Appleton to DMC conversion chart
Find the closest DMC floss for any Appleton wool shade — with match quality percentages and ranked alternatives. Also converts DMC to Appleton for stitching cross stitch designs in wool.
430 Appleton shades matched using perceptual color distance.
Full Appleton to DMC conversion chart
430 color matches, ranked by match quality. Click any row for alternatives.
| Code | → | Code | Match | ||
|---|---|---|---|---|---|
| 101 | → | 3041 | 74% Approx | ||
| 102 | → | 3041 | 67% Approx | ||
| 103 | → | 29 | 74% Approx | ||
| 105 | → | 939 | 85% Good | ||
| 106 | → | 939 | 83% Fair | ||
| 111 | → | 647 | 73% Approx | ||
| 112 | → | 04 | 85% Good | ||
| 113 | → | 535 | 86% Good | ||
| 114 | → | 3799 | 81% Fair | ||
| 115 | → | 3799 | 67% Approx | ||
| 121 | → | 840 | 90% Good | ||
| 122 | → | 3862 | 91% Good | ||
| 123 | → | 3862 | 78% Fair | ||
| 124 | → | 801 | 87% Good | ||
| 125 | → | 3857 | 79% Fair | ||
| 126 | → | 3857 | 63% Approx | ||
| 127 | → | 938 | 62% Approx | ||
| 128 | → | 3371 | 56% Approx | ||
| 141 | → | 841 | 86% Good | ||
| 142 | → | 3772 | 75% Fair | ||
| 143 | → | 3858 | 82% Fair | ||
| 144 | → | 315 | 91% Good | ||
| 145 | → | 3802 | 91% Good | ||
| 147 | → | 902 | 85% Good | ||
| 148 | → | 902 | 69% Approx | ||
| 149 | → | 154 | 67% Approx | ||
| 151 | → | 647 | 91% Good | ||
| 152 | → | 169 | 69% Approx | ||
| 153 | → | 169 | 69% Approx | ||
| 154 | → | 645 | 75% Fair | ||
| 155 | → | 501 | 78% Fair | ||
| 156 | → | 500 | 83% Fair | ||
| 157 | → | 924 | 78% Fair | ||
| 158 | → | 3799 | 57% Approx | ||
| 159 | → | 310 | 65% Approx | ||
| 181 | → | 3782 | 81% Fair | ||
| 182 | → | 642 | 72% Approx | ||
| 183 | → | 640 | 80% Fair | ||
| 184 | → | 3790 | 77% Fair | ||
| 185 | → | 3781 | 84% Fair | ||
| 186 | → | 3031 | 77% Fair | ||
| 187 | → | 3371 | 86% Good | ||
| 201 | → | 3782 | 90% Good | ||
| 202 | → | 3864 | 90% Good | ||
| 203 | → | 841 | 76% Fair | ||
| 204 | → | 3772 | 86% Good | ||
| 205 | → | 356 | 80% Fair | ||
| 206 | → | 3858 | 82% Fair | ||
| 207 | → | 918 | 94% Best | ||
| 209 | → | 3857 | 91% Good | ||
| 221 | → | 407 | 78% Fair | ||
| 222 | → | 3859 | 88% Good | ||
| 223 | → | 3830 | 84% Fair | ||
| 224 | → | 3830 | 89% Good | ||
| 225 | → | 22 | 91% Good | ||
| 226 | → | 3857 | 81% Fair | ||
| 227 | → | 3857 | 75% Fair | ||
| 241 | → | 733 | 79% Fair | ||
| 242 | → | 3012 | 84% Fair | ||
| 243 | → | 730 | 89% Good | ||
| 244 | → | 936 | 56% Approx | ||
| 245 | → | 934 | 66% Approx | ||
| 251 | → | 581 | 85% Good | ||
| 251A | → | 581 | 85% Good | ||
| 252 | → | 580 | 88% Good | ||
| 253 | → | 580 | 77% Fair | ||
| 254 | → | 580 | 93% Best | ||
| 255 | → | 936 | 90% Good | ||
