For each - find, replace, then rebuild the file

Trying to pass a file through some APIs, then rebuild that file with updated data

Good day my fellow n8n folks! I turn to you once more for help with building this POC that I’m working on.
My goal is to:

  1. Fetch a file via a webhook
  2. Send that file through an API to convert it into a format I can work with (in this case an XLIFF file for translation)
  3. Parse the XML (XLIFF is more or less an XML file) into a JSON object
  4. Then for each item of text in the JSON object, get another API to translate the string.
  5. Store the translated string as a “target” and somehow get it back into the XML/XLIFF file.
  6. Send that XLIFF back into the conversion API to receive a fully translated document.
  7. Respond to webhook with the translated document or a link to S3 where the user can download it.

I can do most of these steps quite easily, but I’m stuck at the part where I have the translated segments, but don’t know how to replace the “target” section with a translated version.

This is my current prototype (only the files are being passed so far)

Output returned by the last node

[
    {
    "status": 200,
    "data": {
    "translation": "Das ist eine Word-Datei.",
    "billedCharacters": 18,
    "characters": 18,
    "billed": true
    }
},
    {
    "status": 200,
    "data": {
    "translation": "Bitte erwarten Sie eine vollständige MT-Übersetzung.",
    "billedCharacters": 42,
    "characters": 42,
    "billed": true
    }
}
]

Information on my n8n setup

  • n8n version: 0.188.0
  • Database you’re using: default: SQLite
  • Running n8n with the execution process: own
  • Running n8n via: Docker

I would kindly like to ask for help regarding how to take the translated strings I receive with the flow shared above, and inject them back into the original XLIFF file.

Thank you in advance for any advice.

Hey @Matija_Kovac,

Can you share the output of the XML to JSON node? That will give us the data you are trying to replace the values in.

Hey Jon, thanks so much for looking into this.

So here’s the output of the XML to JSON:

