 31 | → | 156 | 77% Fair | ||
| 32 | → | 135 | 76% Fair | ||
| 33 | → | 119 | 80% Fair | ||
| 34 | → | 120 | 88% Good | ||
| 35 | → | 75 | 75% Fair | ||
| 150 | → | 29 | 83% Fair | ||
| 151 | → | 24 | 88% Good | ||
| 152 | → | 87 | 81% Fair | ||
| 153 | → | 117 | 78% Fair | ||
| 154 | → | 108 | 82% Fair | ||
| 155 | → | 134 | 86% Good | ||
| 156 | → | 153 | 88% Good | ||
| 157 | → | 145 | 84% Fair | ||
| 158 | → | 158 | 76% Fair | ||
| 159 | → | 152 | 90% Good | ||
| 160 | → | 153 | 77% Fair | ||
| 161 | → | 156 | 72% Approx | ||
| 162 | → | 183 | 86% Good | ||
| 163 | → | 235 | 84% Fair | ||
| 164 | → | 240 | 79% Fair | ||
| 165 | → | 259 | 93% Best | ||
| 166 | → | 297 | 75% Fair | ||
| 167 | → | 442 | 89% Good | ||
| 168 | → | 167 | 81% Fair | ||
| 169 | → | 169 | 68% Approx | ||
| 208 | → | 119 | 88% Good | ||
| 209 | → | 123 | 75% Fair | ||
| 210 | → | 122 | 88% Good | ||
| 211 | → | 116 | 79% Fair | ||
| 221 | → | 82 | 85% Good | ||
| 223 | → | 88 | 73% Approx | ||
| 224 | → | 40 | 78% Fair | ||
| 225 | → | 51 | 89% Good | ||
| 300 | → | 424 | 89% Good | ||
| 301 | → | 396 | 91% Good | ||
| 304 | → | 43 | 84% Fair | ||
| 307 | → | 362 | 94% Best | ||
| 309 | → | 49 | 87% Good | ||
| 310 | → | Black | 97% Best | ||
| 311 | → | 195 | 86% Good | ||
| 312 | → | 203 | 78% Fair | ||
| 315 | → | 99 | 73% Approx | ||
| 316 | → | 105 | 69% Approx | ||
| 317 | → | 501 | 93% Best | ||
| 318 | → | 500 | 78% Fair | ||
| 319 | → | 250 | 86% Good | ||
| 320 | → | 225 | 70% Approx | ||
| 321 | → | 27 | 82% Fair | ||
| 322 | → | 186 | 71% Approx | ||
| 326 | → | 28 | 90% Good | ||
| 327 | → | 120 | 74% Approx | ||
| 333 | → | 157 | 64% Approx | ||
| 334 | → | 176 | 86% Good | ||
| 335 | → | 26 | 89% Good | ||
| 336 | → | 159 | 82% Fair | ||
| 340 | → | 134 | 79% Fair | ||
| 341 | → | 138 | 97% Best | ||
| 347 | → | 49 | 86% Good | ||
| 349 | → | 13 | 84% Fair | ||
| 350 | → | 55 | 87% Good | ||
| 351 | → | 10 | 90% Good | ||
| 352 | → | 3 | 86% Good | ||
| 353 | → | 2 | 77% Fair | ||
| 355 | → | 7 | 84% Fair | ||
| 356 | → | 6 | 66% Approx | ||
| 367 | → | 231 | 81% Fair | ||
| 368 | → | 248 | 84% Fair | ||
| 369 | → | 258 | 79% Fair | ||
| 370 | → | 319 | 89% Good | ||
| 371 | → | 319 | 76% Fair | ||
| 372 | → | 462 | 70% Approx | ||
| 400 | → | 415 | 87% Good | ||
| 402 | → | 9 | 79% Fair | ||
| 407 | → | 413 | 85% Good | ||
| 413 | → | 508 | 80% Fair | ||
| 414 | → | 507 | 60% Approx | ||
| 415 | → | 192 | 69% Approx | ||
| 420 | → | 442 | 87% Good | ||
| 422 | → | 337 | 84% Fair | ||
| 433 | → | 424 | 76% Fair | ||
| 434 | → | 360 | 94% Best | ||
| 435 | → | 451 | 71% Approx | ||