| 256 | → | 936 | 80% Fair | ||
| 291 | → | 3022 | 86% Good | ||
| 291A | → | 642 | 85% Good | ||
| 292 | → | 645 | 75% Fair | ||
| 293 | → | 3362 | 88% Good | ||
| 294 | → | 935 | 92% Good | ||
| 295 | → | 934 | 85% Good | ||
| 296 | → | 310 | 62% Approx | ||
| 297 | → | 310 | 76% Fair | ||
| 298 | → | 310 | 79% Fair | ||
| 301 | → | 167 | 85% Good | ||
| 302 | → | 3862 | 91% Good | ||
| 303 | → | 869 | 83% Fair | ||
| 304 | → | 898 | 89% Good | ||
| 305 | → | 938 | 82% Fair | ||
| 311 | → | 833 | 77% Fair | ||
| 312 | → | 832 | 78% Fair | ||
| 313 | → | 831 | 86% Good | ||
| 314 | → | 730 | 76% Fair | ||
| 315 | → | 3781 | 60% Approx | ||
| 316 | → | 3021 | 65% Approx | ||
| 321 | → | 169 | 77% Fair | ||
| 322 | → | 3768 | 86% Good | ||
| 323 | → | 3768 | 84% Fair | ||
| 324 | → | 924 | 82% Fair | ||
| 325 | → | 924 | 78% Fair | ||
| 327 | → | 3799 | 66% Approx | ||
| 328 | → | 310 | 65% Approx | ||
| 331 | → | 733 | 82% Fair | ||
| 331A | → | 16 | 74% Approx | ||
| 332 | → | 370 | 87% Good | ||
| 333 | → | 732 | 79% Fair | ||
| 334 | → | 730 | 85% Good | ||
| 335 | → | 936 | 58% Approx | ||
| 336 | → | 936 | 60% Approx | ||
| 337 | → | 934 | 60% Approx | ||
| 341 | → | 3012 | 76% Fair | ||
| 342 | → | 3012 | 80% Fair | ||
| 343 | → | 3011 | 73% Approx | ||
| 344 | → | 3012 | 81% Fair | ||
| 345 | → | 936 | 85% Good | ||
| 346 | → | 936 | 70% Approx | ||
| 347 | → | 934 | 70% Approx | ||
| 348 | → | 934 | 74% Approx | ||
| 351 | → | 3023 | 82% Fair | ||
| 352 | → | 3364 | 81% Fair | ||
| 353 | → | 3347 | 80% Fair | ||
| 354 | → | 3363 | 75% Fair | ||
| 355 | → | 3051 | 92% Good | ||
| 356 | → | 3051 | 94% Best | ||
| 357 | → | 934 | 83% Fair | ||
| 358 | → | 934 | 79% Fair | ||
| 401 | → | 3052 | 88% Good | ||
| 402 | → | 3363 | 80% Fair | ||
| 403 | → | 3346 | 79% Fair | ||
| 404 | → | 895 | 84% Fair | ||
| 405 | → | 895 | 87% Good | ||
| 406 | → | 934 | 82% Fair | ||
| 407 | → | 934 | 67% Approx | ||
| 421 | → | 471 | 84% Fair | ||
| 422 | → | 989 | 77% Fair | ||
| 423 | → | 906 | 80% Fair | ||
| 424 | → | 905 | 83% Fair | ||
| 425 | → | 905 | 88% Good | ||
| 426 | → | 905 | 85% Good | ||
| 427 | → | 904 | 85% Good | ||
| 428 | → | 986 | 88% Good | ||
| 429 | → | 986 | 79% Fair | ||
| 431 | → | 912 | 73% Approx | ||
| 432 | → | 912 | 80% Fair | ||
| 433 | → | 702 | 88% Good | ||
| 434 | → | 700 | 95% Best | ||
| 435 | → | 910 | 92% Good | ||
| 436 | → | 699 | 89% Good | ||
| 437 | → | 890 | 79% Fair | ||
| 438 | → | 890 | 84% Fair | ||
| 441 | → | 920 | 80% Fair | ||
| 442 | → | 920 | 83% Fair | ||
| 443 | → | 920 | 79% Fair | ||
| 444 | → | 817 | 83% Fair | ||
| 445 | → | 817 | 77% Fair | ||
| 446 | → | 817 | 87% Good | ||
| 448 | → | 919 | 77% Fair | ||