[
  {
    "xliff": {
      "xmlns": "urn:oasis:names:tc:xliff:document:1.2",
      "xmlns:its": "http://www.w3.org/2005/11/its",
      "xmlns:itsxlf": "http://www.w3.org/ns/its-xliff/",
      "xmlns:okp": "okapi-framework:xliff-extensions",
      "its:version": "2.0",
      "version": "1.2",
      "file": [
        {
          "datatype": "x-docx",
          "filter": "com.matecat.filters.DefaultFilter",
          "original": "test_mt.docx",
          "source-language": "en-GB",
          "target-language": "de-DE",
          "tool-id": "matecat-converter 1.3.14",
          "header": {
            "reference": {
              "internal-file": {
                "_": "UEsDBBQABgAIAAAAIQDfpNJsWgEAACAFAAATAAgCW0NvbnRlbnRfVHlwZXNdLnhtbCCiBAIooAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC0\nlMtuwjAQRfeV+g+Rt1Vi6KKqKgKLPpYtUukHGHsCVv2Sx7z+vhMCUVUBkQpsIiUz994zVsaD0dqabAkRtXcl6xc9loGTXmk3K9nX5C1/ZBkm4ZQw3kHJNoBsNLy9GUw2ATAjtcOSzVMKT5yjnIMVWPgA\njiqVj1Ykeo0zHoT8FjPg973eA5feJXApT7UHGw5eoBILk7LXNX1uSCIYZNlz01hnlUyEYLQUiep86dSflHyXUJBy24NzHfCOGhg/mFBXjgfsdB90NFEryMYipndhqYuvfFRcebmwpCxO2xzg9FWlJbT6\n2i1ELwGRztyaoq1Yod2e/ygHpo0BvDxF49sdDymR4BoAO+dOhBVMP69G8cu8E6Si3ImYGrg8RmvdCZFoA6F59s/m2NqciqTOcfQBaaPjP8ber2ytzmngADHp039dm0jWZ88H9W2gQB3I5tv7bfgDAAD/\n/wMAUEsDBBQABgAIAAAAIQAekRq37wAAAE4CAAALAAgCX3JlbHMvLnJlbHMgogQCKKAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJLBasMw\nDEDvg/2D0b1R2sEYo04vY9DbGNkHCFtJTBPb2GrX/v082NgCXelhR8vS05PQenOcRnXglF3wGpZVDYq9Cdb5XsNb+7x4AJWFvKUxeNZw4gyb5vZm/cojSSnKg4tZFYrPGgaR+IiYzcAT5SpE9uWnC2ki\nKc/UYySzo55xVdf3mH4zoJkx1dZqSFt7B6o9Rb6GHbrOGX4KZj+xlzMtkI/C3rJdxFTqk7gyjWop9SwabDAvJZyRYqwKGvC80ep6o7+nxYmFLAmhCYkv+3xmXBJa/ueK5hk/Nu8hWbRf4W8bnF1B8wEA\nAP//AwBQSwMEFAAGAAgAAAAhAEcF2k9kAwAAYQ0AABEAAAB3b3JkL2RvY3VtZW50LnhtbMyXS2/jNhCA7wX6HwTdE0qW7ShC7MU2ThY5LGA0WfRMU5RFLB8CSb/66zukJMu72qaycilgmOJjvhnODIfS\nw6ej4MGeasOUXITxbRQGVBKVM7ldhN/enm/SMDAWyxxzJekiPFETflr+/tvDIcsV2QkqbQAIabJDRRZhaW2VIWRISQU2t4IRrYwq7C1RAqmiYISig9I5mkRx5J8qrQg1BvQ9YrnHJmxw5DiMlmt8AGEH\nnCJSYm3psWPEV0Nm6B6lfdBkBAh2OIn7qORq1Bw5q3qg6SgQWNUjzcaRfrG5+TjSpE+6G0dK+qR0HKmXTqKf4KqiEiYLpQW20NVbJLD+vqtuAFxhyzaMM3sCZjRvMZjJ7yMsAqkzQST51YQ7JFROeZK3\nFLUId1pmjfzNWd6ZntXyTXOWoHyYWlB3j+jRcmNbWT3Ed7X4qiks3mtIUw5+VNKUrDpXBzGWBpNlC9m/54C94O26QxUPPGr/VtpWdRg64BDzm9gJXlv+PjGOBkTTIc4SQ0z4UWdriYAM7hSPcs2Fc+OB\nxacFTHqAOaEDL4uWkTYMRLrT7Ths4LFqOXVUHId1jo0H1sCfjbkAmNzm5VWUSetX5GSxxSU250R3RHqdUbMz7iQufFRtP3YQvmi1qzoa+xjtpSuJB/dycgWrOVCXh9x8zJjXEldQKQXJXrZSabzhYBEc\njwAyPPARcP+QKK7xj/Tox12sA1djwiW8VW1UfnJtBXPTrMIav0BSxqvPafr8RxL6UbiTrB+Nnp5mqzncLIcM3uDyPxdhFE1Xk+RzdB5a0QLvuL2Y8fS1do2uG47lFtbvMZR3Km++vYZo+YCaadStHipy\nyPxLYWYqTMAJlaaG6j0Nl28lMwH83Epbr/8ZvEH+/9H4dpwaY0+c5u9p+S/u8i+IbVAwTm9/oDhn9KMzSdL4Mb53Tr+ITrJ6ilaPs+f3orPW/5+QLdecYshSeqwosQEOih3nwde3wGosTX0JB6oImP21\nTwxIrfXQzfotbV//hkm4imLwnk9jqHrxPE1SZ5tb8BU7olVwY8bTac1i29J23Y2yVomuz2lxMVtSnFPQexelrlsoZS+625313ahWRxQ3MNrkk1vjh+FD54t25zbjTNI1swSsTOZeCLX79o/14UXdt9Hy\nHwAAAP//AwBQSwMEFAAGAAgAAAAhANZks1H0AAAAMQMAABwACAF3b3JkL19yZWxzL2RvY3VtZW50LnhtbC5yZWxzIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJLLasMwEEX3hf6D\nmH0tO31QQuRsSiHb1v0ARR4/qCwJzfThv69ISevQYLrwcq6Yc8+ANtvPwYp3jNR7p6DIchDojK971yp4qR6v7kEQa1dr6x0qGJFgW15ebJ7Qak5L1PWBRKI4UtAxh7WUZDocNGU+oEsvjY+D5jTGVgZt\nXnWLcpXndzJOGVCeMMWuVhB39TWIagz4H7Zvmt7ggzdvAzo+UyE/cP+MzOk4SlgdW2QFkzBLRJDnRVZLitAfi2Myp1AsqsCjxanAYZ6rv12yntMu/rYfxu+wmHO4WdKh8Y4rvbcTj5/oKCFPPnr5BQAA\n//8DAFBLAwQUAAYACAAAACEAtvRnmNIGAADJIAAAFQAAAHdvcmQvdGhlbWUvdGhlbWUxLnhtbOxZS4sbRxC+B/IfhrnLes3oYaw10kjya9c23rWDj71Sa6atnmnR3dq1MIZgn3IJBJyQQwy55RBCDDHE\n5JIfY7BJnB+R6h5JMy31xI9dgwm7glU/vqr+uqq6ujRz4eL9mDpHmAvCko5bPVdxHZyM2JgkYce9fTAstVxHSJSMEWUJ7rgLLNyLO59/dgGdlxGOsQPyiTiPOm4k5ex8uSxGMIzEOTbDCcxNGI+RhC4P\ny2OOjkFvTMu1SqVRjhFJXCdBMai9MZmQEXYOlEp3Z6V8QOFfIoUaGFG+r1RjQ0Jjx9Oq+hILEVDuHCHacWGdMTs+wPel61AkJEx03Ir+c8s7F8prISoLZHNyQ/23lFsKjKc1LcfDw7Wg5/leo7vWrwFU\nbuMGzUFj0Fjr0wA0GsFOUy6mzmYt8JbYHChtWnT3m/161cDn9Ne38F1ffQy8BqVNbws/HAaZDXOgtOlv4f1eu9c39WtQ2mxs4ZuVbt9rGngNiihJplvoit+oB6vdriETRi9b4W3fGzZrS3iGKueiK5VP\nZFGsxege40MAaOciSRJHLmZ4gkaACxAlh5w4uySMIPBmKGEChiu1yrBSh//q4+mW9ig6j1FOOh0aia0hxccRI05msuNeBa1uDvLqxYuXj56/fPT7y8ePXz76dbn2ttxllIR5uTc/ffPP0y+dv3/78c2T\nb+14kce//uWr13/8+V/qpUHru2evnz979f3Xf/38xALvcnSYhx+QGAvnOj52brEYNmhZAB/y95M4iBDJS3STUKAEKRkLeiAjA319gSiy4HrYtOMdDunCBrw0v2cQ3o/4XBIL8FoUG8A9xmiPceuerqm1\n8laYJ6F9cT7P424hdGRbO9jw8mA+g7gnNpVBhA2aNym4HIU4wdJRc2yKsUXsLiGGXffIiDPBJtK5S5weIlaTHJBDI5oyocskBr8sbATB34Zt9u44PUZt6vv4yETC2UDUphJTw4yX0Fyi2MoYxTSP3EUy\nspHcX/CRYXAhwdMhpswZjLEQNpkbfGHQvQZpxu72PbqITSSXZGpD7iLG8sg+mwYRimdWziSJ8tgrYgohipybTFpJMPOEqD74ASWF7r5DsOHut5/t25CG7AGiZubcdiQwM8/jgk4Qtinv8thIsV1OrNHR\nm4dGaO9iTNExGmPs3L5iw7OZYfOM9NUIssplbLPNVWTGquonWECtpIobi2OJMEJ2H4esgM/eYiPxLFASI16k+frUDJkBXHWxNV7paGqkUsLVobWTuCFiY3+FWm9GyAgr1Rf2eF1ww3/vcsZA5t4HyOD3\nloHE/s62OUDUWCALmAMEVYYt3YKI4f5MRB0nLTa3yk3MQ5u5obxR9MQkeWsFtFH7+B+v9oEK49UPTy3Y06l37MCTVDpFyWSzvinCbVY1AeNj8ukXNX00T25iuEcs0LOa5qym+d/XNEXn+aySOatkzioZ\nu8hHqGSy4kU/Alo96NFa4sKnPhNC6b5cULwrdNkj4OyPhzCoO1po/ZBpFkFzuZyBCznSbYcz+QWR0X6EZrBMVa8QiqXqUDgzJqBw0sNW3WqCzuM9Nk5Hq9XVc00QQDIbh8JrNQ5lmkxHG83sAd5ave6F\n+kHrioCSfR8SucVMEnULieZq8C0k9M5OhUXbwqKl1Bey0F9Lr8Dl5CD1SNz3UkYQbhDSY+WnVH7l3VP3dJExzW3XLNtrK66n42mDRC7cTBK5MIzg8tgcPmVftzOXGvSUKbZpNFsfw9cqiWzkBpqYPecY\nzlzdBzUjNOu4E/jJBM14BvqEylSIhknHHcmloT8ks8y4kH0kohSmp9L9x0Ri7lASQ6zn3UCTjFu11lR7/ETJtSufnuX0V97JeDLBI1kwknVhLlVinT0hWHXYHEjvR+Nj55DO+S0EhvKbVWXAMRFybc0x\n4bngzqy4ka6WR9F435IdUURnEVreKPlknsJ1e00ntw/NdHNXZn+5mcNQOenEt+7bhdRELmkWXCDq1rTnj493yedYZXnfYJWm7s1c117luqJb4uQXQo5atphBTTG2UMtGTWqnWBDklluHZtEdcdq3wWbU\nqgtiVVfq3taLbXZ4DyK/D9XqnEqhqcKvFo6C1SvJNBPo0VV2uS+dOScd90HF73pBzQ9KlZY/KHl1r1Jq+d16qev79erAr1b6vdpDMIqM4qqfrj2EH/t0sXxvr8e33t3Hq1L73IjFZabr4LIW1u/uq7Xi\nd/cOAcs8aNSG7Xq71yi1691hyev3WqV20OiV+o2g2R/2A7/VHj50nSMN9rr1wGsMWqVGNQhKXqOi6LfapaZXq3W9Zrc18LoPl7aGna++V+bVvHb+BQAA//8DAFBLAwQUAAYACAAAACEAWw/FSwwEAACl\nCwAAEQAAAHdvcmQvc2V0dGluZ3MueG1stFbbbts4EH1fYP/B0PM6smTZTYU6hR3XmxTxdlFlsc+USNlEeANJ+dJi/32HlGg5TVEkLfJik3NmzgyHwxm9e3/gbLAj2lApZlFyMYoGRFQSU7GZRf/cr4aX\n0cBYJDBiUpBZdCQmen/1+2/v9rkh1oKaGQCFMDmvZtHWWpXHsam2hCNzIRURANZSc2RhqzcxR/qhUcNKcoUsLSmj9hino9E06mjkLGq0yDuKIaeVlkbW1pnksq5pRbq/YKGf47c1Wcqq4URY7zHWhEEM\nUpgtVSaw8Z9lA3AbSHY/OsSOs6C3T0bPOO5eanyyeE54zkBpWRFj4II4CwFS0TvOnhCdfF+A7+6IngrMk5FfnUc+eRlB+oRgWpHDyzguO44YLM95KH4Zz/TEQ/vEJtOfC+aMwGCLty9iSUNeY2eLLNoi\nc6oix0heFtTkRHfkfY4Me07VtNAdLTXS7ZvsSoZX+e1GSI1KBuFA6Qzg9gc+OvcLSXR/fkkOXu7yEF1Bj/giJR/sc0V0BQ8FGsxoFMUOgPKUdWGRBYrcKMKY7zgVI0i0GpjUqGH2HpWFlQq0dgiO8Sbt\nCKot0qiyRBcKVWB7LYXVkgU9LP+S9hq6jIZH0Fn4ntOvirZ/gYVAHA72qCetJYYGs88bTZ9/A87Ae08m5y6/dSSh32qKyb1LaGGPjKwg+IJ+IXOBPzbGUmD0nekXIvhRAEQ4z5+gBO6PiqwIsg2k6ZWc\n+ZtYMarWVGupbwWGSng1Z7SuiQYHFCprDeVDtdz7PN8QhGHMvZLfxpB/QRle4PgeyvJhIa2V/OaotpDrX7tJX+/xefnCsMYmLD5LaU+qo2yZjufdC3Ho95D4xMBzN7T+1mHlynDAW4trxEtN0WDtxlrs\nNEr9sKAi4CWB3kHOkaIpAzgctoDhiLEVJCQAPgCeY2rUktR+zdZIb3reTkN/Vwo94eOJy3UUov/UslEtutdIteUVVJIs6yypsHeUB7lpyiJYCeh2Z1Aj8Ked9nnq07PPLVyXf6Z3yF+71yViWNx2ZcF0\n4a6UrJFSbWWUm2QWMbrZ2sRdpoUdhq8fvyk3aYelHktbzG9Q5U4G2t2il6VBdqY3DrJxL8uCLOtlkyCb9LJpkE2dbAu9QEMbfoAiDUsnryVjck/wTY8/EbVJMFukyLLt21BeshV0jdwMdjk5wAwgmFr4\nqFQUc3RwIyGdOvNOm6GjbOwjXYc5ZfWYwY3L7lnGj4x9iX8Ti5snFYVyLI687MfEH23gjBp40gomipX6MZZkOZbVrRtxWSvPstX16vrNqoUnfhJZ/+rh3j+TeoEMwR0WTCet6df5cjxdzhfz4ejtcjHM\n3ibp8DIdj4bpPEmWH9JF9uEy/a97pOH7+up/AAAA//8DAFBLAwQUAAYACAAAACEA6d0ny4YLAAAPcwAADwAAAHdvcmQvc3R5bGVzLnhtbLydW3PbuhHH3zvT78DRU/uQyFc58RznjOMktad2jk/kNM8Q\nCVmoQULlxZd++gIgJUFeguKCW78k1mV/APHHf4nlTb/9/pzK6JHnhVDZ2Wj//d4o4lmsEpHdn41+3n1792EUFSXLEiZVxs9GL7wY/f7pr3/57em0KF8kLyINyIrTND4bLcpyeToeF/GCp6x4r5Y80x/O\nVZ6yUr/M78cpyx+q5btYpUtWipmQonwZH+ztTUYNJu9DUfO5iPkXFVcpz0obP8651ESVFQuxLFa0pz60J5Uny1zFvCj0Rqey5qVMZGvM/hEApSLOVaHm5Xu9MU2PLEqH7+/Zv1K5ARzjAAcAMIn5M47x\noWGMdaTLEQmOM1lzROJwwjrjAIqkTBYoysFqXMcmlpVswYqFS+S4Th2vcS+pGaM0Pr26z1TOZlKTtOqRFi6yYPOv3n7zn/2TP9v3zSaMPmkvJCr+wueskmVhXua3efOyeWX/+6aysoieTlkRC3GnO6hb\nSYVu8PI8K8RIf8JZUZ4XgrV+uDB/tH4SF6Xz9meRiNHYtFj8V3/4yOTZ6OBg9c6F6cHWe5Jl96v3ePZueuX2xL71c2remmnu2Yjl76bnJnDcbFj9v7O5y9evbMNLFgvbDpuXXNt8f7JnoFKYrHJw/HH1\n4kdlBp9VpWoasYD6/zV2DEZcu1/ngmmdkvSnfH6t4geeTEv9wdnItqXf/Hl1mwuV67RzNvpo29RvTnkqLkWS8Mz5YrYQCf+14NnPgieb9//8ZlNH80asqkz/fXgysbNAFsnX55gvTSLSn2bMaPLdBEjz\n7UpsGrfh/1nB9hsl2uIXnJlsHO2/RtjuoxAHJqJwtradWb3advstVEOHb9XQ0Vs1dPxWDU3eqqGTt2row1s1ZDH/z4ZElujEb78PmwHUXRyPG9Ecj9nQHI+X0ByPVdAcjxPQHM9ER3M88xjN8UxTBKdU\nsW8WOpP90DPbu7m79xFh3N27hDDu7j1AGHd3wg/j7s7vYdzd6TyMuzt7h3F3J2s8t15qRVfaZlk52GVzpcpMlTwq+fNwGss0y5aoNDyz0+M5yUYSYOrM1uyIB9NiZl/vniHWpOH789JUepGaR3NxX+W8\nGNxxnj1yqZY8YkmieYTAnJdV7hmRkDmd8znPeRZzyolNBzWVYJRV6Yxgbi7ZPRmLZwnx8K2IJElhPaF1/bwwJhEEkzplca6Gd00xsvxwLYrhY2Ug0edKSk7E+k4zxSxreG1gMcNLA4sZXhlYzPDCwNGM\naogaGtFINTSiAWtoRONWz0+qcWtoROPW0IjGraENH7c7UUqb4t1Vx37/Y3cXUpmTCoP7MRX3GdMLgOG7m+aYaXTLcnafs+UiMkel27HuNmPb+aySl+iOYp+2JlGt6+0UudBbLbJq+IBu0ajMteYR2WvN\nIzLYmjfcYjd6mWwWaJc09cy0mpWtprWkXqadMlnVC9rhbmPl8Bm2McA3kRdkNmjHEszg72Y5a+SkyHybXg7v2IY13FavsxJp9xokQS+lih9o0vDly5Lnuix7GEz6pqRUTzyhI07LXNVzzbX8gZWkl+W/\npssFK4StlbYQ/Xf1q8sRohu2HLxBt5KJjEa3r+9SJmREt4K4vLu5ju7U0pSZZmBogJ9VWaqUjNkcCfzbLz77O00Hz3URnL0Qbe050eEhC7sQBDuZmqQSIpJeZopMkOxDLe+f/GWmWJ7Q0G5zXl8BVHIi\n4pSly3rRQeAtnRefdP4hWA1Z3r9YLsxxISpT3ZHAnMOGRTX7N4+Hp7rvKiI5MvRHVdrjj3apa6PpcMOXCVu44UsEq6bePZj5S7CxW7jhG7uFo9rYC8mKQnhPoQbzqDZ3xaPe3uHFX8NTUuXzStIN4ApI\nNoIrINkQKlmlWUG5xZZHuMGWR729hFPG8ggOyVneP3KRkIlhYVRKWBiVDBZGpYGFkQow/AodBzb8Mh0HNvxanRpGtARwYFTzjHT3T3SWx4FRzTMLo5pnFkY1zyyMap4dfon4fK4XwXS7GAdJNeccJN2O\nJit5ulQ5y1+IkF8lv2cEB0hr2m2u5ubWEJXVF3ETIM0xakm42K5xVCL/4jOyrhkWZb8IjogyKZUiOra22eHYyO1r13aF2Ts5BnfhVrKYL5RMeO7ZJn+srpen9W0Zr7tvu9HrsOe1uF+U0XSxPtrvYiZ7\nOyNXBftW2O4G28Z8srqfpS3shieiSlcdhTdTTA77B9sZvRV8tDt4s5LYijzuGQnbnOyO3KyStyJPekbCNj/0jLQ+3Yrs8sMXlj+0ToSTrvmzrvE8k++kaxatg1ub7ZpI68i2KXjSNYu2rBKdx7E5WwDV\n6ecZf3w/8/jjMS7yUzB28lN6+8qP6DLYD/4ozJ4dkzRte+urJ0Det4voXpnzz0rVx+23Tjj1v6nrSi+csoJHrZzD/ieutrKMfxx7pxs/onfe8SN6JyA/olcm8oajUpKf0js3+RG9k5Qfgc5WcI+Ay1Yw\nHpetYHxItoKUkGw1YBXgR/ReDvgRaKNCBNqoA1YKfgTKqCA8yKiQgjYqRKCNChFoo8IFGM6oMB5nVBgfYlRICTEqpKCNChFoo0IE2qgQgTYqRKCNGri294YHGRVS0EaFCLRRIQJtVLteHGBUGI8zKowP\nMSqkhBgVUtBGhQi0USECbVSIQBsVItBGhQiUUUF4kFEhBW1UiEAbFSLQRq1vNQw3KozHGRXGhxgVUkKMCiloo0IE2qgQgTYqRKCNChFoo0IEyqggPMiokII2KkSgjQoRaKPak4UDjArjcUaF8SFGhZQQ\no0IK2qgQgTYqRKCNChFoo0IE2qgQgTIqCA8yKqSgjQoRaKNCRNf8bE5R+i6z38cf9fResd//1FXTqR/urdwu6rA/atUrP6v/vQiflXqIWm88PLT1Rj+ImEmh7CFqz2l1l2sviUCd+PzjovsOH5c+8KFL\nzb0Q9pwpgB/1jQTHVI66prwbCYq8o66Z7kaCVedRV/Z1I8Fu8Kgr6Vpfri5K0bsjENyVZpzgfU94V7Z2wuEQd+VoJxCOcFdmdgLhAHflYyfwODLJ+XX0cc9xmqyvLwWErunoEE78hK5pCbVapWNojL6i\n+Ql91fMT+sroJ6D09GLwwvpRaIX9qDCpoc2wUocb1U/ASg0JQVIDTLjUEBUsNUSFSQ0TI1ZqSMBKHZ6c/YQgqQEmXGqICpYaosKkhrsyrNSQgJUaErBSD9whezHhUkNUsNQQFSY1XNxhpYYErNSQgJUa\nEoKkBphwqSEqWGqICpMaVMloqSEBKzUkYKWGhCCpASZcaogKlhqiuqS2R1G2pEYp7ITjFmFOIG6H7ATikrMTGFAtOdGB1ZJDCKyWoFYrzXHVkiuan9BXPT+hr4x+AkpPLwYvrB+FVtiPCpMaVy21SR1u\nVD8BKzWuWvJKjauWOqXGVUudUuOqJb/UuGqpTWpctdQmdXhy9hOCpMZVS51S46qlTqlx1ZJfaly11CY1rlpqkxpXLbVJPXCH7MWES42rljqlxlVLfqlx1VKb1LhqqU1qXLXUJjWuWvJKjauWOqXGVUud\nUuOqJb/UuGqpTWpctdQmNa5aapMaVy15pcZVS51S46qlTqlx1dKNDhEEj4CapiwvI7rnxV2yYlGy4Q8n/JnlvFDykScR7aZeo7Zy/LT181eGbX+bT3+/1GNmnoDu3K6U1E+AbYD2i1fJ+meqTLDpSdT8\nIFjztu1wc7q2btEGwqbihW4rbp5d5WmqeQbt+iYq+wTa1w17HlRrO7KZgKtvN0O6Ga/6e1uj1dnv0kz4jj5bQ3SOUe0ZXwc/NklgVw91f2ay/sk0/cdVlmjAU/NzYXVPk2dWo/TnF1zKG1Z/Wy39X5V8\nXtaf7u/ZRxa8+nxWP33PG5/bNO0FjLc7U79sfrbNM9718/ib6we8U9LkopbhthezDB3pTd9WfxWf/gcAAP//AwBQSwMEFAAGAAgAAAAhAO8KKU5OAQAAfgMAABQAAAB3b3JkL3dlYlNldHRpbmdzLnht\nbJzTX2vCMBAA8PfBvkPJu6bKFClWYQzHXsZg2weI6dWGJbmSi6vu0+/aqXP4YveS//fjLiHz5c7Z5BMCGfS5GA1TkYDXWBi/ycX722owEwlF5Qtl0UMu9kBiubi9mTdZA+tXiJFPUsKKp8zpXFQx1pmU\npCtwioZYg+fNEoNTkadhI50KH9t6oNHVKpq1sSbu5ThNp+LAhGsULEuj4QH11oGPXbwMYFlET5Wp6ag112gNhqIOqIGI63H2x3PK+BMzuruAnNEBCcs45GIOGXUUh4/SbuTsLzDpB4wvgKmGXT9jdjAk\nR547pujnTE+OKc6c/yVzBlARi6qXMj7eq2xjVVSVoupchH5JTU7c3rV35HT2tPEY1NqyxK+e8MMlHdy2XH/bdUPYdettCWLBHwLraJz5ghWG+4ANQZDtsrIWm5fnR57IP79m8Q0AAP//AwBQSwMEFAAG\nAAgAAAAhAL8v13/vAQAAegYAABIAAAB3b3JkL2ZvbnRUYWJsZS54bWzck8GOmzAQhu+V+g7I9w2GhGyKlqzUdiNVqnqotg/gGAPWYht5nJC8fceGsJGilZYeelgOxv7H83nmxzw8nlQbHYUFaXRBkgUl\nkdDclFLXBfnzvLvbkAgc0yVrjRYFOQsgj9vPnx76vDLaQYT5GnLFC9I41+VxDLwRisHCdEJjsDJWMYdLW8eK2ZdDd8eN6piTe9lKd45TStdkxNj3UExVSS6+G35QQruQH1vRItFoaGQHF1r/HlpvbNlZ\nwwUA9qzagaeY1BMmWd2AlOTWgKncApsZKwooTE9omKn2FZDNA6Q3gDUXp3mMzciIMfOaI8t5nPXEkeUV59+KuQJA6cpmFiW9+Br7XOZYw6C5Jop5RWUT7qy8R4rnP2ptLNu3SMKvHuGHiwLYj9i/f4Wp\nOAXdt0C2468Q9blmCjO/sVburQyBjmkDIsHYkbUFwR52NKO+l5Su6NKPJPYbecMsCA8ZNtJBrpiS7fmiQi8BhkAnHW8u+pFZ6aseQiBrDBxgTwvytKI0fdrtyKAkWB1FZXX/dVRSf1Z4vozKclKoV3jg\nhGUycHjgTHvwzHhw4MaJZ6kERL9EH/02iuk3HEnpGp3I0A/vzHKWIzZwZzni+79x5H6T/RdHxrsR/ZR14968If5efNAbMk5g+xcAAP//AwBQSwMEFAAGAAgAAAAhAK8LBhRvAQAA+QIAABEACAFkb2NQ\ncm9wcy9jb3JlLnhtbCCiBAEooAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJySUU+DMBDH3038DqTv0MISMwmwRM2eXGIiRuNbbW9bHbRN243x7S2wMYl78u2u97v/Xf9ttjjWVXAAY4WSOYoj\nggKQTHEhNzl6K5fhHAXWUclppSTkqAWLFsXtTcZ0ypSBF6M0GCfABl5J2pTpHG2d0ynGlm2hpjbyhPTFtTI1dT41G6wp29EN4ISQO1yDo5w6ijvBUI+K6CTJ2Sip96bqBTjDUEEN0lkcRzG+sA5Mba82\n9JVfZC1cq+Eqei6O9NGKEWyaJmpmPer3j/HH6vm1v2ooZOcVA1RknKVOuAqKDF9CH9n91zcwNxyPiY+ZAeqUKUoqaFAaKm1FnX8V25Pnauf7DtpGGW69xiTzGAfLjNBd3zBhcuDpilq38s+7FsAf2mvD\n/kJdn4GD6P5IEffEmGYnw4cFgQfeqHSw9Vx5nz0+lUtUJCRJQjIP43lJ7tMkSQn57Hac9F8E69MC/1Y8Cww2TT9r8QMAAP//AwBQSwMEFAAGAAgAAAAhAJPtA69tAQAAwwIAABAACAFkb2NQcm9wcy9h\ncHAueG1sIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAnFLLbsIwELxX6j9EuYNDpSKKFqMKVPXQl0SAs+VsEquObdkGwd93Q0qaqrfmtDO7O5qdGJanRidH9EFZs0gn4yxN0EhbKFMt\n0m3+NJqlSYjCFEJbg4v0jCFd8tsb+PDWoY8KQ0ISJizSOkY3ZyzIGhsRxtQ21Cmtb0Qk6Ctmy1JJXFt5aNBEdpdlU4aniKbAYuR6wbRTnB/jf0ULK1t/YZefHelxyLFxWkTkb+2mBtYTkNsodK4a5BnR\nPYAPUWHgE2BdAXvrC8I01FWwqoUXMlJ2/P4B2ADCo3NaSREpVP6qpLfBljF5vzhN2nVgwxEg9xuUB6/iuXUxhPCiTOejK8iXF5UXrv421yPYSKFxRXfzUuiAwH4IWNnGCUNyrK9I7zNsXW7XbQ7fK7/J\nwY17FeuNE5IsTGfDawcN2BCLBdnvHfQEPNOv8LqVp11TYXGd+dto89t1b5JPpuOMvktgV47O7h8L/wIAAP//AwBQSwECLQAUAAYACAAAACEA36TSbFoBAAAgBQAAEwAAAAAAAAAAAAAAAAAAAAAAW0Nv\nbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQAekRq37wAAAE4CAAALAAAAAAAAAAAAAAAAAJMDAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQBHBdpPZAMAAGENAAARAAAAAAAAAAAAAAAA\nALMGAAB3b3JkL2RvY3VtZW50LnhtbFBLAQItABQABgAIAAAAIQDWZLNR9AAAADEDAAAcAAAAAAAAAAAAAAAAAEYKAAB3b3JkL19yZWxzL2RvY3VtZW50LnhtbC5yZWxzUEsBAi0AFAAGAAgAAAAhALb0\nZ5jSBgAAySAAABUAAAAAAAAAAAAAAAAAfAwAAHdvcmQvdGhlbWUvdGhlbWUxLnhtbFBLAQItABQABgAIAAAAIQBbD8VLDAQAAKULAAARAAAAAAAAAAAAAAAAAIETAAB3b3JkL3NldHRpbmdzLnhtbFBL\nAQItABQABgAIAAAAIQDp3SfLhgsAAA9zAAAPAAAAAAAAAAAAAAAAALwXAAB3b3JkL3N0eWxlcy54bWxQSwECLQAUAAYACAAAACEA7wopTk4BAAB+AwAAFAAAAAAAAAAAAAAAAABvIwAAd29yZC93ZWJT\nZXR0aW5ncy54bWxQSwECLQAUAAYACAAAACEAvy/Xf+8BAAB6BgAAEgAAAAAAAAAAAAAAAADvJAAAd29yZC9mb250VGFibGUueG1sUEsBAi0AFAAGAAgAAAAhAK8LBhRvAQAA+QIAABEAAAAAAAAAAAAA\nAAAADicAAGRvY1Byb3BzL2NvcmUueG1sUEsBAi0AFAAGAAgAAAAhAJPtA69tAQAAwwIAABAAAAAAAAAAAAAAAAAAtCkAAGRvY1Byb3BzL2FwcC54bWxQSwUGAAAAAAsACwDBAgAAVywAAAAA",