| 436 | → | 450 | 76% Fair | ||
| 437 | → | 421 | 84% Fair | ||
| 444 | → | 347 | 96% Best | ||
| 445 | → | 293 | 78% Fair | ||
| 451 | → | 433 | 54% Approx | ||
| 452 | → | 431 | 79% Fair | ||
| 453 | → | 427 | 80% Fair | ||
| 469 | → | 277 | 85% Good | ||
| 470 | → | 298 | 81% Fair | ||
| 471 | → | 299 | 82% Fair | ||
| 472 | → | 259 | 86% Good | ||
| 498 | → | 43 | 95% Best | ||
| 500 | → | 236 | 90% Good | ||
| 501 | → | 236 | 65% Approx | ||
| 502 | → | 235 | 86% Good | ||
| 503 | → | 234 | 80% Fair | ||
| 505 | → | 231 | 80% Fair | ||
| 517 | → | 201 | 72% Approx | ||
| 518 | → | 199 | 81% Fair | ||
| 519 | → | 163 | 75% Fair | ||
| 520 | → | 272 | 73% Approx | ||
| 522 | → | 486 | 68% Approx | ||
| 523 | → | 300 | 76% Fair | ||
| 524 | → | 300 | 81% Fair | ||
| 535 | → | 438 | 86% Good | ||
| 543 | → | 418 | 90% Good | ||
| 550 | → | 132 | 70% Approx | ||
| 552 | → | 120 | 82% Fair | ||
| 553 | → | 73 | 79% Fair | ||
| 554 | → | 117 | 79% Fair | ||
| 561 | → | 250 | 70% Approx | ||
| 562 | → | 226 | 82% Fair | ||
| 563 | → | 228 | 84% Fair | ||
| 564 | → | 224 | 77% Fair | ||
| 580 | → | 277 | 88% Good | ||
| 581 | → | 298 | 75% Fair | ||
| 597 | → | 174 | 55% Approx | ||
| 598 | → | 220 | 77% Fair | ||
| 600 | → | 113 | 74% Approx | ||
| 601 | → | 65 | 86% Good | ||
| 602 | → | 112 | 87% Good | ||
| 603 | → | 60 | 83% Fair | ||
| 604 | → | 63 | 87% Good | ||
| 605 | → | 58 | 87% Good | ||
| 606 | → | 18 | 83% Fair | ||
| 608 | → | 388 | 83% Fair | ||
| 610 | → | 483 | 88% Good | ||
| 611 | → | 468 | 81% Fair | ||
| 612 | → | 482 | 74% Approx | ||
| 613 | → | 461 | 73% Approx | ||
| 632 | → | 423 | 75% Fair | ||
| 640 | → | 472 | 66% Approx | ||
| 642 | → | 495 | 79% Fair | ||
| 644 | → | 480 | 85% Good | ||
| 645 | → | 463 | 80% Fair | ||
| 646 | → | 497 | 80% Fair | ||
| 647 | → | 495 | 75% Fair | ||
| 648 | → | 490 | 80% Fair | ||
| 666 | → | 13 | 90% Good | ||
| 676 | → | 389 | 90% Good | ||
| 677 | → | 447 | 90% Good | ||
| 680 | → | 333 | 80% Fair | ||
| 699 | → | 245 | 79% Fair | ||
| 700 | → | 285 | 81% Fair | ||
| 701 | → | 285 | 91% Good | ||
| 702 | → | 283 | 84% Fair | ||
| 703 | → | 290 | 69% Approx | ||
| 704 | → | 254 | 84% Fair | ||
| 712 | → | 445 | 95% Best | ||
| 718 | → | 70 | 76% Fair | ||
| 720 | → | 11 | 70% Approx | ||
| 721 | → | 388 | 93% Best | ||
| 722 | → | 387 | 73% Approx | ||
| 725 | → | 356 | 81% Fair | ||
| 726 | → | 372 | 86% Good | ||
| 727 | → | 371 | 89% Good | ||
| 728 | → | 356 | 86% Good | ||
| 729 | → | 450 | 89% Good | ||
| 730 | → | 312 | 77% Fair | ||
| 732 | → | 316 | 88% Good | ||