| 452 | → | 3835 | 88% Good | ||
| 453 | → | 327 | 86% Good | ||
| 454 | → | 327 | 87% Good | ||
| 455 | → | 550 | 78% Fair | ||
| 456 | → | 154 | 68% Approx | ||
| 461 | → | 415 | 77% Fair | ||
| 462 | → | 334 | 76% Fair | ||
| 463 | → | 825 | 85% Good | ||
| 464 | → | 824 | 92% Good | ||
| 465 | → | 939 | 74% Approx | ||
| 471 | → | 19 | 86% Good | ||
| 472 | → | 3820 | 87% Good | ||
| 473 | → | 3852 | 86% Good | ||
| 474 | → | 3829 | 82% Fair | ||
| 475 | → | 781 | 94% Best | ||
| 477 | → | 301 | 89% Good | ||
| 478 | → | 300 | 83% Fair | ||
| 479 | → | 300 | 88% Good | ||
| 481 | → | 3849 | 74% Approx | ||
| 482 | → | 3810 | 90% Good | ||
| 483 | → | 3810 | 82% Fair | ||
| 484 | → | 3809 | 86% Good | ||
| 485 | → | 3765 | 89% Good | ||
| 487 | → | 3842 | 81% Fair | ||
| 489 | → | 3750 | 81% Fair | ||
| 501 | → | 817 | 86% Good | ||
| 501A | → | 349 | 91% Good | ||
| 502 | → | 817 | 88% Good | ||
| 503 | → | 3777 | 78% Fair | ||
| 504 | → | 3777 | 83% Fair | ||
| 505 | → | 3857 | 59% Approx | ||
| 521 | → | 169 | 68% Approx | ||
| 522 | → | 927 | 70% Approx | ||
| 523 | → | 3816 | 70% Approx | ||
| 524 | → | 3816 | 85% Good | ||
| 525 | → | 163 | 77% Fair | ||
| 526 | → | 991 | 89% Good | ||
| 527 | → | 3847 | 77% Fair | ||
| 528 | → | 500 | 72% Approx | ||
| 529 | → | 500 | 72% Approx | ||
| 541 | → | 3364 | 76% Fair | ||
| 542 | → | 3012 | 78% Fair | ||
| 543 | → | 470 | 85% Good | ||
| 544 | → | 469 | 94% Best | ||
| 545 | → | 937 | 96% Best | ||
| 546 | → | 937 | 90% Good | ||
| 547 | → | 895 | 73% Approx | ||
| 552 | → | 834 | 72% Approx | ||
| 553 | → | 3820 | 75% Fair | ||
| 554 | → | 3852 | 78% Fair | ||
| 555 | → | 783 | 73% Approx | ||
| 556 | → | 976 | 81% Fair | ||
| 561 | → | 927 | 90% Good | ||
| 562 | → | 927 | 70% Approx | ||
| 563 | → | 926 | 84% Fair | ||
| 564 | → | 3810 | 74% Approx | ||
| 565 | → | 924 | 79% Fair | ||
| 566 | → | 924 | 71% Approx | ||
| 567 | → | 3750 | 78% Fair | ||
| 568 | → | 823 | 67% Approx | ||
| 582 | → | 3371 | 82% Fair | ||
| 583 | → | 310 | 82% Fair | ||
| 584 | → | 310 | 76% Fair | ||
| 585 | → | 310 | 88% Good | ||
| 586 | → | 310 | 86% Good | ||
| 587 | → | 310 | 79% Fair | ||
| 588 | → | 310 | 85% Good | ||
| 601 | → | 3861 | 79% Fair | ||
| 602 | → | 3041 | 76% Fair | ||
| 603 | → | 3041 | 88% Good | ||
| 604 | → | 3740 | 83% Fair | ||
| 605 | → | 09 | 65% Approx | ||
| 606 | → | 154 | 72% Approx | ||
| 607 | → | 939 | 61% Approx | ||
| 621 | → | 3064 | 89% Good | ||
| 622 | → | 922 | 82% Fair | ||
| 623 | → | 900 | 89% Good | ||
| 625 | → | 920 | 79% Fair | ||
| 626 | → | 919 | 92% Good | ||
| 641 | → | 3022 | 75% Fair | ||
| 642 | → | 645 | 88% Good | ||
| 643 | → | 520 | 90% Good | ||