                "form": "base64"
              }
            }
          },
          "body": ""
        },
        {
          "datatype": "x-rkm",
          "filter": "com.matecat.filters.DefaultFilter",
          "original": "manifest.rkm",
          "source-language": "en-GB",
          "target-language": "de-DE",
          "tool-id": "matecat-converter 1.3.14",
          "header": {
            "reference": {
              "internal-file": {
                "_": "PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPCEtLT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09LS0+Cjwh\nLS1QTEVBU0UsIERPIE5PVCBSRU5BTUUsIE1PVkUsIE1PRElGWSBPUiBBTFRFUiBJTiBBTlkgV0FZIFRISVMgRklMRS0tPgo8IS0tPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09\nPT09PT09PT09PT09PT09PT09PT09PT09PT0tLT4KPG1hbmlmZXN0IHZlcnNpb249IjIiIGxpYlZlcnNpb249IjEuNDAuNC1UUkFOU0xBVEVEIiBwcm9qZWN0SWQ9Ik5FMTE3OUYwNyIgcGFja2FnZUlk\nPSI5OTY3YmMxMC1hYTY0LTQ0M2MtYTA0My03N2QwMmM1MjZlODciIHNvdXJjZT0iZW4tR0IiIHRhcmdldD0iZGUtREUiIG9yaWdpbmFsU3ViRGlyPSJvcmlnaW5hbCIgc2tlbGV0b25TdWJEaXI9InNr\nZWxldG9uIiBzb3VyY2VTdWJEaXI9IndvcmsiIHRhcmdldFN1YkRpcj0id29yayIgbWVyZ2VTdWJEaXI9ImRvbmUiIHRtU3ViRGlyPSIiIGRhdGU9IjIwMjMtMDEtMTkgMTU6MTI6MDArMDAwMCIgdXNl\nQXBwcm92ZWRPbmx5PSIwIiB1cGRhdGVBcHByb3ZlZEZsYWc9IjAiPgo8Y3JlYXRvclBhcmFtZXRlcnM+STNZeENuQnNZV05sYUc5c1pHVnlUVzlrWlM1aVBYUnlkV1VLYVc1amJIVmtaVTV2VkhKaGJu\nTnNZWFJsTG1JOWRISjFaUXB6WlhSQmNIQnliM1psWkVGelRtOVVjbUZ1YzJ4aGRHVXVZajFtWVd4elpRcGpiM0I1VTI5MWNtTmxMbUk5ZEhKMVpRcHBibU5zZFdSbFFXeDBWSEpoYm5NdVlqMTBjblZs\nQ21sdVkyeDFaR1ZEYjJSbFFYUjBjbk11WWoxbVlXeHpaUXBwYm1Oc2RXUmxTWFJ6TG1JOWRISjFaUXBsYzJOaGNHVkhWQzVpUFhSeWRXVT08L2NyZWF0b3JQYXJhbWV0ZXJzPgo8ZG9jIHhtbDpzcGFj\nZT0icHJlc2VydmUiIGRvY0lkPSIxIiBleHRyYWN0aW9uVHlwZT0ieGxpZmYiIHJlbGF0aXZlSW5wdXRQYXRoPSJ0ZXN0X210LmRvY3giIGZpbHRlcklkPSJva2Zfb3BlbnhtbCIgaW5wdXRFbmNvZGlu\nZz0iVVRGLTgiIHJlbGF0aXZlVGFyZ2V0UGF0aD0idGVzdF9tdC5vdXQuZG9jeCIgdGFyZ2V0RW5jb2Rpbmc9IlVURi04IiBzZWxlY3RlZD0iMSI+STNZeENtSlFjbVZtWlhKbGJtTmxWSEpoYm5Oc1lY\nUmxSRzlqVUhKdmNHVnlkR2xsY3k1aVBXWmhiSE5sQ21KUWNtVm1aWEpsYm1ObFZISmhibk5zWVhSbFEyOXRiV1Z1ZEhNdVlqMW1ZV3h6WlFwaVVISmxabVZ5Wlc1alpWUnlZVzV6YkdGMFpWQnZkMlZ5\nY0c5cGJuUk9iM1JsY3k1aVBYUnlkV1VLWWxCeVpXWmxjbVZ1WTJWVWNtRnVjMnhoZEdWUWIzZGxjbkJ2YVc1MFRXRnpkR1Z5Y3k1aVBXWmhiSE5sQ21KUWNtVm1aWEpsYm1ObFNXZHViM0psVUd4aFky\nVm9iMnhrWlhKelNXNVFiM2RsY25CdmFXNTBUV0Z6ZEdWeWN5NWlQV1poYkhObENtSlFjbVZtWlhKbGJtTmxWSEpoYm5Oc1lYUmxWMjl5WkVobFlXUmxjbk5HYjI5MFpYSnpMbUk5ZEhKMVpRcGlVSEps\nWm1WeVpXNWpaVlJ5WVc1emJHRjBaVmR2Y21SSWFXUmtaVzR1WWoxbVlXeHpaUXBpVUhKbFptVnlaVzVqWlZSeVlXNXpiR0YwWlZkdmNtUkZlR05zZFdSbFIzSmhjR2hwWTAxbGRHRkVZWFJoTG1JOWRI\nSjFaUXBpVUhKbFptVnlaVzVqWlZSeVlXNXpiR0YwWlZCdmQyVnljRzlwYm5SSWFXUmtaVzR1WWoxbVlXeHpaUXBpVUhKbFptVnlaVzVqWlZSeVlXNXpiR0YwWlVWNFkyVnNTR2xrWkdWdUxtSTlabUZz\nYzJVS1lsQnlaV1psY21WdVkyVlVjbUZ1YzJ4aGRHVkZlR05sYkVWNFkyeDFaR1ZEYjJ4dmNuTXVZajFtWVd4elpRcGlVSEpsWm1WeVpXNWpaVlJ5WVc1emJHRjBaVVY0WTJWc1JYaGpiSFZrWlVOdmJI\nVnRibk11WWoxbVlXeHpaUXBpVUhKbFptVnlaVzVqWlZSeVlXNXpiR0YwWlVWNFkyVnNVMmhsWlhST1lXMWxjeTVpUFdaaGJITmxDbUpRY21WbVpYSmxibU5sUVdSa1RHbHVaVk5sY0dGeVlYUnZja0Z6\nUTJoaGNtRmpkR1Z5TG1JOVptRnNjMlVLYzFCeVpXWmxjbVZ1WTJWTWFXNWxVMlZ3WVhKaGRHOXlVbVZ3YkdGalpXMWxiblE5SkRCaEpBcGlVSEpsWm1WeVpXNWpaVkpsY0d4aFkyVk9iMEp5WldGclNI\nbHdhR1Z1VkdGbkxtSTlkSEoxWlFwaVVISmxabVZ5Wlc1alpVbG5ibTl5WlZOdlpuUkllWEJvWlc1VVlXY3VZajEwY25WbENtSlFjbVZtWlhKbGJtTmxRV1JrVkdGaVFYTkRhR0Z5WVdOMFpYSXVZajEw\nY25WbENtSlFjbVZtWlhKbGJtTmxRV2RuY21WemMybDJaVU5zWldGdWRYQXVZajEwY25WbENtSlFjbVZtWlhKbGJtTmxRWFYwYjIxaGRHbGpZV3hzZVVGalkyVndkRkpsZG1semFXOXVjeTVpUFdaaGJI\nTmxDbUpRY21WbVpYSmxibU5sVUc5M1pYSndiMmx1ZEVsdVkyeDFaR1ZrVTJ4cFpHVk9kVzFpWlhKelQyNXNlUzVpUFdaaGJITmxDbUpRY21WbVpYSmxibU5sVkhKaGJuTnNZWFJsUlhoalpXeEVhV0Zu\nY21GdFJHRjBZUzVpUFdaaGJITmxDbUpRY21WbVpYSmxibU5sVkhKaGJuTnNZWFJsUlhoalpXeEVjbUYzYVc1bmN5NWlQV1poYkhObENuTjFZbVpwYkhSbGNqMEtZa2x1UlhoamJIVmtaVTF2WkdVdVlq\nMTBjblZsQ21KSmJrVjRZMngxWkdWSWFXZG9iR2xuYUhSTmIyUmxMbUk5ZEhKMVpRcGlVSEpsWm1WeVpXNWpaVlJ5WVc1emJHRjBaVmR2Y21SRmVHTnNkV1JsUTI5c2IzSnpMbUk5Wm1Gc2MyVUtZbEps\nYjNKa1pYSlFiM2RsY25CdmFXNTBUbTkwWlhOQmJtUkRiMjF0Wlc1MGN5NWlQV1poYkhObENtOTFkSEIxZEZObFoyMWxiblJoZEdsdmJsUjVjR1V1YVQwekNuUnpRMjl0Y0d4bGVFWnBaV3hrUkdWbWFX\nNXBkR2x2Ym5OVWIwVjRkSEpoWTNRdWFUMHhDbU5tWkRBOVNGbFFSVkpNU1U1TENuUnpSWGhqWld4RmVHTnNkV1JsWkVOdmJHOXljeTVwUFRBS2RITkZlR05sYkVWNFkyeDFaR1ZrUTI5c2RXMXVjeTVw\nUFRBS2RITkZlR05zZFdSbFYyOXlaRk4wZVd4bGN5NXBQVEFLZEhOWGIzSmtTR2xuYUd4cFoyaDBRMjlzYjNKekxtazlNQXAwYzFkdmNtUkZlR05zZFdSbFpFTnZiRzl5Y3k1cFBUQUtkSE5RYjNkbGNu\nQnZhVzUwU1c1amJIVmtaV1JUYkdsa1pVNTFiV0psY25NdWFUMHc8L2RvYz4KPC9tYW5pZmVzdD4=",
                "form": "base64"
              }
            }
          },
          "body": ""
        },
        {
          "datatype": "x-undefined",
          "original": "word/document.xml",
          "source-language": "en-GB",
          "target-language": "de-DE",
          "body": {
            "trans-unit": [
              {
                "id": "NFDBB2FA9-tu1",
                "xml:space": "preserve",
                "source": {
                  "_": "This is Word file.",
                  "xml:lang": "en-GB",
                  "g": {
                    "_": "styled ",
                    "id": "1"
                  }
                },
                "seg-source": {
                  "mrk": {
                    "_": "This is Word file.",
                    "mid": "0",
                    "mtype": "seg",
                    "g": {
                      "_": "styled ",
                      "id": "1"
                    }
                  }
                },
                "target": {
                  "xml:lang": "de-DE",
                  "mrk": {
                    "_": "This is Word file.",
                    "mid": "0",
                    "mtype": "seg",
                    "g": {
                      "_": "styled ",
                      "id": "1"
                    }
                  }
                }
              },
              {
                "id": "NFDBB2FA9-tu2",
                "xml:space": "preserve",
                "source": {
                  "_": "Please expect a full MT translation of it.",
                  "xml:lang": "en-GB"
                },
                "seg-source": {
                  "mrk": {
                    "_": "Please expect a full MT translation of it.",
                    "mid": "0",
                    "mtype": "seg"
                  }
                },
                "target": {
                  "xml:lang": "de-DE",
                  "mrk": {
                    "_": "Please expect a full MT translation of it.",
                    "mid": "0",
                    "mtype": "seg"
                  }
                }
              }
            ]
          }
        },
        {
          "datatype": "x-undefined",
          "original": "word/settings.xml",
          "source-language": "en-GB",
          "target-language": "de-DE",
          "body": "\n"
        }
      ]
    }
  }
]