| 733 | → | 310 | 83% Fair | ||
| 734 | → | 314 | 84% Fair | ||
| 738 | → | 421 | 72% Approx | ||
| 739 | → | 419 | 83% Fair | ||
| 740 | → | 391 | 79% Fair | ||
| 741 | → | 378 | 95% Best | ||
| 742 | → | 375 | 87% Good | ||
| 743 | → | 344 | 84% Fair | ||
| 744 | → | 352 | 93% Best | ||
| 745 | → | 352 | 89% Good | ||
| 746 | → | 329 | 86% Good | ||
| 747 | → | 197 | 86% Good | ||
| 754 | → | 384 | 83% Fair | ||
| 758 | → | 407 | 83% Fair | ||
| 760 | → | 46 | 85% Good | ||
| 761 | → | 24 | 86% Good | ||
| 762 | → | 504 | 90% Good | ||
| 772 | → | 252 | 80% Fair | ||
| 775 | → | 196 | 83% Fair | ||
| 777 | → | 114 | 95% Best | ||
| 778 | → | 84 | 94% Best | ||
| 779 | → | 434 | 84% Fair | ||
| 780 | → | 360 | 89% Good | ||
| 782 | → | 451 | 74% Approx | ||
| 783 | → | 349 | 85% Good | ||
| 791 | → | 159 | 73% Approx | ||
| 792 | → | 157 | 94% Best | ||
| 793 | → | 156 | 79% Fair | ||
| 794 | → | 139 | 84% Fair | ||
| 796 | → | 142 | 87% Good | ||
| 797 | → | 158 | 91% Good | ||
| 798 | → | 186 | 80% Fair | ||
| 799 | → | 176 | 76% Fair | ||
| 800 | → | 184 | 95% Best | ||
| 801 | → | 424 | 77% Fair | ||
| 803 | → | 179 | 88% Good | ||
| 807 | → | 175 | 79% Fair | ||
| 809 | → | 185 | 81% Fair | ||
| 813 | → | 185 | 77% Fair | ||
| 814 | → | 91 | 85% Good | ||
| 815 | → | 82 | 86% Good | ||
| 816 | → | 43 | 89% Good | ||
| 817 | → | 19 | 89% Good | ||
| 818 | → | 36 | 82% Fair | ||
| 819 | → | 23 | 85% Good | ||
| 820 | → | 150 | 82% Fair | ||
| 822 | → | 459 | 87% Good | ||
| 823 | → | 160 | 76% Fair | ||
| 824 | → | 203 | 83% Fair | ||
| 825 | → | 202 | 92% Good | ||
| 826 | → | 176 | 81% Fair | ||
| 827 | → | 198 | 90% Good | ||
| 828 | → | 197 | 85% Good | ||
| 829 | → | 453 | 85% Good | ||
| 830 | → | 328 | 84% Fair | ||
| 831 | → | 320 | 92% Good | ||
| 832 | → | 326 | 76% Fair | ||
| 833 | → | 332 | 87% Good | ||
| 834 | → | 336 | 80% Fair | ||
| 838 | → | 455 | 75% Fair | ||
| 839 | → | 434 | 78% Fair | ||
| 840 | → | 477 | 70% Approx | ||
| 841 | → | 476 | 93% Best | ||
| 842 | → | 467 | 73% Approx | ||
| 844 | → | 488 | 79% Fair | ||
| 869 | → | 453 | 89% Good | ||
| 890 | → | 273 | 94% Best | ||
| 891 | → | 16 | 76% Fair | ||
| 892 | → | 16 | 79% Fair | ||
| 893 | → | 25 | 89% Good | ||
| 894 | → | 59 | 79% Fair | ||
| 895 | → | 272 | 90% Good | ||
| 898 | → | 425 | 83% Fair | ||
| 899 | → | 38 | 92% Good | ||
| 900 | → | 12 | 88% Good | ||
| 902 | → | 90 | 90% Good | ||
| 904 | → | 256 | 86% Good | ||
| 905 | → | 291 | 70% Approx | ||
| 906 | → | 263 | 79% Fair | ||
| 907 | → | 267 | 89% Good | ||
| 909 | → | 245 | 79% Fair | ||
| 910 | → | 226 | 80% Fair | ||