| 644 | → | 319 | 84% Fair | ||
| 645 | → | 500 | 87% Good | ||
| 646 | → | 500 | 87% Good | ||
| 647 | → | 310 | 60% Approx | ||
| 651 | → | 820 | 62% Approx | ||
| 652 | → | 150 | 76% Fair | ||
| 653 | → | 3819 | 74% Approx | ||
| 654 | → | 3848 | 75% Fair | ||
| 655 | → | 817 | 88% Good | ||
| 656 | → | 702 | 69% Approx | ||
| 661 | → | 820 | 85% Good | ||
| 662 | → | 600 | 91% Good | ||
| 663 | → | 18 | 67% Approx | ||
| 664 | → | 3849 | 86% Good | ||
| 665 | → | 720 | 82% Fair | ||
| 666 | → | 907 | 87% Good | ||
| 671 | → | 316 | 81% Fair | ||
| 672 | → | 223 | 73% Approx | ||
| 673 | → | 3687 | 86% Good | ||
| 674 | → | 3687 | 83% Fair | ||
| 675 | → | 309 | 85% Good | ||
| 676 | → | 600 | 95% Best | ||
| 681 | → | 349 | 86% Good | ||
| 682 | → | 349 | 86% Good | ||
| 683 | → | 3819 | 84% Fair | ||
| 684 | → | 989 | 77% Fair | ||
| 685 | → | 907 | 91% Good | ||
| 686 | → | 3817 | 85% Good | ||
| 687 | → | 33 | 59% Approx | ||
| 691 | → | 612 | 88% Good | ||
| 692 | → | 371 | 84% Fair | ||
| 693 | → | 371 | 80% Fair | ||
| 694 | → | 680 | 86% Good | ||
| 695 | → | 420 | 74% Approx | ||
| 696 | → | 829 | 87% Good | ||
| 697 | → | 433 | 77% Fair | ||
| 701 | → | 613 | 77% Fair | ||
| 702 | → | 422 | 80% Fair | ||
| 706 | → | 3864 | 90% Good | ||
| 707 | → | 3864 | 86% Good | ||
| 708 | → | 436 | 86% Good | ||
| 711 | → | 3861 | 71% Approx | ||
| 712 | → | 779 | 86% Good | ||
| 713 | → | 779 | 81% Fair | ||
| 714 | → | 938 | 65% Approx | ||
| 715 | → | 938 | 68% Approx | ||
| 716 | → | 154 | 70% Approx | ||
| 721 | → | 918 | 85% Good | ||
| 722 | → | 918 | 84% Fair | ||
| 723 | → | 3857 | 82% Fair | ||
| 724 | → | 3857 | 83% Fair | ||
| 725 | → | 3857 | 72% Approx | ||
| 726 | → | 3857 | 78% Fair | ||
| 741 | → | 414 | 90% Good | ||
| 742 | → | 414 | 67% Approx | ||
| 743 | → | 931 | 83% Fair | ||
| 744 | → | 931 | 92% Good | ||
| 745 | → | 161 | 73% Approx | ||
| 746 | → | 3750 | 87% Good | ||
| 747 | → | 939 | 72% Approx | ||
| 749 | → | 939 | 80% Fair | ||
| 751 | → | 407 | 69% Approx | ||
| 752 | → | 152 | 79% Fair | ||
| 753 | → | 3859 | 85% Good | ||
| 754 | → | 356 | 76% Fair | ||
| 755 | → | 3722 | 88% Good | ||
| 756 | → | 3721 | 82% Fair | ||
| 757 | → | 221 | 83% Fair | ||
| 758 | → | 902 | 70% Approx | ||
| 759 | → | 154 | 63% Approx | ||
| 761 | → | 371 | 77% Fair | ||
| 762 | → | 611 | 87% Good | ||
| 763 | → | 611 | 80% Fair | ||
| 765 | → | 869 | 89% Good | ||
| 767 | → | 898 | 81% Fair | ||
| 801 | → | 917 | 82% Fair | ||
| 802 | → | 35 | 76% Fair | ||
| 803 | → | 35 | 69% Approx | ||
| 804 | → | 902 | 69% Approx | ||
| 805 | → | 902 | 73% Approx | ||
| 821 | → | 312 | 95% Best | ||
| 822 | → | 336 | 92% Good | ||
| 823 | → | 336 | 74% Approx | ||