I then proceed splitting the xliff.file.2.body.trans-unit to items, to get this:

[
  {
    "id": "NFDBB2FA9-tu1",
    "xml:space": "preserve",
    "source": {
      "_": "This is Word file.",
      "xml:lang": "en-GB",
      "g": {
        "_": "styled ",
        "id": "1"
      }
    },
    "seg-source": {
      "mrk": {
        "_": "This is Word file.",
        "mid": "0",
        "mtype": "seg",
        "g": {
          "_": "styled ",
          "id": "1"
        }
      }
    },
    "target": {
      "xml:lang": "de-DE",
      "mrk": {
        "_": "This is Word file.",
        "mid": "0",
        "mtype": "seg",
        "g": {
          "_": "styled ",
          "id": "1"
        }
      }
    }
  },
  {
    "id": "NFDBB2FA9-tu2",
    "xml:space": "preserve",
    "source": {
      "_": "Please expect a full MT translation of it.",
      "xml:lang": "en-GB"
    },
    "seg-source": {
      "mrk": {
        "_": "Please expect a full MT translation of it.",
        "mid": "0",
        "mtype": "seg"
      }
    },
    "target": {
      "xml:lang": "de-DE",
      "mrk": {
        "_": "Please expect a full MT translation of it.",
        "mid": "0",
        "mtype": "seg"
      }
    }
  }
]

Which allows me to grab my “target” segments with {{$json["target"]["mrk"]["_"]}} and send them to the machine translation.

I’m at a loss though on how to get these back into the original XLIFF.

Thanks for helping me out!

Hey @Jon
sorry to bother here, was just wondering if you have any pointers to show me the right path?
Patiently hoping for help here :slight_smile:

Hey @Matija_Kovac,

Sadly I have not had time to take another look at this one, I will try and fit it in this week though.

Hey @Jon, no worries, I’m not in a hurry here. Thanks for helping out!