| 911 | → | 244 | 82% Fair | ||
| 912 | → | 242 | 86% Good | ||
| 913 | → | 241 | 80% Fair | ||
| 915 | → | 71 | 73% Approx | ||
| 917 | → | 71 | 85% Good | ||
| 918 | → | 415 | 96% Best | ||
| 919 | → | 410 | 84% Fair | ||
| 920 | → | 410 | 81% Fair | ||
| 921 | → | 12 | 68% Approx | ||
| 922 | → | 11 | 80% Fair | ||
| 924 | → | 171 | 75% Fair | ||
| 926 | → | 169 | 68% Approx | ||
| 927 | → | 485 | 69% Approx | ||
| 928 | → | 167 | 88% Good | ||
| 930 | → | 194 | 80% Fair | ||
| 931 | → | 193 | 60% Approx | ||
| 932 | → | 185 | 72% Approx | ||
| 934 | → | 488 | 75% Fair | ||
| 935 | → | 488 | 80% Fair | ||
| 936 | → | 278 | 90% Good | ||
| 937 | → | 265 | 88% Good | ||
| 938 | → | 455 | 81% Fair | ||
| 939 | → | 160 | 88% Good | ||
| 943 | → | 218 | 88% Good | ||
| 945 | → | 405 | 82% Fair | ||
| 946 | → | 388 | 80% Fair | ||
| 947 | → | 388 | 91% Good | ||
| 948 | → | 50 | 86% Good | ||
| 950 | → | 420 | 88% Good | ||
| 951 | → | 382 | 95% Best | ||
| 954 | → | 240 | 87% Good | ||
| 955 | → | 239 | 89% Good | ||
| 956 | → | 25 | 86% Good | ||
| 957 | → | 59 | 84% Fair | ||
| 958 | → | 218 | 86% Good | ||
| 959 | → | 213 | 91% Good | ||
| 961 | → | 47 | 87% Good | ||
| 962 | → | 38 | 81% Fair | ||
| 963 | → | 39 | 80% Fair | ||
| 964 | → | 212 | 76% Fair | ||
| 966 | → | 240 | 80% Fair | ||
| 967 | → | 384 | 90% Good | ||
| 970 | → | 388 | 74% Approx | ||
| 972 | → | 375 | 91% Good | ||
| 973 | → | 373 | 93% Best | ||
| 975 | → | 397 | 82% Fair | ||
| 976 | → | 401 | 91% Good | ||
| 977 | → | 400 | 91% Good | ||
| 986 | → | 257 | 86% Good | ||
| 987 | → | 257 | 73% Approx | ||
| 988 | → | 255 | 75% Fair | ||
| 989 | → | 280 | 80% Fair | ||
| 991 | → | 222 | 56% Approx | ||
| 992 | → | 218 | 90% Good | ||
| 993 | → | 228 | 79% Fair | ||
| 995 | → | 176 | 87% Good | ||
| 996 | → | 206 | 78% Fair | ||
| 3011 | → | 277 | 76% Fair | ||
| 3012 | → | 319 | 73% Approx | ||
| 3013 | → | 303 | 78% Fair | ||
| 3021 | → | 443 | 71% Approx | ||
| 3022 | → | 486 | 75% Fair | ||
| 3023 | → | 462 | 82% Fair | ||
| 3024 | → | 460 | 78% Fair | ||
| 3031 | → | 455 | 81% Fair | ||
| 3032 | → | 462 | 85% Good | ||
| 3033 | → | 470 | 85% Good | ||
| 3041 | → | 97 | 91% Good | ||
| 3042 | → | 96 | 74% Approx | ||
| 3045 | → | 441 | 75% Fair | ||
| 3046 | → | 318 | 84% Fair | ||
| 3047 | → | 447 | 84% Fair | ||
| 3051 | → | 278 | 88% Good | ||
| 3052 | → | 301 | 62% Approx | ||
| 3053 | → | 299 | 83% Fair | ||
| 3064 | → | 413 | 82% Fair | ||
| 3072 | → | 489 | 88% Good | ||
| 3078 | → | 364 | 95% Best | ||
| 3325 | → | 198 | 91% Good | ||
| 3326 | → | 33 | 87% Good | ||