| 824 | → | 820 | 70% Approx | ||
| 825 | → | 823 | 68% Approx | ||
| 831 | → | 367 | 81% Fair | ||
| 832 | → | 319 | 88% Good | ||
| 833 | → | 890 | 90% Good | ||
| 834 | → | 310 | 50% Approx | ||
| 835 | → | 310 | 73% Approx | ||
| 841 | → | 3046 | 87% Good | ||
| 842 | → | 833 | 80% Fair | ||
| 843 | → | 831 | 85% Good | ||
| 844 | → | 831 | 77% Fair | ||
| 851 | → | 422 | 86% Good | ||
| 852 | → | 310 | 82% Fair | ||
| 853 | → | 3750 | 69% Approx | ||
| 854 | → | 3826 | 91% Good | ||
| 855 | → | 733 | 86% Good | ||
| 861 | → | 976 | 87% Good | ||
| 862 | → | 3853 | 81% Fair | ||
| 863 | → | 920 | 83% Fair | ||
| 864 | → | 919 | 89% Good | ||
| 865 | → | 817 | 88% Good | ||
| 866 | → | 918 | 79% Fair | ||
| 871 | → | 3046 | 81% Fair | ||
| 872 | → | 3046 | 82% Fair | ||
| 873 | → | 644 | 73% Approx | ||
| 874 | → | 3053 | 85% Good | ||
| 875 | → | 648 | 85% Good | ||
| 876 | → | 648 | 90% Good | ||
| 877 | → | 3782 | 94% Best | ||
| 881 | → | 644 | 76% Fair | ||
| 882 | → | 644 | 73% Approx | ||
| 883 | → | 03 | 67% Approx | ||
| 884 | → | 3861 | 72% Approx | ||
| 885 | → | 3041 | 73% Approx | ||
| 886 | → | 03 | 79% Fair | ||
| 887 | → | 927 | 76% Fair | ||
| 888 | → | 169 | 74% Approx | ||
| 891 | → | 3042 | 67% Approx | ||
| 892 | → | 161 | 70% Approx | ||
| 893 | → | 32 | 81% Fair | ||
| 894 | → | 161 | 85% Good | ||
| 895 | → | 791 | 81% Fair | ||
| 896 | → | 823 | 62% Approx | ||
| 901 | → | 370 | 79% Fair | ||
| 902 | → | 167 | 81% Fair | ||
| 903 | → | 830 | 78% Fair | ||
| 904 | → | 801 | 79% Fair | ||
| 911 | → | 610 | 81% Fair | ||
| 912 | → | 610 | 89% Good | ||
| 913 | → | 610 | 81% Fair | ||
| 914 | → | 3781 | 81% Fair | ||
| 915 | → | 3371 | 72% Approx | ||
| 916 | → | 3021 | 74% Approx | ||
| 921 | → | 647 | 80% Fair | ||
| 922 | → | 3768 | 72% Approx | ||
| 923 | → | 3768 | 79% Fair | ||
| 924 | → | 930 | 80% Fair | ||
| 925 | → | 3750 | 71% Approx | ||
| 926 | → | 3750 | 85% Good | ||
| 927 | → | 939 | 65% Approx | ||
| 928 | → | 3799 | 68% Approx | ||
| 929 | → | 3799 | 65% Approx | ||
| 931 | → | 839 | 82% Fair | ||
| 932 | → | 779 | 80% Fair | ||
| 933 | → | 779 | 89% Good | ||
| 934 | → | 938 | 71% Approx | ||
| 935 | → | 3371 | 71% Approx | ||
| 941 | → | 152 | 83% Fair | ||
| 942 | → | 3712 | 77% Fair | ||
| 943 | → | 3712 | 93% Best | ||
| 944 | → | 3731 | 87% Good | ||
| 945 | → | 3832 | 91% Good | ||
| 946 | → | 309 | 95% Best | ||
| 947 | → | 816 | 92% Good | ||
| 948 | → | 815 | 93% Best | ||
| 951 | → | 642 | 76% Fair | ||
| 952 | → | 611 | 85% Good | ||
| 953 | → | 610 | 80% Fair | ||
| 954 | → | 610 | 75% Fair | ||
| 955 | → | 3021 | 81% Fair | ||
| 956 | → | 3021 | 73% Approx | ||
| 957 | → | 3021 | 69% Approx | ||