| 3328 | → | 6 | 91% Good | ||
| 3340 | → | 54 | 87% Good | ||
| 3341 | → | 52 | 77% Fair | ||
| 3345 | → | 265 | 81% Fair | ||
| 3346 | → | 264 | 85% Good | ||
| 3347 | → | 263 | 69% Approx | ||
| 3348 | → | 253 | 84% Fair | ||
| 3350 | → | 113 | 81% Fair | ||
| 3354 | → | 33 | 90% Good | ||
| 3362 | → | 278 | 82% Fair | ||
| 3363 | → | 301 | 97% Best | ||
| 3364 | → | 299 | 93% Best | ||
| 3371 | → | 456 | 71% Approx | ||
| 3607 | → | 69 | 87% Good | ||
| 3608 | → | 72 | 84% Fair | ||
| 3609 | → | 68 | 80% Fair | ||
| 3685 | → | 90 | 83% Fair | ||
| 3687 | → | 112 | 73% Approx | ||
| 3688 | → | 111 | 80% Fair | ||
| 3689 | → | 110 | 82% Fair | ||
| 3705 | → | 16 | 83% Fair | ||
| 3706 | → | 34 | 85% Good | ||
| 3708 | → | 33 | 83% Fair | ||
| 3712 | → | 5 | 91% Good | ||
| 3713 | → | 39 | 85% Good | ||
| 3716 | → | 33 | 78% Fair | ||
| 3721 | → | 81 | 76% Fair | ||
| 3722 | → | 80 | 89% Good | ||
| 3726 | → | 89 | 74% Approx | ||
| 3727 | → | 85 | 81% Fair | ||
| 3731 | → | 48 | 90% Good | ||
| 3733 | → | 111 | 88% Good | ||
| 3740 | → | 99 | 86% Good | ||
| 3743 | → | 102 | 73% Approx | ||
| 3746 | → | 131 | 91% Good | ||
| 3747 | → | 144 | 91% Good | ||
| 3750 | → | 195 | 80% Fair | ||
| 3752 | → | 191 | 85% Good | ||
| 3753 | → | 191 | 84% Fair | ||
| 3755 | → | 185 | 82% Fair | ||
| 3756 | → | 180 | 82% Fair | ||
| 3760 | → | 201 | 89% Good | ||
| 3761 | → | 173 | 86% Good | ||
| 3765 | → | 165 | 88% Good | ||
| 3766 | → | 174 | 80% Fair | ||
| 3768 | → | 170 | 79% Fair | ||
| 3770 | → | 383 | 85% Good | ||
| 3771 | → | 420 | 85% Good | ||
| 3772 | → | 414 | 67% Approx | ||
| 3774 | → | 405 | 92% Good | ||
| 3776 | → | 395 | 85% Good | ||
| 3777 | → | 7 | 82% Fair | ||
| 3778 | → | 79 | 87% Good | ||
| 3779 | → | 2 | 84% Fair | ||
| 3781 | → | 473 | 79% Fair | ||
| 3782 | → | 467 | 91% Good | ||
| 3787 | → | 498 | 80% Fair | ||
| 3790 | → | 429 | 79% Fair | ||
| 3799 | → | 509 | 84% Fair | ||
| 3801 | → | 55 | 81% Fair | ||
| 3802 | → | 90 | 85% Good | ||
| 3803 | → | 113 | 74% Approx | ||
| 3804 | → | 65 | 76% Fair | ||
| 3805 | → | 65 | 78% Fair | ||
| 3806 | → | 64 | 79% Fair | ||
| 3807 | → | 156 | 80% Fair | ||
| 3808 | → | 166 | 81% Fair | ||
| 3809 | → | 166 | 81% Fair | ||
| 3810 | → | 221 | 65% Approx | ||
| 3811 | → | 197 | 75% Fair | ||
| 3812 | → | 218 | 83% Fair | ||
| 3813 | → | 233 | 85% Good | ||
| 3814 | → | 222 | 85% Good | ||
| 3815 | → | 231 | 91% Good | ||
| 3816 | → | 230 | 83% Fair | ||
| 3817 | → | 233 | 89% Good | ||
| 3818 | → | 250 | 73% Approx | ||
| 3819 | → | 296 | 86% Good | ||
| 3820 | → | 357 | 84% Fair | ||
| 3821 | → | 356 | 90% Good | ||