| 961 | → | 3023 | 73% Approx | ||
| 962 | → | 647 | 73% Approx | ||
| 963 | → | 646 | 86% Good | ||
| 964 | → | 646 | 81% Fair | ||
| 965 | → | 535 | 85% Good | ||
| 966 | → | 844 | 90% Good | ||
| 967 | → | 3799 | 78% Fair | ||
| 968 | → | 3371 | 76% Fair | ||
| 971 | → | 3032 | 94% Best | ||
| 972 | → | 3022 | 83% Fair | ||
| 973 | → | 3787 | 79% Fair | ||
| 974 | → | 844 | 82% Fair | ||
| 975 | → | 844 | 80% Fair | ||
| 976 | → | 3371 | 82% Fair | ||
| 981 | → | 3782 | 86% Good | ||
| 982 | → | 640 | 91% Good | ||
| 983 | → | 08 | 85% Good | ||
| 984 | → | 3032 | 83% Fair | ||
| 985 | → | 640 | 86% Good | ||
| 986 | → | 611 | 87% Good | ||
| 987 | → | 648 | 75% Fair | ||
| 988 | → | 613 | 78% Fair | ||
| 989 | → | 3023 | 79% Fair | ||
| 991 | → | 644 | 83% Fair | ||
| 991B | → | 822 | 85% Good | ||
| 992 | → | 644 | 73% Approx | ||
| 993 | → | 310 | 85% Good | ||
| 994 | → | 920 | 84% Fair | ||
| 995 | → | 498 | 87% Good | ||
| 996 | → | 834 | 78% Fair | ||
| 997 | → | 166 | 71% Approx | ||
| 998 | → | 310 | 83% Fair |
Convert between Appleton wool shade numbers and DMC floss codes. Each match shows a quality percentage based on perceptual color distance, with ranked alternatives when the best match isn't close enough.
This is the needlepoint crossing point: most charts — especially photo conversions and cross stitch charts stitched on canvas — specify DMC colors, while canvas work wants wool that actually covers the mesh. The converter bridges the two catalogs; the fiber difference (matte wool versus lustrous cotton) is yours to embrace.
How wool-to-floss matching works
Appleton's 430 shades are organized in hue families of 4–9 graduated values — a dyer's system from the 1830s that predates DMC's numbering entirely, so there is no official cross-reference. These matches are computed: each Appleton shade's color is compared against all 489 DMC colors using CIEDE2000 perceptual distance, and the closest matches win. Some Appleton families (the muted antique shades especially) sit deliberately outside DMC's brighter palette — that's where you'll see lower match percentages, and where the ranked alternatives earn their keep.
Working chart-first? The needlepoint pattern maker has both catalogs in its thread library and remaps an entire palette in one step — including the per-color stitch counts the wool calculator turns into a skein shopping list.
FAQ
Why convert between Appleton wool and DMC floss?
Are Appleton to DMC conversions exact?
How is the match percentage calculated?
Does this cover both crewel and tapestry wool?
Can I convert a whole chart's color list at once?
See how your photo converts
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