| 3822 | → | 340 | 86% Good | ||
| 3823 | → | 370 | 87% Good | ||
| 3824 | → | 384 | 73% Approx | ||
| 3825 | → | 385 | 84% Fair | ||
| 3826 | → | 396 | 86% Good | ||
| 3827 | → | 406 | 81% Fair | ||
| 3828 | → | 338 | 77% Fair | ||
| 3829 | → | 451 | 79% Fair | ||
| 3830 | → | 81 | 82% Fair | ||
| 3831 | → | 49 | 90% Good | ||
| 3832 | → | 42 | 91% Good | ||
| 3833 | → | 47 | 82% Fair | ||
| 3834 | → | 75 | 73% Approx | ||
| 3835 | → | 106 | 78% Fair | ||
| 3836 | → | 105 | 91% Good | ||
| 3837 | → | 120 | 74% Approx | ||
| 3838 | → | 156 | 86% Good | ||
| 3839 | → | 140 | 83% Fair | ||
| 3840 | → | 155 | 92% Good | ||
| 3841 | → | 191 | 90% Good | ||
| 3842 | → | 203 | 87% Good | ||
| 3843 | → | 206 | 84% Fair | ||
| 3844 | → | 199 | 84% Fair | ||
| 3845 | → | 210 | 73% Approx | ||
| 3846 | → | 210 | 94% Best | ||
| 3847 | → | 236 | 49% Approx | ||
| 3848 | → | 222 | 87% Good | ||
| 3849 | → | 218 | 71% Approx | ||
| 3850 | → | 218 | 71% Approx | ||
| 3851 | → | 218 | 69% Approx | ||
| 3852 | → | 349 | 89% Good | ||
| 3853 | → | 395 | 77% Fair | ||
| 3854 | → | 378 | 81% Fair | ||
| 3855 | → | 389 | 86% Good | ||
| 3856 | → | 406 | 96% Best | ||
| 3857 | → | 411 | 73% Approx | ||
| 3858 | → | 414 | 76% Fair | ||
| 3859 | → | 413 | 79% Fair | ||
| 3860 | → | 433 | 84% Fair | ||
| 3861 | → | 431 | 59% Approx | ||
| 3862 | → | 423 | 71% Approx | ||
| 3863 | → | 477 | 96% Best | ||
| 3864 | → | 471 | 86% Good | ||
| 3865 | → | White | 81% Fair | ||
| 3866 | → | 458 | 89% Good | ||
| 504 | → | 224 | 82% Fair | ||
| 731 | → | 316 | 82% Fair | ||
| 776 | → | 24 | 86% Good | ||
| 781 | → | 451 | 83% Fair | ||
| 806 | → | 165 | 62% Approx | ||
| 971 | → | 391 | 80% Fair | ||
| 3773 | → | 407 | 86% Good |
Every Luca-S color is sampled from the maker's own photographs of each skein.
Convert between Luca-S 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.
Stitching a Luca-S chart with DMC
Luca-S numbers its floss in its own system, so a Luca-S kit key or chart can't be read off a DMC card directly. The table below gives the closest DMC for each of the 511 Luca-S colors, with a match quality so you can see which swaps are near-identical and which are only close.
Both are cotton embroidery floss, so a Luca-S color and its DMC match stitch the same way. If you're replacing a color that runs out partway through a kit, finish the whole color area in the new thread rather than switching mid-area.
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 Luca-S floss?
How is the match percentage calculated?
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